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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.

Requested Article:

Accurate Capacity Prediction and Evaluation with Advanced SSA-CNN-BiLSTM Framework for Lithium-Ion Batteries
Chunsong Lin, Xianguo Tuo, Longxing Wu, et al.
Batteries (2024) Vol. 10, Iss. 3, pp. 71-71
Open Access | Times Cited: 11

Showing 11 citing articles:

Predicting the Remaining Useful Life of Supercapacitors under Different Operating Conditions
Guangheng Qi, Ning Ma, Kai Wang
Energies (2024) Vol. 17, Iss. 11, pp. 2585-2585
Open Access | Times Cited: 37
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
Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries
Seyed Saeed Madani, Carlos Ziebert, Parisa Vahdatkhah, et al.
Batteries (2024) Vol. 10, Iss. 6, pp. 204-204
Open Access | Times Cited: 8
A Study on the Differences in Optimized Inputs of Various Data-Driven Methods for Battery Capacity Prediction
Kuo Xin, Jia Fu, Byungcho Choi, et al.
Batteries (2025) Vol. 11, Iss. 1, pp. 26-26
Open Access
Physics-informed Machine Learning for Accurate SOH Estimation of Lithium-ion Batteries Considering Various Temperatures and Operating Conditions
Chunsong Lin, Xianguo Tuo, Longxing Wu, et al.
Energy (2025), pp. 134937-134937
Closed Access
A lightweight two-stage physics-informed neural network for SOH estimation of lithium-ion batteries with different chemistries
Chunsong Lin, Longxing Wu, Xianguo Tuo, et al.
Journal of Energy Chemistry (2025)
Closed Access
Battery SOC estimation with physics-constrained BiLSTM under different external pressures and temperatures
Longxing Wu, Xinyuan Wei, Chunsong Lin, et al.
Journal of Energy Storage (2025) Vol. 117, pp. 116205-116205
Closed Access
Enhanced Battery Degradation and RUL Prediction Using Bidirectional LSTM Networks
Aman Darolia
Research Square (Research Square) (2025)
Closed Access
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
Cavity-constrained LIBS combined with Gray Wolf Optimization Algorithm for Optimizing Bidirectional Long and Short-Term Memory Network (GWO-BiLSTM) for Classification Prediction of Different Brands of Cigarettes
Junjie Chen, Xiaojian Hao, Biming Mo, et al.
Journal of Analytical Atomic Spectrometry (2024) Vol. 39, Iss. 10, pp. 2382-2394
Closed Access | Times Cited: 1
Kurtosis-Based State of Health Prediction of Lithium-Ion Batteries Using Probability Density Function
Yinsen Yu, Yongxiang CAI, Wei Liu, et al.
Electrochemistry (2024) Vol. 92, Iss. 9, pp. 097004-097004
Open Access
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