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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:

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

Showing 1-25 of 54 citing articles:

Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects
Yunhong Che, Xiaosong Hu, Xianke Lin, et al.
Energy & Environmental Science (2023) Vol. 16, Iss. 2, pp. 338-371
Open Access | Times Cited: 172
Battery prognostics and health management from a machine learning perspective
Jingyuan Zhao, Xuning Feng, Quanquan Pang, et al.
Journal of Power Sources (2023) Vol. 581, pp. 233474-233474
Closed Access | Times Cited: 60
Research progress and application of deep learning in remaining useful life, state of health and battery thermal management of lithium batteries
Wenbin He, Zongze Li, Ting Liu, et al.
Journal of Energy Storage (2023) Vol. 70, pp. 107868-107868
Closed Access | Times Cited: 42
Capacity estimation of lithium-ion batteries based on data aggregation and feature fusion via graph neural network
Zhe Wang, Fangfang Yang, Qiang Xu, et al.
Applied Energy (2023) Vol. 336, pp. 120808-120808
Closed Access | Times Cited: 40
A separate modeling approach to noisy displacement prediction of concrete dams via improved deep learning with frequency division
Minghao Li, Qiubing Ren, Mingchao Li, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102367-102367
Closed Access | Times Cited: 16
Explainability-driven model improvement for SOH estimation of lithium-ion battery
Fujin Wang, Zhibin Zhao, Zhi Zhai, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109046-109046
Closed Access | Times Cited: 66
Deep feature extraction in lifetime prognostics of lithium-ion batteries: Advances, challenges and perspectives
Chuan Li, Huahua Zhang, Ping Ding, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 184, pp. 113576-113576
Closed Access | Times Cited: 39
A new SOH estimation method for Lithium-ion batteries based on model-data-fusion
Liping Chen, Siqiang Xie, António M. Lopes, et al.
Energy (2023) Vol. 286, pp. 129597-129597
Closed Access | Times Cited: 38
State of health estimation for lithium-ion batteries on few-shot learning
Shuxin Zhang, Zhitao Liu, Hongye Su
Energy (2023) Vol. 268, pp. 126726-126726
Closed Access | Times Cited: 31
A vision transformer-based deep neural network for state of health estimation of lithium-ion batteries
Liping Chen, Siqiang Xie, António M. Lopes, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 152, pp. 109233-109233
Open Access | Times Cited: 28
Open access dataset, code library and benchmarking deep learning approaches for state-of-health estimation of lithium-ion batteries
Fujin Wang, Zhi Zhai, Bingchen Liu, et al.
Journal of Energy Storage (2023) Vol. 77, pp. 109884-109884
Closed Access | Times Cited: 23
Battery State-of-Health Estimation: A Step towards Battery Digital Twins
Vahid Safavi, Najmeh Bazmohammadi, Juan C. Vásquez, et al.
Electronics (2024) Vol. 13, Iss. 3, pp. 587-587
Open Access | Times Cited: 14
Multi-objective optimization estimation of state of health for lithium-ion battery based on constant current charging profile
Wenzhen Hu, Chuang Zhang, Suzhen Liu, et al.
Journal of Energy Storage (2024) Vol. 83, pp. 110785-110785
Closed Access | Times Cited: 7
Probabilistic lithium-ion battery state-of-health prediction using convolutional neural networks and Gaussian process regression
S. P. Buchanan, Curran Crawford
Journal of Energy Storage (2023) Vol. 76, pp. 109799-109799
Closed Access | Times Cited: 17
A global–local context embedding learning based sequence-free framework for state of health estimation of lithium-ion battery
Zhengyi Bao, Jiahao Nie, Huipin Lin, et al.
Energy (2023) Vol. 282, pp. 128306-128306
Closed Access | Times Cited: 16
Transfer learning from synthetic data for open-circuit voltage curve reconstruction and state of health estimation of lithium-ion batteries from partial charging segments
Tobias Hofmann, Jacob Hamar, Bastian Mager, et al.
Energy and AI (2024) Vol. 17, pp. 100382-100382
Open Access | Times Cited: 5
Battery health state prediction based on lightweight neural networks: A review
Longlong Zhang, Shanshuai Wang, Shi Wang, et al.
Ionics (2024)
Closed Access | Times Cited: 5
State of health estimation of lithium-ion battery during fast charging process based on BiLSTM-Transformer
Ziyang Li, Xiangwen Zhang, Wei Gao
Energy (2024) Vol. 311, pp. 133418-133418
Closed Access | Times Cited: 5
A Hybrid Deep Learning Method for the Estimation of the State of Health of Lithium‐Ion Batteries
Shuo Cheng
International Transactions on Electrical Energy Systems (2025) Vol. 2025, Iss. 1
Open Access
Advancement in battery health monitoring methods for electric vehicles: Battery modelling, state estimation, and internet-of-things based methods
Mohammad Waseem, G. Sree Lakshmi, Mohammad Amir, et al.
Journal of Power Sources (2025) Vol. 633, pp. 236414-236414
Closed Access
State-of-Health Prediction of Lithium-Ion Batteries Using Feature Fusion and a Hybrid Neural Network Model
Yang Li, Guoqiang Gao, Kui Chen, et al.
Energy (2025), pp. 135163-135163
Closed Access
Physics-constrained transfer learning: Open-circuit voltage curve reconstruction and degradation mode estimation of lithium-ion batteries
Tobias Hofmann, Jacob Hamar, Bastian Mager, et al.
Energy and AI (2025), pp. 100493-100493
Open Access
Estimating the state of health of lithium-ion batteries based on a probability density function
Zhicheng Lin, Yongxiang Cai, Wei Liu, et al.
International Journal of Electrochemical Science (2023) Vol. 18, Iss. 6, pp. 100137-100137
Open Access | Times Cited: 15
Application of serum SERS technology combined with deep learning algorithm in the rapid diagnosis of immune diseases and chronic kidney disease
Jie Yang, Xiaomei Chen, Cainan Luo, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 15
Multi-step time series forecasting on the temperature of lithium-ion batteries
Zijing Wan, Yilin Kang, Renwei Ou, et al.
Journal of Energy Storage (2023) Vol. 64, pp. 107092-107092
Closed Access | Times Cited: 14
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