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:

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: 13

Showing 13 citing articles:

Deep Learning-Based State-of-Health Estimation of Proton-Exchange Membrane Fuel Cells under Dynamic Operation Conditions
Yujia Zhang, Xingwang Tang, Sichuan Xu, et al.
Sensors (2024) Vol. 24, Iss. 14, pp. 4451-4451
Open Access | Times Cited: 7

Performance evaluation of a hybrid hydrogen fuel cell/battery bus with fuel cell degradation and battery aging
Shadi Bashiri Mousavi, Pouria Ahmadi, Mehrdad Raeesi
Renewable Energy (2024) Vol. 227, pp. 120456-120456
Closed Access | Times Cited: 6

Transfer learning based hybrid model for power demand prediction of large-scale electric vehicles
Chenlu Tian, Yechun Liu, Guiqing Zhang, et al.
Energy (2024) Vol. 300, pp. 131461-131461
Closed Access | Times Cited: 6

A knowledge transfer method for water faults diagnosis of proton exchange membrane fuel cell based on sample re-weighting
Shangrui Gao, Zhendong Sun, Yujie Wang, et al.
Applied Energy (2025) Vol. 386, pp. 125575-125575
Closed Access

Ultra-short-term wind farm cluster interval power prediction based on cluster division and MQ-WaveNet-MSA
Chao Wang, Lin Hon, Ming Yang, et al.
Electric Power Systems Research (2025) Vol. 244, pp. 111557-111557
Closed Access

A deep learning method based on CNN-BiGRU and attention mechanism for proton exchange membrane fuel cell performance degradation prediction
Jiaming Zhou, Xing Shu, Jinming Zhang, et al.
International Journal of Hydrogen Energy (2024) Vol. 94, pp. 394-405
Closed Access | Times Cited: 4

A refined grey Verhulst model for accurate degradation prognostication of PEM fuel cells based on inverse hyperbolic sine function transformation
Ruike Huang, Xuexia Zhang, Sidi Dong, et al.
Renewable Energy (2024) Vol. 237, pp. 121770-121770
Closed Access | Times Cited: 2

Prediction model of burn-through point with data correction based on feature matching of cross-section frame at discharge end
Huihang Li, Min Wu, Sheng Du, et al.
Journal of Process Control (2024) Vol. 140, pp. 103265-103265
Closed Access | Times Cited: 1

A data-driven method with sample entropy and CEEMDAN for short-term performance degradation prediction of dynamic hydrogen fuel cells
Siyuan Cui, Jianfang Jia, Xiaoqiong Pang, et al.
International Journal of Hydrogen Energy (2024) Vol. 83, pp. 916-932
Closed Access | Times Cited: 1

Energy management strategy for long-life fuel cell hybrid power systems based on improved whale optimization algorithm
Zhichao Fu, Qihong Chen, Ze Zhou, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2024) Vol. 46, Iss. 1, pp. 1-16
Closed Access

Prediction of PEM fuel cell performance degradation using bidirectional long short-term memory with chimp optimization algorithm
Başak Ekinci, İlker Dursun, Zeynep Garip, et al.
The European Physical Journal Special Topics (2024)
Closed Access

Cold start of PEMFCs based on adaptive strategies: A comprehensive review
Xudong Deng, Wei Hu, Qichao Zou, et al.
International Journal of Hydrogen Energy (2024) Vol. 100, pp. 1120-1134
Closed Access

A novel remaining useful life prediction method under multiple operating conditions based on attention mechanism and deep learning
Jie Wang, Lu Zhong, Jia Zhou, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103083-103083
Closed Access

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