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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:

State of Health estimation and Remaining Useful Life prediction for lithium-ion batteries by Improved Particle Swarm Optimization-Back Propagation Neural Network
Yan Ma, Meihao Yao, Hongcheng Liu, et al.
Journal of Energy Storage (2022) Vol. 52, pp. 104750-104750
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Review on technological advancement of lithium-ion battery states estimation methods for electric vehicle applications
Prashant Shrivastava, P. Amritansh Naidu, Sakshi Sharma, et al.
Journal of Energy Storage (2023) Vol. 64, pp. 107159-107159
Closed Access | Times Cited: 83
State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network
Jingyi Gao, Dongfang Yang, Shi Wang, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 109248-109248
Closed Access | Times Cited: 78
SOH estimation for lithium-ion batteries: An improved GPR optimization method based on the developed feature extraction
Ye He, Wenyuan Bai, Lulu Wang, et al.
Journal of Energy Storage (2024) Vol. 83, pp. 110678-110678
Closed Access | Times Cited: 37
A review of expert hybrid and co-estimation techniques for SOH and RUL estimation in battery management system with electric vehicle application
Turki Alsuwian, Shaheer Ansari, Muhammad Ammirrul Atiqi Mohd Zainuri, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123123-123123
Closed Access | Times Cited: 34
A Review of Lithium-Ion Battery State of Charge Estimation Methods Based on Machine Learning
Feng Zhao, Yun Guo, Baoming Chen
World Electric Vehicle Journal (2024) Vol. 15, Iss. 4, pp. 131-131
Open Access | Times Cited: 17
State of health estimation of lithium-ion batteries based on equivalent circuit model and data-driven method
Liping Chen, Xinyuan Bao, António M. Lopes, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 109195-109195
Closed Access | Times Cited: 33
State of health estimation of the lithium-ion power battery based on the principal component analysis-particle swarm optimization-back propagation neural network
Muyao Wu, Yiming Zhong, Ji Wu, et al.
Energy (2023) Vol. 283, pp. 129061-129061
Closed Access | Times Cited: 32
State-of-health estimation method for fast-charging lithium-ion batteries based on stacking ensemble sparse Gaussian process regression
Fang Li, Yongjun Min, Ying Zhang, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109787-109787
Closed Access | Times Cited: 31
Parallel State Fusion LSTM-based Early-cycle Stage Lithium-ion Battery RUL Prediction Under Lebesgue Sampling Framework
Guangzheng Lyu, Heng Zhang, Qiang Miao
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109315-109315
Closed Access | Times Cited: 30
Battery State of Health Estimate Strategies: From Data Analysis to End-Cloud Collaborative Framework
Kaiyi Yang, Lisheng Zhang, Zhengjie Zhang, et al.
Batteries (2023) Vol. 9, Iss. 7, pp. 351-351
Open Access | Times Cited: 27
A novel battery health indicator and PSO-LSSVR for LiFePO4 battery SOH estimation during constant current charging
Junxiong Chen, Yuanjiang Hu, Qiao Zhu, et al.
Energy (2023) Vol. 282, pp. 128782-128782
Closed Access | Times Cited: 26
State of health and remaining useful life prediction of lithium-ion batteries with conditional graph convolutional network
Yupeng Wei, Dazhong Wu
Expert Systems with Applications (2023) Vol. 238, pp. 122041-122041
Open Access | Times Cited: 22
Aging mechanisms, prognostics and management for lithium-ion batteries: Recent advances
Yujie Wang, Haoxiang Xiang, Yin‐Yi Soo, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 207, pp. 114915-114915
Closed Access | Times Cited: 12
Early prediction of battery remaining useful life using CNN-XGBoost model and Coati optimization algorithm
Vahid Safavi, Arash Mohammadi, Najmeh Bazmohammadi, et al.
Journal of Energy Storage (2024) Vol. 98, pp. 113176-113176
Open Access | Times Cited: 11
Artificial intelligence-driven real-world battery diagnostics
Jingyuan Zhao, Xudong Qu, Yuyan Wu, et al.
Energy and AI (2024) Vol. 18, pp. 100419-100419
Open Access | Times Cited: 11
A deep learning framework for the joint prediction of the SOH and RUL of lithium-ion batteries based on bimodal images
Nian Cai, Xiaoping Que, Xu Zhang, et al.
Energy (2024) Vol. 302, pp. 131700-131700
Closed Access | Times Cited: 8
Hybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directions
Molla Shahadat Hossain Lipu, M. Rahman, Muhamad Mansor, et al.
Journal of Energy Storage (2024) Vol. 92, pp. 112107-112107
Closed Access | Times Cited: 8
A Novel Supercapacitor Degradation Prediction Using a 1D Convolutional Neural Network and Improved Informer Model
Hao Zhang, Zhenxiao Yi, Le Kang, et al.
Protection and Control of Modern Power Systems (2024) Vol. 9, Iss. 4, pp. 51-68
Open Access | Times Cited: 8
Particle swarm optimized data-driven model for remaining useful life prediction of lithium-ion batteries by systematic sampling
Shaheer Ansari, Afida Ayob, Molla Shahadat Hossain Lipu, et al.
Journal of Energy Storage (2022) Vol. 56, pp. 106050-106050
Closed Access | Times Cited: 35
Fast capacity and internal resistance estimation method for second-life batteries from electric vehicles
Elisa Braco, Idoia San Martín, Pablo Sanchis, et al.
Applied Energy (2022) Vol. 329, pp. 120235-120235
Open Access | Times Cited: 27
Indirect prediction of remaining useful life for lithium-ion batteries based on improved multiple kernel extreme learning machine
Yingda Zhang, Hongyan Ma, Shuai Wang, et al.
Journal of Energy Storage (2023) Vol. 64, pp. 107181-107181
Closed Access | Times Cited: 19
Machine learning-based state of health prediction for battery systems in real-world electric vehicles
Haixu Yang, Jichao Hong, Fengwei Liang, et al.
Journal of Energy Storage (2023) Vol. 66, pp. 107426-107426
Closed Access | Times Cited: 19
Computational analysis of performances for a hydrogen enriched compressed natural gas engine’ by advanced machine learning algorithms
Anas Rao, Tianhao Chen, Yongzhen Liu, et al.
Fuel (2023) Vol. 347, pp. 128244-128244
Closed Access | Times Cited: 16
ICFormer: A Deep Learning model for informed lithium-ion battery diagnosis and early knee detection
Nahuel Costa, David Anseán, Matthieu Dubarry, et al.
Journal of Power Sources (2023) Vol. 592, pp. 233910-233910
Open Access | Times Cited: 16
SOH and RUL prediction of lithium batteries based on fusions of RLOESS filtered electrochemical and thermal features by bidirectional gated recurrent unit network
Fei Xia, Yun Yu, Jiajun Chen
Journal of Energy Storage (2024) Vol. 102, pp. 114134-114134
Closed Access | Times Cited: 6
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