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:

Comparison of decision tree based ensemble methods for prediction of photovoltaic maximum current
Zahi M. Omer, Hussain Shareef
Energy Conversion and Management X (2022) Vol. 16, pp. 100333-100333
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A path to sustainable development goals: A case study on the thirteen largest photovoltaic power plants
Maryam Nooman AlMallahi, Yaser Al Swailmeen, Mohammad Ali Abdelkareem, et al.
Energy Conversion and Management X (2024) Vol. 22, pp. 100553-100553
Open Access | Times Cited: 19

Improving Solar PV Prediction Performance with RF-CatBoost Ensemble: A Robust and Complementary Approach
Rita Banik, Ankur Biswas
Renewable energy focus (2023) Vol. 46, pp. 207-221
Closed Access | Times Cited: 24

Machine Learning-Based Molecular Dynamics Studies on Predicting Thermophysical Properties of Ethanol–Octane Blends
Amirali Shateri, Zhiyin Yang, Jianfei Xie
Energy & Fuels (2025)
Closed Access | Times Cited: 1

Exploring Cement Production's Role in GDP Using Explainable AI and Sustainability Analysis in Nepal
Ramhari Poudyal, Biplov Paneru, Bishwash Paneru, et al.
Case Studies in Chemical and Environmental Engineering (2025) Vol. 11, pp. 101128-101128
Open Access | Times Cited: 1

Forecasting Univariate Solar Irradiance using Machine learning models: A case study of two Andean Cities
Daniel Díaz-Bedoya, Mario González, Jean-Michel Clairand, et al.
Energy Conversion and Management (2023) Vol. 296, pp. 117618-117618
Closed Access | Times Cited: 17

An explainable ensemble machine learning model to elucidate the influential drilling parameters based on rate of penetration prediction
Zhipeng Feng, Hamdan Gani, Annisa Dwi Damayanti, et al.
Geoenergy Science and Engineering (2023) Vol. 231, pp. 212231-212231
Closed Access | Times Cited: 16

Ensemble learning for predicting average thermal extraction load of a hydrothermal geothermal field: A case study in Guanzhong Basin, China
Ruyang Yu, Kai Zhang, R. Brindha, et al.
Energy (2024) Vol. 296, pp. 131146-131146
Closed Access | Times Cited: 5

Big data analytics for photovoltaic and electric vehicle management in sustainable grid integration
Apoorva Choumal, M. Rizwan, Shatakshi Jha
Journal of Renewable and Sustainable Energy (2025) Vol. 17, Iss. 1
Closed Access

Explainable AI based LightGBM prediction model to predict default borrower in Social Lending platform
Li-Hua Li, Alok Kumar Sharma, Sheng-Tzong Cheng
Intelligent Systems with Applications (2025), pp. 200514-200514
Open Access

Enhancing Defect Detection in Steel Plate Manufacturing with Explainable Machine Learning and SMOTE for Imbalanced Data
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun
Journal of Materials Engineering and Performance (2025)
Closed Access

Machine Learning for Modeling and Defect Detection of Friction Stir Welds: A Review
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun, et al.
Journal of Failure Analysis and Prevention (2025)
Closed Access

Incorporating artificial intelligence-powered prediction models for exergy efficiency evaluation in parabolic trough collectors
Omer A. Alawi, Haslinda Mohamed Kamar, Raad Z. Homod, et al.
Renewable Energy (2024) Vol. 225, pp. 120348-120348
Closed Access | Times Cited: 3

Predicting water saturation and oxygen transport resistance in proton exchange membrane fuel cell by artificial intelligence
Mehrdad Ghasabehi, Mehrzad Shams
Fuel (2024) Vol. 368, pp. 131557-131557
Closed Access | Times Cited: 3

Explainable machine learning for enhancing predictive accuracy of cutting forces in hard turning processes
Abdelhakim Dorbane, Fouzi Harrou, Ying Sun, et al.
The International Journal of Advanced Manufacturing Technology (2024)
Closed Access | Times Cited: 3

Urban Traffic Congestion Prediction: A Multi-Step Approach Utilizing Sensor Data and Weather Information
Nikolaos Tsalikidis, Aristeidis Mystakidis, Paraskevas Koukaras, et al.
Smart Cities (2024) Vol. 7, Iss. 1, pp. 233-253
Open Access | Times Cited: 2

On Detecting Cryptojacking on Websites: Revisiting the Use of Classifiers
Fredy Andrés Aponte-Novoa, Daniel Povedano Álvarez, Ricardo Villanueva-Polanco, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9219-9219
Open Access | Times Cited: 11

Unraveling the Effect of Compositional Ratios on the Kesterite Thin-Film Solar Cells Using Machine Learning Techniques
Vijay Karade, Santosh S. Sutar, Jun Hwan Jang, et al.
Crystals (2023) Vol. 13, Iss. 11, pp. 1581-1581
Open Access | Times Cited: 4

Enhancing photovoltaic system performance using advanced gradient boosting methods
Fouzi Harrou, Abdelhakim Dorbane, Ying Sun
(2024), pp. 1-6
Closed Access | Times Cited: 1

Advancing Solar Power Forecasting: Integrating Boosting Cascade Forest and Multi-Class-Grained Scanning for Enhanced Precision
Mohamed Khalifa Boutahir, Yousef Farhaoui, Mourade Azrour, et al.
Sustainability (2024) Vol. 16, Iss. 17, pp. 7462-7462
Open Access | Times Cited: 1

Enhancing Regional Wind Power Forecasting through Advanced Machine-Learning and Feature-Selection Techniques
Nabi Taheri, Mauro Tucci
Energies (2024) Vol. 17, Iss. 21, pp. 5431-5431
Open Access | Times Cited: 1

Prediction of crater tool wear using artificial intelligence models in 7075 Al alloy machining
Abd El Hedi Gabsi
International Journal on Interactive Design and Manufacturing (IJIDeM) (2023) Vol. 18, Iss. 10, pp. 7381-7390
Closed Access | Times Cited: 3

Proactive Auto-Scaling Approach of Production Applications Using an Ensemble Model
M.D. MOHAMED A. EL-HOSENY HATEM SAMIR, Khaled Wassif, Soha Makady
IEEE Access (2023) Vol. 11, pp. 25008-25019
Open Access | Times Cited: 2

Exploring Antiviral Drugs on Monolayer Black Phosphorene: Atomistic Theory and Explainable Machine Learning-Assisted Platform
S. Laref, Fouzi Harrou, Ying Sun, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 9, pp. 4897-4897
Open Access

Application of Machine Learning Models for Predicting Students' Performance in Mathematics: A K-Fold Approach
Felix Ale, Ikpaya D. Ikpaya, Ilesanmi Daniyan, et al.
(2024), pp. 1-9
Closed Access

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