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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:

A novel state of health prediction method for battery system in real-world vehicles based on gated recurrent unit neural networks
Jichao Hong, Kerui Li, Fengwei Liang, et al.
Energy (2023) Vol. 289, pp. 129918-129918
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

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
A novel battery abnormality diagnosis method using multi-scale normalized coefficient of variation in real-world vehicles
Jichao Hong, Fengwei Liang, Yingjie Chen, et al.
Energy (2024) Vol. 299, pp. 131475-131475
Closed Access | Times Cited: 7
Aging abnormality detection of lithium-ion batteries combining feature engineering and deep learning
Jingcai Du, Caiping Zhang, Shuowei Li, et al.
Energy (2024) Vol. 297, pp. 131276-131276
Closed Access | Times Cited: 5
A Deep Learning Multi-Feature Based Fusion Model for Predicting the State of Health of Lithium-Ion Batteries
Ankit Sonthalia, Femilda Josephin JS, Edwin Geo Varuvel, et al.
Energy (2025), pp. 134569-134569
Closed Access
Online joint estimation of state of charge and state of health based on equivalent circuit model with limited test time for lithium-ion batteries
Guisheng Chen, Hengyu Zhou, Tingjie Ba, et al.
Sensors and Actuators A Physical (2025), pp. 116250-116250
Closed Access
Stat-of-charge estimation for lithium-ion batteries based on recurrent neural network: Current status and perspectives
Yucheng Zhang, Xiao Tan, Zhenjun Wang
Journal of Energy Storage (2025) Vol. 112, pp. 115575-115575
Closed Access
Big data-driven prognostics and health management of lithium-ion batteries:A review
Kui Chen, Yang Luo, Zhou Long, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 214, pp. 115522-115522
Closed Access
Deep Learning for State of Health Estimation of Lithium-Ion Batteries in Electric Vehicles: A Systematic Review
Chenyuan Liu, Heng Li, Kexin Li, et al.
Energies (2025) Vol. 18, Iss. 6, pp. 1463-1463
Open Access
Novel Battery State of Health Estimation and Lifetime Prediction Method Based on the Catboost Model
Chi Zhang, Jichao Hong, Fengwei Liang, et al.
Energy & Fuels (2024) Vol. 38, Iss. 11, pp. 10310-10323
Closed Access | Times Cited: 4
Fine-Tuned Transfer Learning and Deep Gated Recurrent Unit Methods for State-of-Health Estimation of the Whole Life-Cycle of Lithium-Ion Batteries
Zhenglin Guo, Jian Wang, Qiang Fu, et al.
International Journal of Electrochemical Science (2025), pp. 100931-100931
Open Access
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 capacity fade reliability model for lithium-ion battery packs based on real-vehicle data
Zheng Yifan, Sida Zhou, Zhengjie Zhang, et al.
Energy (2024) Vol. 307, pp. 132782-132782
Closed Access | Times Cited: 3
Research on battery inconsistency evaluation based on improved local outlier factor and fuzzy matrix
Jichao Hong, Kerui Li, Fengwei Liang, et al.
Journal of Energy Storage (2024) Vol. 104, pp. 114572-114572
Closed Access | Times Cited: 2
Accurate State of Health Estimation of Battery System based on Multi-stage Constant Current Charging and Behavior Analysis in Real-world Electric Vehicles
Chengqi She, Yiping Shen, Guangfu Bin, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 97-108
Closed Access | Times Cited: 1
Reservoir properties inversion using attention-based parallel hybrid network integrating feature selection and transfer learning
Jun Wang, Junxing Cao
Energy (2024) Vol. 304, pp. 132069-132069
Closed Access | Times Cited: 1
Estimation and prediction method of lithium battery state of health based on ridge regression and gated recurrent unit
Ziwei Dai, Aikui Li, Wei Sun, et al.
IET Energy Systems Integration (2024)
Open Access | Times Cited: 1
Integrated Mixed Attention U-Net Mechanisms with Multi-Stage Division Strategy Customized for Accurate Estimation of Lithium-Ion Battery State of Health
Xinyu Fan, Xuxu Yang, Feifei Hou
Electronics (2024) Vol. 13, Iss. 16, pp. 3244-3244
Open Access | Times Cited: 1
Battery state of health estimation using an AutoGluon-tabular model incorporating uncertainty quantification
Xiaoyuan Zhang, Mengnan Liu, Yingying Liu
Journal of Energy Storage (2024) Vol. 101, pp. 113920-113920
Closed Access | Times Cited: 1
High-resolution 3D hydrodynamic modeling and comprehensive assessment of tidal current energy resources
Zou Tian, Yajing Gu, Hongwei Liu, et al.
Ocean Engineering (2024) Vol. 313, pp. 119514-119514
Closed Access | Times Cited: 1
Multi-Cycle Charging Information Guided State of Health Estimation for Lithium-Ion Batteries based on Pre-Trained Large Language Model
Zhen Zhang, Yuhao Zhu, Qi Zhang, et al.
Energy (2024), pp. 133993-133993
Closed Access | Times Cited: 1
Robust lithium-ion battery state of health estimation based on recursive feature elimination-deep Bidirectional long short-term memory model using partial charging data
Fengxun Tian, Shuwen Chen, Xin Ji, et al.
International Journal of Electrochemical Science (2024), pp. 100891-100891
Open Access | Times Cited: 1
Joint Prediction of Capacity and Rul for Lithium-Ion Batteries Based on Ceemdan-Sos-Vmd-Lstm
Qiliang Zhang, S. Feng, Jun Liu, et al.
(2024)
Closed Access
Enhancing Model Robustness in Battery Health Prediction through Advanced Input Features
Jamila Hemdani, Laid Degaa, Nassim Rizoug, et al.
(2024), pp. 1-6
Closed Access
Reliability Degradation Analysis from Prognosis and Health Management for Lithium-Ion Batteries on Electric Vehicles
Zheng Yifan, Sida Zhou, Zhengjie Zhang, et al.
(2024)
Closed Access
Strong robust state of health estimation of lithium-ion batteries based on aging feature mechanism analysis and improved mixed kernel least squares support vector regression model
Renjun Feng, Shunli Wang, Chunmei Yu, et al.
Ionics (2024)
Closed Access
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