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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:

State of health estimation for lithium-ion batteries based on hybrid attention and deep learning
Hongqian Zhao, Zheng Chen, Xing Shu, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109066-109066
Closed Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Data-driven lithium-ion batteries capacity estimation based on deep transfer learning using partial segment of charging/discharging data
Jiachi Yao, Te Han
Energy (2023) Vol. 271, pp. 127033-127033
Closed Access | Times Cited: 144
Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection
Yunhong Che, Yusheng Zheng, Florent Forest, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109603-109603
Open Access | Times Cited: 44
Review of battery state estimation methods for electric vehicles-Part II: SOH estimation
Osman Demirci, Sezai Taşkın, Erik Schaltz, et al.
Journal of Energy Storage (2024) Vol. 96, pp. 112703-112703
Closed Access | Times Cited: 28
State of health prediction of lithium-ion batteries under early partial data based on IWOA-BiLSTM with single feature
Yan Ma, Jiaqi Li, Jinwu Gao, et al.
Energy (2024) Vol. 295, pp. 131085-131085
Closed Access | Times Cited: 27
A Multivariate Student- t Process Model for Dependent Tail-weighted Degradation Data
Ancha Xu, Guanqi Fang, Liangliang Zhuang, et al.
IISE Transactions (2024), pp. 1-17
Closed Access | Times Cited: 23
A review on rapid state of health estimation of lithium-ion batteries in electric vehicles
Zuolu Wang, Xiaoyu Zhao, Lei Fu, et al.
Sustainable Energy Technologies and Assessments (2023) Vol. 60, pp. 103457-103457
Open Access | Times Cited: 41
Fast capacity prediction of lithium-ion batteries using aging mechanism-informed bidirectional long short-term memory network
Xiaodong Xu, Shengjin Tang, Xuebing Han, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109185-109185
Closed Access | Times Cited: 37
State-of-health estimation method for fast-charging lithium-ion batteries based on stacking ensemble sparse Gaussian process regression
Fang Li, Yongjun Min, Ying Zhang, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109787-109787
Closed Access | Times Cited: 33
State-of-health and remaining-useful-life estimations of lithium-ion battery based on temporal convolutional network-long short-term memory
Chaoran Li, Xianjie Han, Qiang Zhang, et al.
Journal of Energy Storage (2023) Vol. 74, pp. 109498-109498
Closed Access | Times Cited: 23
Comprehensive Review of Machine Learning, Deep Learning, and Digital Twin Data-Driven Approaches in Battery Health Prediction of Electric Vehicles
A. Pravin Renold, Neeraj Singh Kathayat
IEEE Access (2024) Vol. 12, pp. 43984-43999
Open Access | Times Cited: 11
State of health estimation for lithium-ion batteries using a hybrid neural network model with Multi-scale Convolutional Attention Mechanism
Tao He, Ziyang Gong
Journal of Power Sources (2024) Vol. 609, pp. 234680-234680
Closed Access | Times Cited: 10
Lithium-Ion Battery State of Health Estimation Using a Hybrid Model with Electrochemical Impedance Spectroscopy
Wu Jian, Jinhao Meng, Mingqiang Lin, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110450-110450
Closed Access | Times Cited: 10
Capacity prediction of lithium-ion batteries with fusing aging information
Fengfei Wang, Shengjin Tang, Xuebing Han, et al.
Energy (2024) Vol. 293, pp. 130743-130743
Closed Access | Times Cited: 9
An optimized multi-segment long short-term memory network strategy for power lithium-ion battery state of charge estimation adaptive wide temperatures
Donglei Liu, Shunli Wang, Yongcun Fan, et al.
Energy (2024) Vol. 304, pp. 132048-132048
Closed Access | Times Cited: 9
A novel method for state of health estimation of lithium-ion batteries based on fractional-order differential voltage-capacity curve
Xugang Zhang, Xiyuan Gao, Linchao Duan, et al.
Applied Energy (2024) Vol. 377, pp. 124404-124404
Closed Access | Times Cited: 9
Continual hybrid model learning for lithium-ion batteries
Habtamu Hailemichael, Beshah Ayalew
Journal of Energy Storage (2025) Vol. 109, pp. 115105-115105
Closed Access | Times Cited: 1
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
State of health estimation for lithium-ion batteries based on fragmented charging data and improved gated recurrent unit neural network
Zheng Chen, Peng Yue, Jiangwei Shen, et al.
Journal of Energy Storage (2025) Vol. 115, pp. 115952-115952
Closed Access | Times Cited: 1
State of Health Assessment for Lithium-Ion Batteries Using Incremental Energy Analysis and Bidirectional Long Short-Term Memory
Yanmei Li, Laijin Luo, Chaolong Zhang, et al.
World Electric Vehicle Journal (2023) Vol. 14, Iss. 7, pp. 188-188
Open Access | Times Cited: 21
Online surface temperature prediction and abnormal diagnosis of lithium-ion batteries based on hybrid neural network and fault threshold optimization
Hongqian Zhao, Zheng Chen, Xing Shu, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109798-109798
Closed Access | Times Cited: 18
State of energy estimation for lithium-ion batteries using adaptive fuzzy control and forgetting factor recursive least squares combined with AEKF considering temperature
Donglei Liu, Shunli Wang, Yongcun Fan, et al.
Journal of Energy Storage (2023) Vol. 70, pp. 108040-108040
Open Access | Times Cited: 17
State of health estimation of LIB based on discharge section with multi-model combined
Peng Xu, Yuan Huang, Wenwen Ran, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25808-e25808
Open Access | Times Cited: 7
Machine learning assisted multi-objective design optimization for battery thermal management system
Xianlong Zhou, Weilong Guo, Xiangyu Shi, et al.
Applied Thermal Engineering (2024) Vol. 253, pp. 123826-123826
Closed Access | Times Cited: 6
A deep learning approach incorporating attention mechanism and transfer learning for lithium-ion battery lifespan prediction
Wanjie Zhao, Wei Ding, Shujing Zhang, et al.
Journal of Energy Storage (2023) Vol. 75, pp. 109647-109647
Closed Access | Times Cited: 14
Multi-scenarios transferable learning framework with few-shot for early lithium-ion battery lifespan trajectory prediction
Jinhao Meng, Yuqiang You, Mingqiang Lin, et al.
Energy (2023) Vol. 286, pp. 129682-129682
Closed Access | Times Cited: 13
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