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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 proton-exchange membrane fuel cell based on convolutional neural network and random forest feature selection
Weiwei Huo, Weier Li, Zehui Zhang, et al.
Energy Conversion and Management (2021) Vol. 243, pp. 114367-114367
Closed Access | Times Cited: 148

Showing 1-25 of 148 citing articles:

A systematic review of machine learning methods applied to fuel cells in performance evaluation, durability prediction, and application monitoring
Wuyi Ming, Peiyan Sun, Zhen Zhang, et al.
International Journal of Hydrogen Energy (2022) Vol. 48, Iss. 13, pp. 5197-5228
Closed Access | Times Cited: 103
Application of Machine Learning in Optimizing Proton Exchange Membrane Fuel Cells: A Review
Rui Ding, Shiqiao Zhang, Yawen Chen, et al.
Energy and AI (2022) Vol. 9, pp. 100170-100170
Open Access | Times Cited: 100
Continuum Modeling of Porous Electrodes for Electrochemical Synthesis
Justin C. Bui, Eric W. Lees, L. M. Pant, et al.
Chemical Reviews (2022) Vol. 122, Iss. 12, pp. 11022-11084
Open Access | Times Cited: 90
A data-driven method for multi-step-ahead prediction and long-term prognostics of proton exchange membrane fuel cell
Khaled Benaggoune, Meiling Yue, Samir Jemeï, et al.
Applied Energy (2022) Vol. 313, pp. 118835-118835
Closed Access | Times Cited: 79
Machine learning predicting and engineering the yield, N content, and specific surface area of biochar derived from pyrolysis of biomass
Lijian Leng, Lihong Yang, Xinni Lei, et al.
Biochar (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 75
NOx emission prediction using a lightweight convolutional neural network for cleaner production in a down-fired boiler
Zhi Wang, Xianyong Peng, Shengxian Cao, et al.
Journal of Cleaner Production (2023) Vol. 389, pp. 136060-136060
Closed Access | Times Cited: 57
Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles
Mojgan Fayyazi, Paramjotsingh Sardar, Sumit Infent Thomas, et al.
Sustainability (2023) Vol. 15, Iss. 6, pp. 5249-5249
Open Access | Times Cited: 53
Machine-learning-aided prediction and engineering of nitrogen-containing functional groups of biochar derived from biomass pyrolysis
Lijian Leng, Xinni Lei, Naif Abdullah Al‐Dhabi, et al.
Chemical Engineering Journal (2024) Vol. 485, pp. 149862-149862
Closed Access | Times Cited: 24
Hybrid WT–CNN–GRU-based model for the estimation of reservoir water quality variables considering spatio-temporal features
Mohammad Zamani, Mohammad Reza Nikoo, Ghazi Al-Rawas, et al.
Journal of Environmental Management (2024) Vol. 358, pp. 120756-120756
Closed Access | Times Cited: 24
A novel adaptive fast sliding mode control method based on fuzzy algorithm for the air management system of fuel cell stack
Shiyi Fang, Rongrong Zhang, Sergey Maltsev, et al.
Process Safety and Environmental Protection (2024) Vol. 187, pp. 506-517
Closed Access | Times Cited: 24
A recent overview of proton exchange membrane fuel cells: Fundamentals, applications, and advances
Naef A.A. Qasem
Applied Thermal Engineering (2024) Vol. 252, pp. 123746-123746
Closed Access | Times Cited: 22
Leveraging the power of internet of things and artificial intelligence in forest fire prevention, detection, and restoration: A comprehensive survey
Sofia Giannakidou, Panagiotis Radoglou-Grammatikis, Θωμάς Λάγκας, et al.
Internet of Things (2024) Vol. 26, pp. 101171-101171
Open Access | Times Cited: 21
Unlocking the potential: machine learning applications in electrocatalyst design for electrochemical hydrogen energy transformation
Rui Ding, Junhong Chen, Yuxin Chen, et al.
Chemical Society Reviews (2024)
Open Access | Times Cited: 20
A hybrid ensemble optimized BiGRU method for short-term photovoltaic generation forecasting
Yeming Dai, Weijie Yu, Mingming Leng
Energy (2024) Vol. 299, pp. 131458-131458
Closed Access | Times Cited: 17
A novel WaveNet-GRU deep learning model for PEM fuel cells degradation prediction based on transfer learning
Mohammad J. Izadi, Pourya Hassani, Mehrdad Raeesi, et al.
Energy (2024) Vol. 293, pp. 130602-130602
Closed Access | Times Cited: 16
Water transport in PEMFC with metal foam flow fields: Visualization based on AI image recognition
Qifeng Li, Kai Sun, Mengshan Suo, et al.
Applied Energy (2024) Vol. 365, pp. 123273-123273
Closed Access | Times Cited: 16
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
Improved arithmetic optimization algorithm and its application to carbon fiber reinforced polymer-steel bond strength estimation
Xiaoling Shi, Xinping Yu, Mahzad Esmaeili‐Falak
Composite Structures (2022) Vol. 306, pp. 116599-116599
Closed Access | Times Cited: 61
Co-optimization method of speed planning and energy management for fuel cell vehicles through signalized intersections
Xiaodong Wei, Jianghao Leng, Chao Sun, et al.
Journal of Power Sources (2021) Vol. 518, pp. 230598-230598
Closed Access | Times Cited: 60
Diagnosis of proton exchange membrane fuel cell system based on adaptive neural fuzzy inference system and electrochemical impedance spectroscopy
Yunjin Ao, Salah Laghrouche, Daniel Depernet
Energy Conversion and Management (2022) Vol. 256, pp. 115391-115391
Closed Access | Times Cited: 43
Rapid identification of reactivity for the efficient recycling of coal fly ash: Hybrid machine learning modeling and interpretation
Chongchong Qi, Mengting Wu, Jiashuai Zheng, et al.
Journal of Cleaner Production (2022) Vol. 343, pp. 130958-130958
Closed Access | Times Cited: 39
A decision support system for classifying supplier selection criteria using machine learning and random forest approach
Md. Ramjan Ali, Shah Md Ashiquzzaman Nipu, Sharfuddin Ahmed Khan
Decision Analytics Journal (2023) Vol. 7, pp. 100238-100238
Open Access | Times Cited: 39
Progress in prediction of remaining useful life of hydrogen fuel cells based on deep learning
Wenbin He, Ting Liu, Wuyi Ming, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114193-114193
Closed Access | Times Cited: 34
Water spatial distribution in polymer electrolyte membrane fuel cell: Convolutional neural network analysis of neutron radiography
Yiheng Pang, Yun Wang
Energy and AI (2023) Vol. 14, pp. 100265-100265
Open Access | Times Cited: 33
Big data-driven correlation analysis based on clustering for energy-intensive manufacturing industries
Shuaiyin Ma, Yuming Huang, Yang Liu, et al.
Applied Energy (2023) Vol. 349, pp. 121608-121608
Open Access | Times Cited: 29
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