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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:

Lithium-ion battery state of health estimation using the incremental capacity and wavelet neural networks with genetic algorithm
Chun Chang, Qiyue Wang, Jiuchun Jiang, et al.
Journal of Energy Storage (2021) Vol. 38, pp. 102570-102570
Closed Access | Times Cited: 125

Showing 1-25 of 125 citing articles:

Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review
Aaruththiran Manoharan, Mumtaj Begam, Vimal Rau Aparow, et al.
Journal of Energy Storage (2022) Vol. 55, pp. 105384-105384
Closed Access | Times Cited: 188
Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data
Jiachi Yao, Te Han
Energy (2023) Vol. 271, pp. 127033-127033
Closed Access | Times Cited: 140
Iterative identification methods for a class of bilinear systems by using the particle filtering technique
Meihang Li, Ximei Liu
International Journal of Adaptive Control and Signal Processing (2021) Vol. 35, Iss. 10, pp. 2056-2074
Closed Access | Times Cited: 138
The data filtering based multiple‐stage Levenberg–Marquardt algorithm for Hammerstein nonlinear systems
Yan Ji, Zhen Kang, Ximei Liu
International Journal of Robust and Nonlinear Control (2021) Vol. 31, Iss. 15, pp. 7007-7025
Closed Access | Times Cited: 128
Long short-term memory network with Bayesian optimization for health prognostics of lithium-ion batteries based on partial incremental capacity analysis
Huixing Meng, Mengyao Geng, Te Han
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109288-109288
Closed Access | Times Cited: 128
Partially-coupled nonlinear parameter optimization algorithm for a class of multivariate hybrid models
Yihong Zhou, Xiao Zhang, Feng Ding
Applied Mathematics and Computation (2021) Vol. 414, pp. 126663-126663
Closed Access | Times Cited: 117
State-of-health estimation of lithium-ion batteries based on improved long short-term memory algorithm
Gong Ya-dong, Xiaoyong Zhang, Dianzhu Gao, et al.
Journal of Energy Storage (2022) Vol. 53, pp. 105046-105046
Closed Access | Times Cited: 69
Data-driven battery state of health estimation based on interval capacity for real-world electric vehicles
Renzheng Li, Jichao Hong, Huaqin Zhang, et al.
Energy (2022) Vol. 257, pp. 124771-124771
Closed Access | Times Cited: 69
State of health and remaining useful life prediction of lithium-ion batteries based on a disturbance-free incremental capacity and differential voltage analysis method
Fei Xia, Kangan Wang, Jiajun Chen
Journal of Energy Storage (2023) Vol. 64, pp. 107161-107161
Closed Access | Times Cited: 63
Battery SOH estimation and RUL prediction framework based on variable forgetting factor online sequential extreme learning machine and particle filter
Wenxian Duan, Shixin Song, Feng Xiao, et al.
Journal of Energy Storage (2023) Vol. 65, pp. 107322-107322
Closed Access | Times Cited: 60
A novel back propagation neural network-dual extended Kalman filter method for state-of-charge and state-of-health co-estimation of lithium-ion batteries based on limited memory least square algorithm
Chao Wang, Shunli Wang, Jinzhi Zhou, et al.
Journal of Energy Storage (2023) Vol. 59, pp. 106563-106563
Closed Access | Times Cited: 58
A comprehensive review of the lithium-ion battery state of health prognosis methods combining aging mechanism analysis
Yanqiu Xiao, Jishu Wen, Lei Yao, et al.
Journal of Energy Storage (2023) Vol. 65, pp. 107347-107347
Closed Access | Times Cited: 58
Critical summary and perspectives on state-of-health of lithium-ion battery
Bo Yang, Yucun Qian, Qiang Li, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 190, pp. 114077-114077
Closed Access | Times Cited: 52
State of health estimation for lithium-ion battery based on particle swarm optimization algorithm and extreme learning machine
Kui Chen, Jiali Li, Kai Liu, et al.
Green Energy and Intelligent Transportation (2024) Vol. 3, Iss. 1, pp. 100151-100151
Open Access | Times Cited: 24
State of health prediction of lithium-ion batteries under early partial data based on IWOA-BiLSTM with single feature
Yan Ma, Jiaqi Li, Jinwu Gao, et al.
Energy (2024) Vol. 295, pp. 131085-131085
Closed Access | Times Cited: 23
Advances in battery state estimation of battery management system in electric vehicles
Ming Jiang, Dongjiang Li, Zonghua Li, et al.
Journal of Power Sources (2024) Vol. 612, pp. 234781-234781
Closed Access | Times Cited: 16
Auxiliary model‐based multi‐innovation recursive identification algorithms for an input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity
Yamin Fan, Ximei Liu
International Journal of Adaptive Control and Signal Processing (2021) Vol. 36, Iss. 3, pp. 521-540
Closed Access | Times Cited: 97
A novel nonlinear optimization method for fitting a noisy Gaussian activation function
Jimei Li, Feng Ding, Tasawar Hayat
International Journal of Adaptive Control and Signal Processing (2021) Vol. 36, Iss. 3, pp. 690-707
Closed Access | Times Cited: 91
Filtering‐based recursive least squares estimation approaches for multivariate equation‐error systems by using the multiinnovation theory
Ping Ma, Lei Wang
International Journal of Adaptive Control and Signal Processing (2021) Vol. 35, Iss. 9, pp. 1898-1915
Closed Access | Times Cited: 75
Battery health prognosis using improved temporal convolutional network modeling
Danhua Zhou, Bin Wang
Journal of Energy Storage (2022) Vol. 51, pp. 104480-104480
Closed Access | Times Cited: 54
Comprehensive review of battery state estimation strategies using machine learning for battery Management Systems of Aircraft Propulsion Batteries
Tahmineh Raoofi, Melih Yıldız
Journal of Energy Storage (2022) Vol. 59, pp. 106486-106486
Closed Access | Times Cited: 47
State of health estimation of lithium-ion batteries based on fine-tuning or rebuilding transfer learning strategies combined with new features mining
Kai Huang, Kaixin Yao, Yongfang Guo, et al.
Energy (2023) Vol. 282, pp. 128739-128739
Closed Access | Times Cited: 24
Collaborative evaluation of SoC, SoP and SoH of lithium-ion battery in an electric bus through improved remora optimization algorithm and dual adaptive Kalman filtering algorithm
P. Reshma, V. Joshi Manohar
Journal of Energy Storage (2023) Vol. 68, pp. 107573-107573
Closed Access | Times Cited: 22
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
Capacity estimation for lithium-ion battery via a novel health indicator extracted from partial constant voltage charging curve
Shuzhi Zhang, Shao-Jie Wu, Ganglin Cao, et al.
Journal of Cleaner Production (2023) Vol. 409, pp. 137220-137220
Closed Access | Times Cited: 21
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