Yayınlar & Eserler

Yayın Ağı
Makaleler 88
Tümü (88)
SCI-E, SSCI, AHCI (83)
SCI-E, SSCI, AHCI, ESCI (88)
ESCI (2)
Scopus (88)
TRDizin (2)

1. Analysis of photocatalytic water splitting and CO2 reduction activity of halide perovskites: A machine learning approach

YILMAZ B., YILDIRIM R.
Applied Catalysis B: Environmental , cilt.385, 2026 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

2. Current state of the art and future perspectives for photocatalytic CO2 reduction

Özdemir P., YILDIRIM R.
Journal of Energy Chemistry , cilt.116, ss.914-932, 2026 (SCI-Expanded, Scopus)

3. Text-mining and bibliometric analyses for proton exchange membrane electrolyzers

Firtin A., Yilmaz A., Eroglu I., YILDIRIM R., EROĞLU PALA D.
International Journal of Hydrogen Energy , cilt.211, 2026 (SCI-Expanded, Scopus)

4. Machine Learning for Catalytic Reaction Systems: A Framework for Complex Chemical Processes

Günay M. E., YILDIRIM R.
ACS Engineering Au , cilt.6, sa.1, ss.48-67, 2026 (ESCI, Scopus)

5. Data as a Key Resource in Catalysis: A Community Account

Mendes P. S. F., López N., De S., Fushimi R., YILDIRIM R., Trunschke A.
ChemCatChem , cilt.17, sa.24, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

6. Key aspects of sustainable and high-performance K-ion batteries: A machine learning approach

YÜKSEL K., EROĞLU PALA D., YILDIRIM R.
Journal of Power Sources , cilt.657, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

7. Machine learning analysis of photocatalytic CO2 reduction on perovskite materials

Zırhlıoğlu İ. G., YILDIRIM R.
Materials Research Bulletin , cilt.188, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

8. ML@ChemE: Past, Present, and Future of Machine Learning in Chemical Engineering

Özdemir P., YILDIRIM R.
ChemBioEng Reviews , cilt.12, sa.4, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

9. Using machine learning to guide the synthesis of supported palladium catalysts with desired palladium dispersion

Tiras K., Oral B., Arslan N. K., Alemdar S., YILDIRIM R., Uzun A.
Journal of Catalysis , cilt.448, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

10. Machine learning analysis of photocatalytic glycerol reforming for hydrogen production

Oral B., Karakoyun R., Bilgin E., YILDIRIM R.
International Journal of Hydrogen Energy , cilt.142, ss.1014-1025, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

11. Ionic liquid electrolytes for metal-air batteries: High-throughput screening and machine learning modeling

Kilic A., Uzun A., YILDIRIM R., EROĞLU PALA D.
Electrochimica Acta , cilt.524, 2025 (SCI-Expanded, Scopus)

12. Performance Assessment of Catalyst Materials for CO2 Hydrogenation to Methanol Using Explainable Machine Learning

YILMAZ B., Ceylan H. B., Yaz G., YILDIRIM R.
Energy and Fuels , cilt.39, sa.21, ss.9956-9967, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

13. Explainable machine learning analysis of tri-reforming of biogas for sustainable syngas production

Coşgun A., Günay M. E., YILDIRIM R.
International Journal of Hydrogen Energy , cilt.127, ss.595-607, 2025 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

14. Machine learning for a sustainable energy future

Oral B., Coşgun A., Kilic A., EROĞLU PALA D., Günay M. E., YILDIRIM R.
Chemical Communications , cilt.61, sa.7, ss.1342-1370, 2024 (SCI-Expanded, Scopus) Creative Commons License Sürdürülebilir Kalkınma

15. Machine Learning–Based Analysis of Sustainable Biochar Production Processes

Coşgun A., Oral B., Günay M. E., YILDIRIM R.
Bioenergy Research , cilt.17, sa.4, ss.2311-2327, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

16. Predictive Modeling and SHAP (SHapley Additive ExPlanations) Analysis for Enhancing Natural Dye-Sensitized Solar Cell Performance

Oral B., Maddah H. A., YILDIRIM R.
Solar RRL , cilt.8, sa.22, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

17. Effects of dead volume and inert sweep gas flow on photocatalytic hydrogen evolution over Pt/TiO2

Can Özcan E., ÜNER D., YILDIRIM R.
International Journal of Hydrogen Energy , cilt.75, ss.540-546, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

18. Selection of ionic liquid electrolytes for high-performing lithium-sulfur batteries: An experiment-guided high-throughput machine learning analysis

Kilic A., Abdelaty O., Zeeshan M., Uzun A., YILDIRIM R., EROĞLU PALA D.
Chemical Engineering Journal , cilt.490, 2024 (SCI-Expanded, Scopus)

19. Machine learning-based exploration of biochar for environmental management and remediation

Oral B., Coşgun A., Günay M. E., YILDIRIM R.
Journal of Environmental Management , cilt.360, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

20. Halide Perovskites for Photoelectrochemical Water Splitting and CO2 Reduction: Challenges and Opportunities

Bienkowski K., Solarska R., Trinh L., Widera-Kalinowska J., Al-Anesi B., Liu M., et al.
ACS Catalysis , cilt.14, sa.9, ss.6603-6622, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

21. Analysis of photocatalytic CO2 reduction over MOFs using machine learning

Özsoysal S., Oral B., YILDIRIM R.
Journal of Materials Chemistry A , cilt.12, sa.10, ss.5748-5759, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

22. Phytochemicals in Pancreatic Cancer Treatment: A Machine Learning Study

Genc D. E., ÖZBEK Ö., Oral B., YILDIRIM R., İLERİ ERCAN N.
ACS Omega , cilt.9, sa.1, ss.413-421, 2024 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

23. Photocatalytic glycerol reforming on Pt, Au and Cu supported by reduced TiO2 under visible light irradiation

Özdemir P., YILDIRIM R.
International Journal of Hydrogen Energy , cilt.52, ss.283-294, 2024 (SCI-Expanded, Scopus)

24. Machine learning for beyond Li-ion batteries: Powering the research

Kilic A., Oral B., EROĞLU PALA D., YILDIRIM R.
Journal of Energy Storage , cilt.73, 2023 (SCI-Expanded, Scopus)

25. Machine learning analysis of catalytic CO2 methanation

YILMAZ B., Oral B., YILDIRIM R.
International Journal of Hydrogen Energy , cilt.48, sa.64, ss.24904-24914, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

26. Machine learning for algal biofuels: a critical review and perspective for the future

Coşgun A., Günay M. E., YILDIRIM R.
Green Chemistry , cilt.25, sa.9, ss.3354-3373, 2023 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

27. A critical review of machine learning for lignocellulosic ethanol production via fermentation route

Coşgun A., Günay M. E., YILDIRIM R.
Biofuel Research Journal , cilt.10, sa.2, ss.1859-1875, 2023 (ESCI, Scopus) Creative Commons License

28. Assessment of ionic liquid electrolytes for high-performance lithium-sulfur batteries using machine learning

Kilic A., YILDIRIM R., EROĞLU PALA D.
International Journal of Energy Research , cilt.46, sa.15, ss.21716-21726, 2022 (SCI-Expanded, Scopus)

29. Performance analysis of Na-ion batteries by machine learning

Oral B., Tekin B., EROĞLU PALA D., YILDIRIM R.
Journal of Power Sources , cilt.549, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

30. Machine learning analysis of gas phase photocatalytic CO2 reduction for hydrogen production

Saadetnejad D., Oral B., Can Özcan E., YILDIRIM R.
International Journal of Hydrogen Energy , cilt.47, sa.45, ss.19655-19668, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

31. Analysis of photoelectrochemical water splitting using machine learning

Oral B., Can Özcan E., YILDIRIM R.
International Journal of Hydrogen Energy , cilt.47, sa.45, ss.19633-19654, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

32. Analysis of lipid production from Yarrowia lipolytica for renewable fuel production by machine learning

Coşgun A., Günay M. E., YILDIRIM R.
Fuel , cilt.315, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

33. Predicting biodiesel properties and its optimal fatty acid profile via explainable machine learning

Suvarna M., Jahirul M. I., Aaron-Yeap W. H., Augustine C. V., Umesh A., Rasul M. G., et al.
Renewable Energy , cilt.189, ss.245-258, 2022 (SCI-Expanded, Scopus)

34. Efficiency and Stability Analysis of 2D/3D Perovskite Solar Cells Using Machine Learning

YILMAZ B., Odabaşı Ç., YILDIRIM R.
Energy Technology , cilt.10, sa.3, 2022 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

35. Enhancing Charge Transfer in Photocatalytic Hydrogen Production over Dye-Sensitized Pt/TiO2by Ionic Liquid Coating

Can Özcan E., URALCAN KILAVUZ B., YILDIRIM R.
ACS Applied Energy Materials , cilt.4, sa.10, ss.10931-10939, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

36. Determining the Key Performance Factors in Lithium-Oxygen Batteries Using Machine Learning

Kilic A., EROĞLU PALA D., YILDIRIM R.
Journal of the Electrochemical Society , cilt.168, sa.9, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

37. Predicting water solubility in ionic liquids using machine learning towards design of hydro-philic/phobic ionic liquids

Can Özcan E., Jalal A., Zirhlioglu I. G., Uzun A., YILDIRIM R.
Journal of Molecular Liquids , cilt.332, 2021 (SCI-Expanded, Scopus)

38. Machine learning analysis of ni/sic electrodeposition using association rule mining and artificial neural network

Kilic A., YILDIRIM R., EROĞLU PALA D.
Journal of the Electrochemical Society , cilt.168, sa.6, 2021 (SCI-Expanded, Scopus)

39. Machine Learning Meets with Metal Organic Frameworks for Gas Storage and Separation

Altintas C., Altundal O. F., Keskin S., YILDIRIM R.
Journal of Chemical Information and Modeling , cilt.61, sa.5, ss.2131-2146, 2021 (SCI-Expanded, Scopus)

40. Cytotoxicity analysis of nanoparticles by association rule mining

Gul G., YILDIRIM R., İLERİ ERCAN N.
Environmental Science: Nano , cilt.8, sa.4, ss.937-949, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

41. Critical review of machine learning applications in perovskite solar research

YILMAZ B., YILDIRIM R.
Nano Energy , cilt.80, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

42. Recent advances in knowledge discovery for heterogeneous catalysis using machine learning

Erdem Günay M., YILDIRIM R.
Catalysis Reviews - Science and Engineering , cilt.63, sa.1, ss.120-164, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

43. Exploring the critical factors of algal biomass and lipid production for renewable fuel production by machine learning

Coşgun A., Günay M. E., YILDIRIM R.
Renewable Energy , cilt.163, ss.1299-1317, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

44. Photocatalytic hydrogen production on chemically etched strontium titanate surfaces

Oral B., Saadetnejad D., YILDIRIM R.
Reaction Kinetics, Mechanisms and Catalysis , cilt.131, sa.2, ss.953-963, 2020 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

45. Assessment of Reproducibility, Hysteresis, and Stability Relations in Perovskite Solar Cells Using Machine Learning

Odabaşı Ç., YILDIRIM R.
Energy Technology , cilt.8, sa.12, 2020 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

46. Assessment of critical materials and cell design factors for high performance lithium-sulfur batteries using machine learning

Kilic A., Odabaşı Ç., YILDIRIM R., EROĞLU PALA D.
Chemical Engineering Journal , cilt.390, 2020 (SCI-Expanded, Scopus)

47. Determining most effective structural form of nickel-cobalt catalysts for dry reforming of methane

Leba A., YILDIRIM R.
International Journal of Hydrogen Energy , cilt.45, sa.7, ss.4268-4283, 2020 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

48. Machine learning analysis on stability of perovskite solar cells

Odabaşı Ç., YILDIRIM R.
Solar Energy Materials and Solar Cells , cilt.205, 2020 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

49. Consensus statement for stability assessment and reporting for perovskite photovoltaics based on ISOS procedures

Khenkin M. V., Katz E. A., Abate A., Bardizza G., Berry J. J., Brabec C., et al.
Nature Energy , cilt.5, sa.1, ss.35-49, 2020 (SCI-Expanded, Scopus) Creative Commons License Sürdürülebilir Kalkınma

50. Selection rules for estimating the solubility of C 4 -hydrocarbons in imidazolium ionic liquids determined by machine-learning tools

Jalal A., Can Özcan E., Keskin S., YILDIRIM R., Uzun A.
Journal of Molecular Liquids , cilt.284, ss.511-521, 2019 (SCI-Expanded, Scopus)

51. CO2 capture over amine-functionalized MCM-41 and SBA-15: Exploratory analysis and decision tree classification of past data

Yildiz M. G., Davran-Candan T., Günay M. E., YILDIRIM R.
Journal of CO2 Utilization , cilt.31, ss.27-42, 2019 (SCI-Expanded, Scopus)

52. Data mining in photocatalytic water splitting over perovskites literature for higher hydrogen production

Can Özcan E., YILDIRIM R.
Applied Catalysis B: Environmental , cilt.242, ss.267-283, 2019 (SCI-Expanded, Scopus)

53. Performance analysis of perovskite solar cells in 2013–2018 using machine-learning tools

Odabaşı Özer Ç., YILDIRIM R.
Nano Energy , cilt.56, ss.770-791, 2019 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

54. Photocatalytic hydrogen production by water splitting over Au/Al-SrTiO3

Saadetnejad D., YILDIRIM R.
International Journal of Hydrogen Energy , cilt.43, sa.2, ss.1116-1122, 2018 (SCI-Expanded, Scopus)

55. Statistical review of dry reforming of methane literature using decision tree and artificial neural network analysis

Şener A. N., Günay M. E., Leba A., YILDIRIM R.
Catalysis Today , cilt.299, ss.289-302, 2018 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

56. Oxidative coupling of methane over Mn-Na2WO4 catalyst supported by monolithic SiO2

Uzunoglu C., Leba A., YILDIRIM R.
Applied Catalysis A: General , cilt.547, ss.22-29, 2017 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

57. Decision tree analysis of past publications on catalytic steam reforming to develop heuristics for high performance: A statistical review

Baysal M., Günay M. E., YILDIRIM R.
International Journal of Hydrogen Energy , cilt.42, sa.1, ss.243-254, 2017 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

58. Analysis of past experimental data in literature to determine conditions for high performance in biodiesel production

Alper Tapan N., YILDIRIM R., Günay M.
Biofuels, Bioproducts and Biorefining , cilt.10, sa.4, ss.422-434, 2016 (SCI-Expanded, Scopus)

59. Water gas shift activity of Au-Re catalyst over microstructured cordierite monolith wash-coated by ceria

Özyönüm G. N., YILDIRIM R.
International Journal of Hydrogen Energy , cilt.41, sa.12, ss.5513-5521, 2016 (SCI-Expanded, Scopus)

60. Constructing global models from past publications to improve design and operating conditions for direct alcohol fuel cells

TAPAN N. A., Günay M. E., YILDIRIM R.
Chemical Engineering Research and Design , cilt.105, ss.162-170, 2016 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

61. Knowledge extraction for water gas shift reaction over noble metal catalysts from publications in the literature between 2002 and 2012

Odabaşi Ç., Günay M. E., YILDIRIM R.
International Journal of Hydrogen Energy , cilt.39, sa.11, ss.5733-5746, 2014 (SCI-Expanded, Scopus)

62. Developing global reaction rate model for CO oxidation over Au catalysts from past data in literature using artificial neural networks

Günay M. E., YILDIRIM R.
Applied Catalysis A: General , cilt.468, ss.395-402, 2013 (SCI-Expanded, Scopus)

63. Knowledge Extraction from Catalysis of the Past: A Case of Selective CO Oxidation over Noble Metal Catalysts between 2000 and 2012

Günay M. E., YILDIRIM R.
ChemCatChem , cilt.5, sa.6, ss.1395-1406, 2013 (SCI-Expanded, Scopus)

64. Modeling preferential CO oxidation over promoted Au/Al2O3 catalysts using decision trees and modular neural networks

Günay M. E., YILDIRIM R.
Chemical Engineering Research and Design , cilt.91, sa.5, ss.874-882, 2013 (SCI-Expanded, Scopus)

65. DRIFTS study of selective CO oxidation over Au/γAl2O 3 catalyst

Leba A., Davran-Candan T., ÖNSAN Z. İ., YILDIRIM R.
Catalysis Communications , cilt.29, ss.6-10, 2012 (SCI-Expanded, Scopus)

66. Analysis of O 2 Adsorption Stability and Strength Over Gold Clusters Using DFT and Logistic Regression

Günay M. E., Davran-Candan T., YILDIRIM R.
Journal of Cluster Science , cilt.23, sa.2, ss.221-235, 2012 (SCI-Expanded, Scopus)

67. Investigation of water gas-shift activity of Pt-MOx-CeO 2/Al2O3 (M = K, Ni, Co) using modular artificial neural networks

Günay M. E., Akpinar F., ÖNSAN Z. İ., YILDIRIM R.
International Journal of Hydrogen Energy , cilt.37, sa.3, ss.2094-2102, 2012 (SCI-Expanded, Scopus)

68. Selective CO oxidation over monolithic Au-MgO/Al 2O 3 catalysts

Özdemir S., ÖNSAN Z. İ., YILDIRIM R.
Journal of Chemical Technology and Biotechnology , cilt.87, sa.1, ss.58-64, 2012 (SCI-Expanded, Scopus)

69. Analysis of reaction mechanisms and kinetics of preferential CO oxidation over Au/γ-Al2O3

Davran-Candan T., Demir M., YILDIRIM R.
Reaction Kinetics, Mechanisms and Catalysis , cilt.104, sa.2, ss.389-398, 2011 (SCI-Expanded, Scopus)

70. Neural network analysis of selective CO oxidation over copper-based catalysts for knowledge extraction from published data in the literature

Günay M. E., YILDIRIM R.
Industrial and Engineering Chemistry Research , cilt.50, sa.22, ss.12488-12500, 2011 (SCI-Expanded, Scopus)

71. Selective CO oxidation over promoted Au/γ-Al2O3 catalysts in the presence of CO2 and H2O in the feed

Davran-Candan T., Tezcanli S. T., YILDIRIM R.
Catalysis Communications , cilt.12, sa.12, ss.1149-1152, 2011 (SCI-Expanded, Scopus)

72. Structure and activity relationship for CO and O2 adsorption over gold nanoparticles using density functional theory and artificial neural networks

Davran-Candan T., Günay M. E., YILDIRIM R.
Journal of Chemical Physics , cilt.132, sa.17, 2010 (SCI-Expanded, Scopus)

73. Analysis of selective CO oxidation over promoted Pt/Al2O3 catalysts using modular neural networks: Combining preparation and operational variables

Günay M. E., YILDIRIM R.
Applied Catalysis A: General , cilt.377, sa.1-2, ss.174-180, 2010 (SCI-Expanded, Scopus)

74. Low temperature water-gas shift reaction on Au-CeO2/Al 2O3 catalysts

Gunes H., YILDIRIM R.
International Journal of Chemical Reactor Engineering , cilt.8, 2010 (SCI-Expanded, Scopus)

75. Comparative study of selective CO oxidation over Pt-Co-M/Al2O3 catalysts (M=Ce, Mg, Mn, Zr, Fe) in hydrogen-rich streams: Effects of a second promoter

Uǧuz K. E., YILDIRIM R.
Turkish Journal of Chemistry , cilt.33, sa.4, ss.545-553, 2009 (SCI-Expanded, Scopus, TRDizin)

76. Reaction pathway analysis for CO oxidation over anionic gold hexamers using DFT

Davran-Candan T., AKSOYLU A. E., YILDIRIM R.
Journal of Molecular Catalysis A: Chemical , cilt.306, sa.1-2, ss.118-122, 2009 (SCI-Expanded, Scopus)

77. Simultaneous modeling of enzyme production and biomass growth in recombinant Escherichia coli using artificial neural networks

Günay M. E., Nikerel I. E., TOKSOY ÖNER E., Kirdar B., YILDIRIM R.
Biochemical Engineering Journal , cilt.42, sa.3, ss.329-335, 2008 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

78. Neural network aided design of Pt-Co-Ce/Al2O3 catalyst for selective CO oxidation in hydrogen-rich streams

Günay M. E., YILDIRIM R.
Chemical Engineering Journal , cilt.140, sa.1-3, ss.324-331, 2008 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

79. Development of an active platine-based catalyst for the reaction of H2 production from NaBH4

Ersoz Y., YILDIRIM R., AKIN A. N.
Chemical Engineering Journal , cilt.134, sa.1-3, ss.282-287, 2007 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

80. Kinetic study of selective CO oxidation over Pt-Co-Ce/Al2O 3 catalyst in hydrogen-rich streams

Özyönüm G. N., AKIN A. N., YILDIRIM R.
Turkish Journal of Chemistry , cilt.31, sa.5, ss.445-453, 2007 (SCI-Expanded, Scopus, TRDizin)

81. Preferential CO oxidation over Pt-SnO2/Al2O 3 in hydrogen rich streams containing CO2 and H 2O (CO removal from H2 with PROX)

Uysal G., AKIN A. N., ÖNSAN Z. İ., YILDIRIM R.
Catalysis Letters , cilt.111, sa.3-4, ss.173-176, 2006 (SCI-Expanded, Scopus)

82. Optimization of medium composition for biomass production of recombinant Escherichia coli cells using response surface methodology

Nikerel I. E., TOKSOY ÖNER E., Kirdar B., YILDIRIM R.
Biochemical Engineering Journal , cilt.32, sa.1, ss.1-6, 2006 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

83. Hydrogen clean-up by preferential CO oxidation over Pt-Co-Ce/MgO

Uysal G., AKIN A. N., ÖNSAN Z. İ., YILDIRIM R.
Catalysis Letters , cilt.108, sa.3-4, ss.193-196, 2006 (SCI-Expanded, Scopus)

84. Selective low-temperature CO oxidation over Pt-Co-Ce/Al2O 3 in hydrogen-rich streams

Ince T., Uysal G., AKIN A. N., YILDIRIM R.
Applied Catalysis A: General , cilt.292, sa.1-2, ss.171-176, 2005 (Scopus)

85. Optimizing medium composition for TaqI endonuclease production by recombinant Escherichia coli cells using response surface methodology

Nikerel I. E., TOKSOY ÖNER E., Kirdar B., YILDIRIM R.
Process Biochemistry , cilt.40, sa.5, ss.1633-1639, 2005 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

86. Low temperature CO oxidation in hydrogen rich streams on Pt-SnO 2/Al2O3 catalyst using Taguchi method

Özdemir C., AKIN A. N., YILDIRIM R.
Applied Catalysis A: General , cilt.258, sa.2, ss.145-152, 2004 (Scopus)

87. Maximization of total surface area of Pt-SnO2/Al2O3 catalyst by the Taguchi method

Özdemir C., AKIN A. N., YILDIRIM R.
Korean Journal of Chemical Engineering , cilt.20, sa.5, ss.840-843, 2003 (SCI-Expanded, Scopus)

88. Adsorption parameters of some C5-C8 paraffinic hydrocarbons on platinum-alumina by gas Chromatographic pulse techniques

Gönenç Z., YILDIRIM R., Beler-Baykal A., ÖNSAN Z. İ.
Applied Catalysis A, General , cilt.103, sa.1, ss.35-42, 1993 (Scopus)
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 29

1. Machine Learning for Sustainable Energy Materials and Technologies

YILDIRIM R.
9th International Symposium on Materials for Energy Storage and Conversion, Türkiye, 01 Eylül 2025, (Özet Bildiri)

2. Machine learning analysis of halide perovskite for photocatalytic CO2 reduction and water splitting

YILMAZ B., YILDIRIM R.
13th International Conference on Environmental Catalysis, Palermo, İtalya, 02 Haziran 2025, (Tam Metin Bildiri)

3. TRANSFER LEARNING FROM STEAM AND DRY REFORMING OF METHANE TO TRI-REFORMING OF BIOGAS FOR SYNGAS PRODUCTION

COŞGUN A., GÜNAY M. E., YILDIRIM R.
9th International Hydrogen Technologies Congress (IHTEC-2025), İzmir, Türkiye, 25 Mayıs 2025, (Tam Metin Bildiri)

4. MACHINE LEARNING ANALYSIS OF PHOTOCATALYTIC HYDROGEN PRODUCTION OVER HALIDE PEROVSKITES

YILMAZ B., YILDIRIM R.
9th International Hydrogen Technologies Congress (IHTEC-2025), İzmir, Türkiye, 25 Mayıs 2025, (Tam Metin Bildiri)

5. ANALYSIS OF PHOTOCATALYTIC HYDROGEN PRODUCTION FROM GLYCEROL USING MACHINE LEARNING

Demir Karakoyun R., ORAL B., YILDIRIM R.
12th Global Conference on Global Warming, Şanlıurfa, Türkiye, 16 Mayıs 2024, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

6. Machine Learning Analysis of Biogas Tri-reforming for Syngas Production

COŞGUN A., GÜNAY M. E., YILDIRIM R.
8th International Hydrogen Technologies Congress, Diyarbakır, Türkiye, 12 Mayıs 2024, (Tam Metin Bildiri)

7. IONIC-LIQUID ASSISTED CHARGE TRANSFER IN PHOTOCATALYTIC HYDROGEN PRODUCTION OVER DYE-SENSITIZED TiO2 MATERIALS

URALCAN B., YILDIRIM R., Can E.
12th Belgian Organic Synthesis Symposium, 03 Temmuz 2022, (Özet Bildiri)

8. PHOTOCATALYTIC GLYCEROL REFORMING ON GOLD - COPPER NANO METALLIC TiO2

YILDIRIM R., Özdemir P.
23rd World Hydrogen Energy Conference: Bridging Continents by H2, WHEC 2022, İstanbul, Türkiye, 26 - 30 Haziran 2022, ss.31-33, (Tam Metin Bildiri)

9. Analysis of reproducibility, hysteresis and long-term stability of perovskite solar using machine learning

ODABAŞI Ç., YILDIRIM R.
12th International Summit on Organic and Hybrid Photovoltaics Stability, Karlsruhe, Almanya, 07 Ekim 2019, (Özet Bildiri)

10. “Analysis of photocatalytic water splitting over perovskites literature using data mining tool

CAN E., YILDIRIM R.
Europacat-2019, Aachen, Almanya, 18 Ağustos 2019, (Özet Bildiri)

11. • Oral, B., Saadetnejad D., Y,ildirim R., “Photocatalytic hydrogen production on chemically etched strontium titanate surfaces”, , 18-23 Ağustos, 2019 Aachen, Almanya, 2019

ORAL B., SAADETNEJAD D., YILDIRIM R.
Europacat-2019, Aachen, Almanya, 18 Ağustos 2019, (Özet Bildiri) Sürdürülebilir Kalkınma

12. Datamining for catalytic and photocatalytic energy production processes from historicaldata in literature

YILDIRIM R.
EUROPACAT 2017, 27 - 31 Ağustos 2017, (Özet Bildiri)

13. HYDROGEN PRODUCTION over 𝑨𝒖/𝑺𝒓𝑻𝒊𝑶_𝟑 via PHOTOCATALYTIC WATER SPLITTING

SAADETNEJAD D., YILDIRIM R.
EUROPACAT 2017, 27 Ağustos 2016 - 31 Ağustos 2017, (Özet Bildiri)

14. Neural network analyses of literature on dry reforming of methane over Ni catalysts

ŞENER A. N., GÜNAY M. E., YILDIRIM R.
EUROPACAT 2017, 27 - 31 Ağustos 2017, (Özet Bildiri)

15. Data mining for CO2 capture from fl ue gas streams over aminefunctionalizedmesoporous silica

YILDIZ M. G., DAVRAN CANDAN T., GÜNAY M. E., YILDIRIM R.
EUROPACAT 2017, 27 - 31 Ağustos 2017, (Özet Bildiri)

16. Knowledge extraction for steam reforming of methane: a statistical review of pastpublications by decision trees

BAYSAL M., GÜNAY M. E., YILDIRIM R.
EUROPACAT-2017, 27 - 31 Ağustos 2017, (Özet Bildiri)

17. MODELING AND PREDICTION OF BAND GAP FOR PEROVSKITE-TYPE MATERIALS BY MACHINE LEARNING TECHNIQUES

CAN E., YILDIRIM R.
EUROPACAt 2017, 27 - 31 Ağustos 2017, (Özet Bildiri)

18. PHOTOCATALYTIC WATER SPLITTING OVER Au SrTiO3 WITH DIFFERENT METAL DOPANTS

SAADETNEJAD D., YILDIRIM R.
INTERNATIONAL CONFERENCE ON ENERGY SYSTEMS, 21 - 23 Aralık 2016, (Özet Bildiri) Sürdürülebilir Kalkınma

19. MÜHENDİSLİK EĞİTİMİ VE AKREDİTASYON

YILDIRIM R.
12. Ulusal Kimya Kimya Mühendsiliği Kongresi, Türkiye, 24 - 26 Ağustos 2016, (Özet Bildiri)

20. Knowledge extraction for dry reforming of methane from past publications using data mining tools

ŞENER A. N., GÜNAY M. E., YILDIRIM R.
11th Natural Gas Conversion Symposium, Tromso, Norveç, 6 - 09 Haziran 2016, (Özet Bildiri)

21. PHOTOCATALYTIC WATER SPLITTING OVER Au SrTiO3 CATALYST

SAADETNEJAD D., YILDIRIM R.
The 6th Catalysis Conference, Bursa, Türkiye, 27 - 30 Nisan 2016, (Özet Bildiri) Sürdürülebilir Kalkınma

22. MODELING OF DATABASE CONSTRUCTED FROM PUBLISHED ARTICLES FOR WATER SPLITTING OVER PEROVSKITES

CAN E., YILDIRIM R.
The 6th Catalysis Conference, Bursa, Türkiye, 27 - 30 Nisan 2016, (Özet Bildiri) Sürdürülebilir Kalkınma

23. Performance test of monolithic Ni based catalysts for carbon dioxide reforming of methane

LEBA A., YILDIRIM R.
The 6th Catalysis Conference, Bursa, Türkiye, 27 - 30 Nisan 2016, (Özet Bildiri)

24. SEM and EDX Characterization of Mn Na2WO4 SiO2 Catalyst for Oxidative Coupling of Methane

LEBA A., YEŞİM D., AVCI A. K., YILDIRIM R.
European Congress on Catalysis, Kazan, Rusya, 30 Ağustos - 04 Eylül 2015

25. Knowledge Extraction for Oxidative Coupling of Methane from Publications in the Literature

ODABAŞI Ç., YILDIRIM R.
European Congress on Catalysis, Kazan, Rusya, 30 Ağustos - 04 Eylül 2015

26. From data to knowledge Analysis of published articles in literature for photo catalytic water splitting

CAN E., YILDIRIM R., BÖLÜKBAŞ B., ÇORUM O.
European Congress on Catalysis, Kazan, Rusya, 30 Ağustos - 04 Eylül 2015

27. Modeling selective CO oxidation over Pt based catalysts using modular neural network

Gunay M., YILDIRIM R.
240th ACS National Meeting and Exposition, Boston, MA, Amerika Birleşik Devletleri, 22 - 26 Ağustos 2010, (Tam Metin Bildiri)

28. Performance of Au-Mg/Al2O3 catalyst for the selective CO oxidation in hydrogen rich stream

Tezcanli S. T., YILDIRIM R.
2008 AIChE Annual Meeting, AIChE 100, Philadelphia, PA, Amerika Birleşik Devletleri, 16 - 21 Kasım 2008, (Tam Metin Bildiri)

29. Kinetics of selective CO oxidation in hydrogen-rich streams over Pt-Co-Ce/Al2O3 catalyst

Ozyonum G. N., Nilgun Akin A., YILDIRIM R.
2006 AIChE Annual Meeting, San Francisco, CA, Amerika Birleşik Devletleri, 12 - 17 Kasım 2006, (Tam Metin Bildiri)
Metrikler

Yayın

117

Yayın (Scopus)

92

Atıf (Scopus)

4382

H-İndeks (Scopus)

33

Proje

2

Tez Danışmanlığı

53

Açık Erişim

48
BM Sürdürülebilir Kalkınma Amaçları
SDG 2: AMAÇ 2: AÇLIĞA SON
SDG 3: AMAÇ 3: SAĞLIKLI BİREYLER
SDG 6: AMAÇ 6: TEMİZ SU VE SIHHİ KOŞULLAR
SDG 7: AMAÇ 7: ERİŞİLEBİLİR VE TEMİZ ENERJİ
SDG 8: AMAÇ 8: İNSANA YAKIŞIR İŞ VE EKONOMİK BÜYÜME
SDG 12: AMAÇ 12: SORUMLU ÜRETİM VE TÜKETİM
SDG 13: AMAÇ 13: İKLİM EYLEMİ
SDG 15: AMAÇ 15: KARASAL YAŞAM
SDG 16: AMAÇ 16: BARIŞ VE ADALET
SDG 17: AMAÇ 17: AMAÇLAR İÇİN ORTAKLIKLAR