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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:

Lithium-Ion Battery Calendar Health Prognostics Based on Knowledge-Data-Driven Attention
Tianyu Hu, Huimin Ma, Kailong Liu, et al.
IEEE Transactions on Industrial Electronics (2022) Vol. 70, Iss. 1, pp. 407-417
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Towards Long Lifetime Battery: AI-Based Manufacturing and Management
Kailong Liu, Zhongbao Wei, Chenghui Zhang, et al.
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 9, Iss. 7, pp. 1139-1165
Closed Access | Times Cited: 183
Critical summary and perspectives on state-of-health of lithium-ion battery
Bo Yang, Yucun Qian, Qiang Li, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 190, pp. 114077-114077
Closed Access | Times Cited: 53
Deep learning enhanced lithium-ion battery nonlinear fading prognosis
Shanling Ji, Jianxiong Zhu, Zhiyang Lyu, et al.
Journal of Energy Chemistry (2023) Vol. 78, pp. 565-573
Closed Access | Times Cited: 43
Interpretable machine learning for battery capacities prediction and coating parameters analysis
Kailong Liu, Mona Faraji Niri, Geanina Apachitei, et al.
Control Engineering Practice (2022) Vol. 124, pp. 105202-105202
Open Access | Times Cited: 62
Multilevel Data-Driven Battery Management: From Internal Sensing to Big Data Utilization
Zhongbao Wei, Kailong Liu, Xinghua Liu, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 9, Iss. 4, pp. 4805-4823
Open Access | Times Cited: 22
Data and domain knowledge dual‐driven artificial intelligence: Survey, applications, and challenges
Jing Nie, Jiachen Jiang, Yang Li, et al.
Expert Systems (2023) Vol. 42, Iss. 1
Open Access | Times Cited: 21
Advancing Lithium-Ion Battery Health Prognostics With Deep Learning: A Review and Case Study
Mohamed Massaoudi, Haitham Abu‐Rub, Ali Ghrayeb
IEEE Open Journal of Industry Applications (2024) Vol. 5, pp. 43-62
Open Access | Times Cited: 7
Research Advances on Lithium‐Ion Batteries Calendar Life Prognostic Models
Tao Pan, Yujie Li, Ziqing Yao, et al.
Carbon Neutralization (2025) Vol. 4, Iss. 1
Open Access
State-of-Health Estimation for Lithium-Ion Battery Based on an Attention-Based CNN-GRU Model with Reconstructed Feature Series
Baolei Liu, Jinli Xu, Wei Xia
International Journal of Energy Research (2023) Vol. 2023, pp. 1-13
Open Access | Times Cited: 15
State of health prediction for Lithium-Ion batteries using extended long Short-Term memory network and frequency enhanced channel attention mechanism with Variational mode Decomposition
Nan Xiang, Tianyu Zhang, Yu Liu
Measurement (2025), pp. 117084-117084
Closed Access
Physically enhanced neural network for lithium-ion battery state of health estimation
Ziao Zhou, Yuning Jiang, Ting Wang, et al.
Journal of Energy Storage (2025) Vol. 117, pp. 115959-115959
Closed Access
Capacity Degradation Assessment of Lithium-Ion Battery Considering Coupling Effects of Calendar and Cycling Aging
Xingchen Liu, Zhiyong Hu, Xin Wang, et al.
IEEE Transactions on Automation Science and Engineering (2023) Vol. 21, Iss. 3, pp. 3052-3064
Closed Access | Times Cited: 11
Generative learning assisted state-of-health estimation for sustainable battery recycling with random retirement conditions
Shengyu Tao, Ruifei Ma, Zixi Zhao, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
A Hybrid Data-Driven Approach for Multistep Ahead Prediction of State of Health and Remaining Useful Life of Lithium-Ion Batteries
Muhammad Umair Ali, Amad Zafar, Haris Masood, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 14
A Self-Adaptive Physics-Informed Gated Recurrent Unit Neural Networks Model for Estimating the Lifetime of Li-ion Batteries
Mohammad AlShaikh Saleh, Alamera Nouran Alquennah, Ali Ghrayeb, et al.
(2024)
Open Access | Times Cited: 2
Prediction of Automatic Scram during Abnormal Conditions of Nuclear Power Plants Based on Long Short-Term Memory (LSTM) and Dropout
Hanying Chen, Puzhen Gao, Sichao Tan, et al.
Science and Technology of Nuclear Installations (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 5
A Machine-Learning-Based Approach to Analyse the Feature Importance and Predict the Electrode Mass Loading of a Solid-State Battery
Wenming Dai, Yang Xiang, Wenyi Zhou, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 2, pp. 72-72
Open Access | Times Cited: 1
A Physics-Informed Hybrid Data-Driven Approach with Generative Electrode-Level Features for Lithium-Ion Battery Health Prognostics
Shuxin Zhang, Zhitao Liu, Yan Xu, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 4857-4871
Closed Access | Times Cited: 1
A new state of charge estimation technique of lithium-ion battery using adaptive extended Kalman filter and artificial neural network
Syed Najeeb Ali Kazmi, Abasin Ulasyar, Abraiz Khattak, et al.
Transactions of the Institute of Measurement and Control (2022) Vol. 45, Iss. 4, pp. 747-760
Closed Access | Times Cited: 7
Electric Vehicle Battery-Connected Parallel Distribution Generators for Intelligent Demand Management in Smart Microgrids
Ali M. Jasim, Basil H. Jasim, Bogdan-Constantin Neagu, et al.
Energies (2023) Vol. 16, Iss. 6, pp. 2570-2570
Open Access | Times Cited: 4
A two-stage deep learning framework for early-stage lifetime prediction for lithium-ion batteries with consideration of features from multiple cycles
Jiwei Yao, Kody M. Powell, Tao Gao
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 5
A Hybrid Data-Driven Method to Predict Battery Capacity of Medical Devices and Analyze Component Effects
Run Fang, Chengsheng Liao, Hong Quan, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 3
Fault Diagnosis and Prognostics of Stochastic Distribution Systems
Youxuan Gao, Lina Yao, Yuan‐Cheng Sun
IEEE Transactions on Circuits & Systems II Express Briefs (2024) Vol. 71, Iss. 7, pp. 3378-3382
Closed Access
Comprehensive testing technology for new energy vehicle power batteries based on improved particle swarm optimization
Hongxing Liu, Yi Liang
Energy Informatics (2024) Vol. 7, Iss. 1
Open Access
Machine Learning Methods for the Design of Battery Manufacturing Processes
Kailong Liu, Mona Faraji Niri, Geanina Apachitei, et al.
Topics in applied physics (2024), pp. 269-292
Closed Access
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