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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 degradation prediction method of PEM fuel cells using bidirectional long short-term memory neural network based on Bayesian optimization
Dongfang Chen, Wenlong Wu, Kuanyu Chang, et al.
Energy (2023) Vol. 285, pp. 129469-129469
Closed Access | Times Cited: 23

Showing 23 citing articles:

Fault diagnosis of hydro-turbine via the incorporation of bayesian algorithm optimized CNN-LSTM neural network
Fang Dao, Yun Zeng, Jing Qian
Energy (2024) Vol. 290, pp. 130326-130326
Closed Access | Times Cited: 78
Hybrid framework combining grey system model with Gaussian process and STL for CO2 emissions forecasting in developed countries
Hong Yuan, Xin Ma, Minda Ma, et al.
Applied Energy (2024) Vol. 360, pp. 122824-122824
Closed Access | Times Cited: 19
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
NPP Accident Prevention: Integrated Neural Network for Coupled Multivariate Time Series Prediction based on PSO and its application under uncertainty analysis for NPP data
Xiao Xiao, Xuan Zhang, Meiqi Song, et al.
Energy (2024) Vol. 305, pp. 132374-132374
Closed Access | Times Cited: 6
Experimental investigation and comprehensive analysis of performance and membrane electrode assembly parameters for proton exchange membrane fuel cell at high operating temperature
Taoheng Yin, Dongfang Chen, Tong Hu, et al.
Energy Conversion and Management (2024) Vol. 315, pp. 118740-118740
Closed Access | Times Cited: 5
Generative adversarial networks for stack voltage degradation and RUL estimation in PEMFCs under static and dynamic loads
Tamilarasan Sathesh, Chong-Kai Wang, Shih-Cheng Hu, et al.
International Journal of Hydrogen Energy (2024) Vol. 89, pp. 66-83
Closed Access | Times Cited: 5
A novel multivariable prognostic approach for PEMFC degradation and remaining useful life prediction using random forest and temporal convolutional network
Tian Zhang, Zhengmeng Hou, LI Xiao-qin, et al.
Applied Energy (2025) Vol. 385, pp. 125569-125569
Open 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
Exploring Performance Degradation of Proton Exchange Membrane Fuel Cells Based on Diffusion Transformer Model
Lingling Lv, Pucheng Pei, Peng Ren, et al.
Energies (2025) Vol. 18, Iss. 5, pp. 1191-1191
Open Access
Voltage abnormity prediction method of lithium-ion energy storage power station using informer based on Bayesian optimization
Zhibo Rao, Jiahui Wu, Guodong Li, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Recursive performance prediction of automotive fuel cell based on conditional time series forecasting with convolutional neural network
Meiling Yue, Xin Zhang, Teng Teng, et al.
International Journal of Hydrogen Energy (2023) Vol. 56, pp. 248-258
Closed Access | Times Cited: 10
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: 3
Review of Proton Exchange Membrane Fuel Cell-Powered Systems for Stationary Applications Using Renewable Energy Sources
Motalleb Miri, Ivan Tolj, Frano Barbir
Energies (2024) Vol. 17, Iss. 15, pp. 3814-3814
Open Access | Times Cited: 2
Cathode fine-scale flow channel optimization enhancing the performance of proton exchange membrane fuel cells
Taoheng Yin, Dongfang Chen, Guangxin Yang, et al.
Applied Thermal Engineering (2024) Vol. 257, pp. 124269-124269
Closed Access | Times Cited: 1
Optimization of cathode catalyst layer composition for PEMFC based on an integrated approach of numerical simulation, surrogate model, multi-objective genetic algorithm and evaluation strategy
Ziqian Yang, Zhaojing Ni, Xiaolong Li, et al.
International Journal of Hydrogen Energy (2024) Vol. 96, pp. 97-112
Closed Access | Times Cited: 1
Enhanced performance prediction for proton exchange membrane fuel cells: A comprehensive study with different load profiles
Sami Ekici, Masud Kabir
International Journal of Hydrogen Energy (2024)
Closed Access | Times Cited: 1
Remaining useful life prediction of PEMFCs based on mode decomposition and hybrid method under real-world traffic conditions
Chen Li, Jibin Yang, Xiaohua Wu, et al.
Energy (2024), pp. 134279-134279
Closed Access | Times Cited: 1
Performance Degradation Prediction of Pemfc Based on Harris Hawks Optimization and Bidirectional Gated Recurrent Units
Guisheng Chen, Qiang Liu, Tingjie Ba, et al.
(2024)
Closed Access
Performance Degradation Prediction Method of Proton Exchange Membrane Fuel Cells Based on Arima-Lstm Combination Model
Zhiqiang Chen, Dongfang Chen, Kuanyu Chang, et al.
(2024)
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
Applying deep learning and automated machine learning for enhanced state monitoring and health assessment of high-pressure heater in thermal power units
Guangsheng Zhu Guangsheng Zhu, Yang Hu, Xiaoning Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109805-109805
Closed Access
Improving the robustness of tree-based prediction model of oil/water relative permeability through hyperparameter optimization and re-ensemble algorithm
Dongwei Wu, Xinhua Xue, Lei Zhou
Fuel (2024) Vol. 385, pp. 134146-134146
Closed Access
Prediction of Environmental Parameters of Yungang Grottoes Based on BO-CNN-LSTM Artificial Neural Network
Lei Gao, Hongbin Yan, Tingzhang Liu, et al.
Communications in computer and information science (2024), pp. 159-173
Closed Access
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