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.

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Showing 1-25 of 59 citing articles:

A deep feature learning method for remaining useful life prediction of drilling pumps
Junyu Guo, Jia‐Lun Wan, Yan Yang, et al.
Energy (2023) Vol. 282, pp. 128442-128442
Closed Access | Times Cited: 55

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: 45

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: 40

A review of data-driven whole-life state of health prediction for lithium-ion batteries: Data preprocessing, aging characteristics, algorithms, and future challenges
Yanxin Xie, Shunli Wang, Gexiang Zhang, et al.
Journal of Energy Chemistry (2024) Vol. 97, pp. 630-649
Closed Access | Times Cited: 25

State of the Art in Electric Batteries’ State-of-Health (SoH) Estimation with Machine Learning: A Review
Giovane Ronei Sylvestrin, Joylan Nunes Maciel, Márcio Luís Munhoz Amorim, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 746-746
Open Access | Times Cited: 1

Spatial and temporal variation of ecological quality in northeastern China and analysis of influencing factors
Xiaoyong Zhang, Weiwei Jia, Jinyou He
Journal of Cleaner Production (2023) Vol. 423, pp. 138650-138650
Closed Access | Times Cited: 30

Health and lifespan prediction considering degradation patterns of lithium-ion batteries based on transferable attention neural network
Aihua Tang, Yihan Jiang, Yuwei Nie, et al.
Energy (2023) Vol. 279, pp. 128137-128137
Closed Access | Times Cited: 27

Deep machine learning approaches for battery health monitoring
Sanjeev Kumar Singh, P. R. Budarapu
Energy (2024) Vol. 300, pp. 131540-131540
Closed Access | Times Cited: 10

Prediction of the rate of penetration in offshore large-scale cluster extended reach wells drilling based on machine learning and big-data techniques
Xuyue Chen, Chengkai Weng, Xu Du, et al.
Ocean Engineering (2023) Vol. 285, pp. 115404-115404
Closed Access | Times Cited: 18

Stacking integrated learning model via ELM and GRU with mixture correntropy loss for robust state of health estimation of lithium-ion batteries
Jingsong Xue, Wentao Ma, Xiaoyang Feng, et al.
Energy (2023) Vol. 284, pp. 129279-129279
Closed Access | Times Cited: 16

A structural pruning method for lithium-ion batteries remaining useful life prediction model with multi-head attention mechanism
Ge Yang, Jiaxin Ma, Guodong Sun
Journal of Energy Storage (2024) Vol. 86, pp. 111396-111396
Closed Access | Times Cited: 7

Online detection of lithium plating onset during constant and multistage constant current fast charging for lithium-ion batteries
Yu‐Dong Shen, Xueyuan Wang, Zhao Jiang, et al.
Applied Energy (2024) Vol. 370, pp. 123631-123631
Closed Access | Times Cited: 5

Jointed SOH Estimation of Electric Bus Batteries Based on Operating Conditions and Multiple Indicators
Xiaohui Xu, Ke Deng, Jibin Yang, et al.
Sustainability (2025) Vol. 17, Iss. 3, pp. 812-812
Open Access

A Hybrid Data-driven Granular Model for Battery Remaining Useful Life Prediction
TaiLong Jing, Sheng Du, Cong Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-12
Closed Access

A multi-strategy attention regression network for joint prediction of state of health and remaining useful life of lithium-ion batteries using only charging data
Weiguo Feng, Z. T. Sun, Y. L. Han, et al.
Journal of Power Sources (2025) Vol. 636, pp. 236507-236507
Closed Access

Ultra-early prediction of lithium-ion battery cycle life based on assembled capacity curve extracted from a single cycle
Wenjin Yang, Hengzhao Yang
Journal of Power Sources (2025) Vol. 640, pp. 236620-236620
Closed Access

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

Efficient analysis of characteristic responses to curing behavior using FBG sensors for residual strain controlling in CFRP laminates
Hongtao Wang, Jikang Zhao, Jingxuan Dong, et al.
Composites Part A Applied Science and Manufacturing (2025), pp. 108869-108869
Closed Access

Energy storage planning for enhanced resilience of power systems against wildfires and heatwaves
Konstantinos Oikonomou, Patrick Maloney, Saptarshi Bhattacharya, et al.
Journal of Energy Storage (2025) Vol. 119, pp. 116074-116074
Closed Access

Research progress on early warning method and suppression technology of thermal runaway of lithium battery
Hailang Ma, Qiang He, Fengwei Zhang, et al.
Journal of Energy Storage (2025) Vol. 119, pp. 116377-116377
Closed Access

Online Remaining Useful Life Prediction of Lithium-ion Batteries Based on Hybrid Model
Jing Sun, Huiyi Yan
Journal of The Electrochemical Society (2025) Vol. 172, Iss. 4, pp. 040503-040503
Closed Access

Research Progress on Data-Driven Methods for Battery States Estimation of Electric Buses
Dengfeng Zhao, Haiyang Li, Fang Zhou, et al.
World Electric Vehicle Journal (2023) Vol. 14, Iss. 6, pp. 145-145
Open Access | Times Cited: 12

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