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:

Weight optimized unscented Kalman filter for degradation trend prediction of lithium-ion battery with error compensation strategy
Yong Zhang, Lei Tu, Zhiwei Xue, et al.
Energy (2022) Vol. 251, pp. 123890-123890
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Accurate capacity and remaining useful life prediction of lithium-ion batteries based on improved particle swarm optimization and particle filter
Hui Pang, Kaiqiang Chen, Yuanfei Geng, et al.
Energy (2024) Vol. 293, pp. 130555-130555
Closed Access | Times Cited: 43

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

State of health prediction of lithium-ion batteries based on SSA optimized hybrid neural network model
Jiani Zhou, Shunli Wang, Wen Cao, et al.
Electrochimica Acta (2024) Vol. 487, pp. 144146-144146
Closed Access | Times Cited: 16

Security-Ensured State of Charge Estimation of Lithium-Ion Batteries Subject to Malicious Attacks
Engang Tian, Hui Chen, Changsong Wang, et al.
IEEE Transactions on Smart Grid (2022) Vol. 14, Iss. 3, pp. 2250-2261
Closed Access | Times Cited: 49

A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries
Guijun Ma, Zidong Wang, Weibo Liu, et al.
Knowledge-Based Systems (2022) Vol. 259, pp. 110012-110012
Open Access | Times Cited: 46

Residual life prediction of lithium-ion batteries based on data preprocessing and a priori knowledge-assisted CNN-LSTM
Qilong Xie, Rongchuan Liu, Jihao Huang, et al.
Energy (2023) Vol. 281, pp. 128232-128232
Closed Access | Times Cited: 37

Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach
Guijun Ma, Zidong Wang, Weibo Liu, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 7, pp. 1530-1543
Closed Access | Times Cited: 31

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

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 Review of Remaining Useful Life Prediction for Energy Storage Components Based on Stochastic Filtering Methods
Liyuan Shao, Yong Zhang, Xiujuan Zheng, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1469-1469
Open Access | Times Cited: 18

Early Uncertainty Quantification Prediction of Lithium-Ion Battery Remaining Useful Life With Transformer Ensemble Model
Jijuan Hu, Lifeng Wu
IEEE Transactions on Transportation Electrification (2024) Vol. 10, Iss. 4, pp. 8618-8629
Closed Access | Times Cited: 6

A review of hybrid methods based remaining useful life prediction framework and SWOT analysis for energy storage systems in electric vehicle application
Turki Alsuwian, Shaheer Ansari, Muhammad Ammirrul Atiqi Mohd Zainuri, et al.
Journal of Energy Storage (2025) Vol. 117, pp. 116152-116152
Closed Access

Remaining useful life prediction of lithium-ion batteries based on TCN-DCN fusion model combined with IRRS filtering
Fan Zhang, Zhongli Shen, Menglin Xu, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108586-108586
Closed Access | Times Cited: 15

Intelligent monitoring system for production lines in smart factories: A hybrid method integrating Transformer and Kalman filter
Xuzhou Fang, Qinghua Song, Zhenyang Li, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 27-47
Closed Access

A feature fusion optimization algorithm for predicting the remaining useful life of lithium-ion batteries
Xinghong Zhang, Yi Xu, Zehao Gong
Energy Reports (2023) Vol. 9, pp. 142-153
Open Access | Times Cited: 10

Improved genetic algorithm based on rule optimization strategy for fibre allocation
Feng Tan, Zhipeng Yuan, Yong Zhang, et al.
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 3

An integrated network architecture for data repair and degradation trend prediction
Qichao Yang, Baoping Tang, Shilong Yang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110610-110610
Closed Access | Times Cited: 9

A dual-model adaptive Kalman filtering for remaining useful life prediction method based on feature fusion and online TSP recognition
Zhiyi Yuan, Tao Chen, Jialong He, et al.
Measurement (2024) Vol. 235, pp. 115023-115023
Closed Access | Times Cited: 3

A multi-stage time series processing framework based on attention mechanism for early life prediction of lithium-ion batteries
Mingxuan Gao, Zicheng Fei, Dongxu Guo, et al.
Journal of Energy Storage (2024) Vol. 84, pp. 110771-110771
Closed Access | Times Cited: 2

A novel LFSSA-LSTM algorithm for the remaining useful life prediction of lithium-ion batteries in whole life cycle
Peng Shi, Rongchun Hu, Yisheng He, et al.
International Journal of Electrochemical Science (2024) Vol. 19, Iss. 9, pp. 100719-100719
Open Access | Times Cited: 2

Wind power prediction based on periodic characteristic decomposition and multi-layer attention network
Xuechao Liao, Zhenxing Liu, Xiujuan Zheng, et al.
Neurocomputing (2023) Vol. 534, pp. 119-132
Closed Access | Times Cited: 6

An improved sliding window - long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics
Shunli Wang, Paul Takyi‐Aninakwa, Siyu Jin, et al.
Journal of Energy Storage (2023) Vol. 70, pp. 108038-108038
Open Access | Times Cited: 5

Improved multi-gate mixture-of-experts framework for multi-step prediction of gas load
Jianfeng Tong, Zhenxing Liu, Yong Zhang, et al.
Energy (2023) Vol. 282, pp. 128344-128344
Closed Access | Times Cited: 4

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