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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:

Performance prediction of experimental PEM electrolyzer using machine learning algorithms
Safiye Nur Özdemir, Oğuzhan Pektezel
Fuel (2024) Vol. 378, pp. 132853-132853
Closed Access | Times Cited: 12

Showing 12 citing articles:

A review of machine learning applications in hydrogen electrochemical devices
Nikola Franić, Ivan Pivac, Frano Barbir
International Journal of Hydrogen Energy (2025) Vol. 102, pp. 523-544
Open Access | Times Cited: 2
Data-Driven Modelling of Corrosion Behaviour in Coated Porous Transport Layers for PEM Water Electrolyzers
Pramoth Varsan Madhavan, Leila Moradizadeh, Samaneh Shahgaldi, et al.
Artificial Intelligence Chemistry (2025), pp. 100086-100086
Open Access | Times Cited: 2
Optimization of user-side electrolytic hydrogen production system considering electrolyzer efficiency degradation
Tingfeng Kuang, Jie Chen, Jun Liu, et al.
International Journal of Hydrogen Energy (2024) Vol. 88, pp. 545-556
Closed Access | Times Cited: 4
Machine Learning Prediction of Photovoltaic Hydrogen Production Capacity Using Long Short-Term Memory Model
Qian He, Mingbin Zhao, Shujie Li, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 543-543
Open Access
Dynamic performance prediction of PEM electrolyzers combining an electrochemical neural network model and a lumped thermal capacitance model
Kui Luo, Peng Li, Yu Yan, et al.
International Journal of Green Energy (2025), pp. 1-18
Closed Access
Optimizing PEM electrolyzer clamping pressure: A balance of contact resistance, mass transfer, and sealing performance
Zilong Liu, Peng Li, Siyuan Huang, et al.
International Journal of Green Energy (2025), pp. 1-13
Closed Access
Predicting process and regeneration air conditions in LT3 molecular sieve desiccant wheels using machine learning and regression methods
Alperen Burak Gürük, Yunus Emre Güzelel, Umutcan Olmuş, et al.
International Communications in Heat and Mass Transfer (2025) Vol. 164, pp. 108811-108811
Closed Access
Automated System for Automatic Data Acquisition for Pem Electrolyser
P Vishwapranav, N Gowthaman, P. Ganesan, et al.
Research Square (Research Square) (2025)
Closed Access
Innovations in seawater electrolysis: From fundamental challenges to practical applications
Monther Q. Alkoshab, Naznin Shaikh, Mohammad Qamar, et al.
International Journal of Hydrogen Energy (2025) Vol. 122, pp. 289-331
Closed Access
Machine learning-driven prediction and optimization of selective glycerol electrocatalytic reduction into propanediols
M.M. Harussani, Cries Avian, Shuo Cheng, et al.
Journal of Electroanalytical Chemistry (2025), pp. 119150-119150
Closed Access
Exploring the state-of-operation of proton exchange membrane electrolyzers
Ali Javed, N. Nijs-De Wolf, Fabian Meyer, et al.
International Journal of Hydrogen Energy (2024) Vol. 98, pp. 280-294
Open Access | Times Cited: 2
Hyperelastic and Stacked Ensemble-Driven Predictive Modeling of PEMFC Gaskets Under Thermal and Chemical Aging
S. S. Park, Akeem Bayo Kareem, Toyyeebah Ajibola Mustapha, et al.
Materials (2024) Vol. 17, Iss. 22, pp. 5675-5675
Open Access
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