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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:

Optimization of critical parameters of PEM fuel cell using TLBO-DE based on Elman neural network
Chengjun Guo, Juncheng Lu, Tian Zhong, et al.
Energy Conversion and Management (2019) Vol. 183, pp. 149-158
Closed Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

Artificial intelligence and numerical models in hybrid renewable energy systems with fuel cells: Advances and prospects
Amani Al–Othman, Muhammad Tawalbeh, Remston Martis, et al.
Energy Conversion and Management (2021) Vol. 253, pp. 115154-115154
Closed Access | Times Cited: 160
AI-based optimization of PEM fuel cell catalyst layers for maximum power density via data-driven surrogate modeling
Bowen Wang, Biao Xie, Jin Xuan, et al.
Energy Conversion and Management (2020) Vol. 205, pp. 112460-112460
Open Access | Times Cited: 159
Optimisation of solar/wind/bio-generator/diesel/battery based microgrids for rural areas: A PSO-GWO approach
Gourav Kumar Suman, Josep M. Guerrero, Om Prakash Roy
Sustainable Cities and Society (2021) Vol. 67, pp. 102723-102723
Closed Access | Times Cited: 159
Semi-empirical PEM fuel cells model using whale optimization algorithm
Attia A. El‐Fergany, Hany M. Hasanien, Ahmed M. Agwa
Energy Conversion and Management (2019) Vol. 201, pp. 112197-112197
Closed Access | Times Cited: 148
Model parameters estimation of the proton exchange membrane fuel cell by a Modified Golden Jackal Optimization
Mehrdad Rezaie, Keyvan Karamnejadi Azar, Armin kardan sani, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 53, pp. 102657-102657
Closed Access | Times Cited: 88
Modeling and temperature control of a water-cooled PEMFC system using intelligent algorithms
Junhong Chen, Pu He, Sai-Jie Cai, et al.
Applied Energy (2024) Vol. 372, pp. 123790-123790
Closed Access | Times Cited: 21
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: 1
Parameters extraction of PEMFC's model using manta rays foraging optimizer
Sameh I. Selem, Hany M. Hasanien, Attia A. El‐Fergany
International Journal of Energy Research (2020) Vol. 44, Iss. 6, pp. 4629-4640
Open Access | Times Cited: 122
A novel approach based on hybrid vortex search algorithm and differential evolution for identifying the optimal parameters of PEM fuel cell
Ahmed Fathy, Mohamed Abd Elaziz, Abdullah G. Alharbi
Renewable Energy (2019) Vol. 146, pp. 1833-1845
Closed Access | Times Cited: 121
Influencing sensitivities of critical operating parameters on PEMFC output performance and gas distribution quality under different electrical load conditions
Huicui Chen, Biao Liu, Tong Zhang, et al.
Applied Energy (2019) Vol. 255, pp. 113849-113849
Closed Access | Times Cited: 93
Artificial ecosystem optimizer for parameters identification of proton exchange membrane fuel cells model
Rizk M. Rizk‐Allah, Attia A. El‐Fergany
International Journal of Hydrogen Energy (2020) Vol. 46, Iss. 75, pp. 37612-37627
Closed Access | Times Cited: 79
Jellyfish search algorithm for extracting unknown parameters of PEM fuel cell models: Steady-state performance and analysis
Eid Gouda, Mohamed F. Kotb, Attia A. El‐Fergany
Energy (2021) Vol. 221, pp. 119836-119836
Closed Access | Times Cited: 75
Equilibrium optimizer for parameter extraction of a fuel cell dynamic model
Sameh I. Seleem, Hany M. Hasanien, Attia A. El‐Fergany
Renewable Energy (2021) Vol. 169, pp. 117-128
Closed Access | Times Cited: 62
Advances of machine learning in multi-energy district communities‒ mechanisms, applications and perspectives
Yuekuan Zhou
Energy and AI (2022) Vol. 10, pp. 100187-100187
Open Access | Times Cited: 62
A comprehensive and comparative review on parameter estimation methods for modelling proton exchange membrane fuel cell
Uliya Mitra, Anoop Arya, Sushma Gupta
Fuel (2022) Vol. 335, pp. 127080-127080
Closed Access | Times Cited: 62
Honey badger optimizer for extracting the ungiven parameters of PEMFC model: Steady-state assessment
Hossam Ashraf, Sameh O. Abdellatif, Mahmoud M. Elkholy, et al.
Energy Conversion and Management (2022) Vol. 258, pp. 115521-115521
Closed Access | Times Cited: 60
Efficient PEM fuel cells parameters identification using hybrid artificial bee colony differential evolution optimizer
Oussama Hachana, Attia A. El‐Fergany
Energy (2022) Vol. 250, pp. 123830-123830
Closed Access | Times Cited: 43
Fuel-cell parameter estimation based on improved gorilla troops technique
Abdullah M. Shaheen, Ragab A. El‐Sehiemy, Attia A. El‐Fergany, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 31
Model optimization of a high-power commercial PEMFC system via an improved grey wolf optimization method
Hongxu Zhou, Xiaohua Wu, Yang Li, et al.
Fuel (2023) Vol. 357, pp. 129589-129589
Closed Access | Times Cited: 27
Advances in teaching–learning-based optimization algorithm: A comprehensive survey(ICIC2022)
Guo Zhou, Yongquan Zhou, Wu Deng, et al.
Neurocomputing (2023) Vol. 561, pp. 126898-126898
Closed Access | Times Cited: 24
Precise parameter identification of a PEMFC model using a robust enhanced salp swarm algorithm
Salem Saidi, Sahbi Marrouchi, Bilal Naji Alhasnawi, et al.
International Journal of Hydrogen Energy (2024) Vol. 71, pp. 937-951
Closed Access | Times Cited: 12
Importance and applications of DOE/optimization methods in PEM fuel cells: A review
Gamze Karanfil
International Journal of Energy Research (2019) Vol. 44, Iss. 1, pp. 4-25
Open Access | Times Cited: 70
Performance prediction and power density maximization of a proton exchange membrane fuel cell based on deep belief network
LI Hong-we, Boshi Xu, Changhe Du, et al.
Journal of Power Sources (2020) Vol. 461, pp. 228154-228154
Closed Access | Times Cited: 60
An efficient heap-based optimization algorithm for parameters identification of proton exchange membrane fuel cells model: Analysis and case studies
Mohamed Abdel‐Basset, Reda Mohamed, Mohamed Elhoseny, et al.
International Journal of Hydrogen Energy (2021) Vol. 46, Iss. 21, pp. 11908-11925
Closed Access | Times Cited: 50
Efficient fractional-order modified Harris hawks optimizer for proton exchange membrane fuel cell modeling
Dalia Yousri, Seyedali Mirjalili, J. A. Tenreiro Machado, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 100, pp. 104193-104193
Closed Access | Times Cited: 48
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