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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Optimizing hydrogen evolution prediction: A unified approach using random forests, lightGBM, and Bagging Regressor ensemble model
Rezan Bakır, Ceren Orak, Aslı Yüksel
International Journal of Hydrogen Energy (2024) Vol. 67, pp. 101-110
Closed Access | Times Cited: 24

Showing 24 citing articles:

A novel interpretable machine learning and metaheuristic-based protocol to predict and optimize ciprofloxacin antibiotic adsorption with nano-adsorbent
Yunus Ahmed, Akser Alam Siddiqua Maya, Parul Akhtar, et al.
Journal of Environmental Management (2024) Vol. 370, pp. 122614-122614
Closed Access | Times Cited: 12
Optimizing Photocatalytic Dye Degradation: A Machine Learning and Metaheuristic Approach for Predicting Methylene Blue in Contaminated Water
Yunus Ahmed, Krishna Dutta, Sharmin Nahar Chowdhury Nepu, et al.
Results in Engineering (2024), pp. 103538-103538
Open Access | Times Cited: 11
Optimizing personal comfort: Short-term personalized heating impact on sanitation workers' thermo-physiological responses
Chujian Gu, Yang Li, Shi Chen, et al.
Building and Environment (2024), pp. 112112-112112
Closed Access | Times Cited: 8
ENHANCED INTRUSION DETECTION MODEL BASED ON PRINCIPAL COMPONENT ANALYSIS AND VARIABLE ENSEMBLE MACHINE LEARNING ALGORITHM
Ayuba John, Ismail Fauzi Isnin, Syed Hamid Hussain Madni, et al.
Intelligent Systems with Applications (2024), pp. 200442-200442
Open Access | Times Cited: 4
Replace Platinum for Hydrogen Evolution Reaction in the Cathode of Proton Exchange Membrane Water Electrolyzers
Ushtar Arshad, Jiayi Tang, Zongping Shao
SusMat (2025)
Open Access
Predictive Modeling of Photocatalytic Hydrogen Production: Integrating Experimental Insights with Machine Learning on Fe/g-C3N4 Catalysts
Bahriyenur Arabacı, Razan Ghanem, Ceren Orak, et al.
Industrial & Engineering Chemistry Research (2025)
Open Access
Unlocking prediction and optimal design of CO2 methanation catalysts via active learning-enhanced interpretable ensemble learning
Qingchun Yang, Runjie Bao, Zhao Wang, et al.
Chemical Engineering Journal (2025), pp. 161154-161154
Closed Access
A high-precision and interpretable prediction method of the gas–solid erosion rate in elbows based on hybrid mechanism-data-driven models
Xiao Cen, Bingyuan Hong, Yuxiang Yang, et al.
Measurement (2025), pp. 117251-117251
Closed Access
Practical Design of Stepped Spillways Using Machine Learning Methods and Fuzzy Inference System
Sadık Alashan, Sedat Golgiyaz, Erdinç İkincioğulları, et al.
Harran Üniversitesi Mühendislik Dergisi (2025) Vol. 10, Iss. 1, pp. 36-50
Closed Access
Multi Expression Programming and interpretable machine learning for determining compressive strength of coral sand aggregate concrete
Kamran Ehsan, Azman Mohamed, Waleed Bin Inqiad, et al.
Materials Today Communications (2025), pp. 112370-112370
Closed Access
AI-driven surrogate modelling for simulating hydrogen production via proton exchange membrane water electrolysers
Mohammad Abdul Baseer, Harjeet Singh, Prashant Kumar, et al.
International Journal of Hydrogen Energy (2025) Vol. 127, pp. 462-483
Closed Access
Synergistic Artificial Intelligence framework for robust multivariate medium-term wind power prediction with uncertainty envelopes
Bo Wu, Xiuli Wang, Bangyan Wang, et al.
Energy and AI (2025), pp. 100513-100513
Open Access
Integrating machine learning and change detection for enhanced crop disease forecasting in rice farming: A multi-regional study
Gang Zhao, Quanying Zhao, Heidi Webber, et al.
European Journal of Agronomy (2024) Vol. 160, pp. 127317-127317
Closed Access | Times Cited: 3
Stacked machine learning approach for predicting evolved hydrogen from sugar industry wastewater
Rezan Bakır, Ceren Orak
International Journal of Hydrogen Energy (2024) Vol. 85, pp. 75-87
Closed Access | Times Cited: 2
Technology-Driven Financial Risk Management: Exploring the Benefits of Machine Learning for Non-Profit Organizations
Hao Huang
Systems (2024) Vol. 12, Iss. 10, pp. 416-416
Open Access | Times Cited: 2
Integrating Experimental and Machine Learning Approaches for Predictive Analysis of Photocatalytic Hydrogen Evolution Using Cu/g-C3N4
Bahriyenur Arabacı, Razan Ghanem, Ceren Orak, et al.
Renewable Energy (2024), pp. 121737-121737
Closed Access | Times Cited: 2
Machine learning and genetic algorithm prediction of high quantum yield carbon quantum dots for chemical analysis
Reham E. Kannouma, Ahmed M. Gab Allah, Amira H. Kamal, et al.
Microchemical Journal (2024), pp. 112499-112499
Closed Access | Times Cited: 2
Prediction of thermo-hydraulic properties of flow in an innovative plate heat exchanger using machine learning algorithms
Ahmad Aboul Khail, Rezan Bakır, Halit Bakır
Physica Scripta (2024) Vol. 99, Iss. 10, pp. 106004-106004
Closed Access | Times Cited: 1
Green synthesis of ZnO and Ni-doped ZnO from okra stalks for the photocatalytic degradation of Procion Red MX-5B
Sabit Horoz, Ceren Orak, Emre Biçer
International Journal of Phytoremediation (2024), pp. 1-9
Closed Access | Times Cited: 1
Combining LiDAR, SAR, and DEM Data for Estimating Understory Terrain Using Machine Learning-Based Methods
Jiapeng Huang, Yue Zhang, Jie Ding
Forests (2024) Vol. 15, Iss. 11, pp. 1992-1992
Open Access | Times Cited: 1
Interpretable machine learning-based analysis of coal fly ash flotation by conditioning process intensification
Lu Yang, Ling Zhang, Haochun Hou, et al.
International Journal of Coal Preparation and Utilization (2024), pp. 1-20
Closed Access
Strategic management of employee churn: Leveraging machine learning for sustainable development and competitive advantage in emerging markets
Poorva Agrawal, Seema Ghangale, Bablu Kumar Dhar, et al.
Business Strategy & Development (2024) Vol. 7, Iss. 4
Closed Access
Machine Learning and Response Surface Methodology Forecasting Comparison for Improved Spray Dry Scrubber Performance with Brine Sludge-Derived Sorbent
B.J. Chepkonga, Lawrence Koech, Robert Makomere, et al.
Digital Chemical Engineering (2024), pp. 100214-100214
Open Access
Machine learning prediction method for assessing water quality impacts on sandstone reservoir permeability and its application in energy development
Xiankun Song, Yuetian Liu, Zhenyu Song, et al.
International Journal of Hydrogen Energy (2024) Vol. 100, pp. 1046-1062
Closed Access
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