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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.

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Showing 18 citing articles:

Lithium battery prognostics and health management for electric vehicle application – A perspective review
Roushan Kumar, Kaushik Das
Sustainable Energy Technologies and Assessments (2024) Vol. 65, pp. 103766-103766
Closed Access | Times Cited: 17
Research and application of a novel graph convolutional RVFL and evolutionary equilibrium optimizer algorithm considering spatial factors in ultra-short-term solar power prediction
Peng Tian, Shihao Song, Leiming Suo, et al.
Energy (2024) Vol. 308, pp. 132928-132928
Closed Access | Times Cited: 10
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
A simplified electrochemical model for lithium-ion batteries based on ensemble learning
Guorong Zhu, Chun Kong, Jing V. Wang, et al.
iScience (2024) Vol. 27, Iss. 5, pp. 109685-109685
Open Access | Times Cited: 5
Adaptable capacity estimation of lithium-ion battery based on short-duration random constant-current charging voltages and convolutional neural networks
Zuolu Wang, Xiaoyu Zhao, Dong Zhen, et al.
Energy (2024) Vol. 306, pp. 132541-132541
Open Access | Times Cited: 5
Lithium-ion battery state of health estimation method based on variational quantum algorithm optimized stacking strategy
Longze Wang, Siyu Jiang, Yuteng Mao, et al.
Energy Reports (2024) Vol. 11, pp. 2877-2891
Open Access | Times Cited: 4
State of Health Estimation for Lithium-Ion Batteries Based on Transferable Long Short-Term Memory Optimized Using Harris Hawk Algorithm
Guangyi Yang, Xianglin Wang, Ran Li, et al.
Sustainability (2024) Vol. 16, Iss. 15, pp. 6316-6316
Open Access | Times Cited: 4
A decade of machine learning in lithium-ion battery state estimation: a systematic review
Zaina Al-Hashimi, Taha Khamis, Mouaz Al Kouzbary, et al.
Ionics (2025) Vol. 31, Iss. 3, pp. 2351-2377
Closed Access
Enhancing structural damage detection: A comprehensive study on feature engineering and hyperparameters for pattern recognition algorithms
Javad Amanabadi, Touraj Taghikhany, M.M. Alinia
Journal of Vibration and Control (2025)
Closed Access
Cross-domain state of health estimation for lithium-ion battery based on latent space consistency using few-unlabeled data
Bowen Dou, Shujuan Hou, Li Hai, et al.
Energy (2025), pp. 135257-135257
Closed Access
Short and long term memory method for predicting the temperature of motor stator based on Harris eagle algorithm optimization
Lei Wang, Feng Qiu, Zhipeng Li
Case Studies in Thermal Engineering (2024) Vol. 59, pp. 104454-104454
Open Access | Times Cited: 3
Intelligent regional subsurface prediction based on limited borehole data and interpretability stacking technique of ensemble learning
Jun Bai, Sheng Wang, Qiang Xu, et al.
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 7
Closed Access | Times Cited: 3
Evolutionary hybrid deep learning based on feature engineering and deep projection encoded echo-state network for lithium batteries state of health estimation
Zhongyi Tang, Zhirong Zhang, Xiumei Shen, et al.
Energy (2024), pp. 133978-133978
Closed Access | Times Cited: 1
An enhanced deep learning framework for state of health and remaining useful life prediction of lithium-ion battery based on discharge fragments
Shilong Wang, P.H. Wang, Lingfeng Wang, et al.
Journal of Energy Storage (2024) Vol. 107, pp. 114952-114952
Closed Access | Times Cited: 1
State of Health Estimation for Lithium-Ion Battery Based on Sample Transfer Learning under Current Pulse Test
Yuanyuan Li, Xinrong Huang, Jinhao Meng, et al.
Batteries (2024) Vol. 10, Iss. 5, pp. 156-156
Open Access
A stacking machine learning model for predicting pullout capacity of small ground anchors
Lin Li, Linlong Zuo, Guangfeng Wei, et al.
AI in Civil Engineering (2024) Vol. 3, Iss. 1
Open Access
Detecting abnormality of battery decline for unbalanced samples via ensemble learning optimization
Jingcai Du, Caiping Zhang, Shuowei Li, et al.
Journal of Energy Storage (2024) Vol. 104, pp. 114522-114522
Closed Access
BMSFormer: An efficient deep learning model for online state-of-health estimation of lithium-ion batteries under high-frequency early SOC data with strong correlated single health indicator
Xiaopeng Li, Minghang Zhao, Shisheng Zhong, et al.
Energy (2024), pp. 134030-134030
Closed Access
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