OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Transfer-Learning-Based State-of-Health Estimation for Lithium-Ion Battery With Cycle Synchronization
Kate Qi Zhou, Yan Qin, Chau Yuen
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 2, pp. 692-702
Open Access | Times Cited: 24

Showing 24 citing articles:

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: 23

Progress in estimating the state of health using transfer learning–based electrochemical impedance spectroscopy of lithium-ion batteries
Guangheng Qi, Guangwen Du, Kai Wang
Ionics (2025) Vol. 31, Iss. 3, pp. 2337-2349
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

Lithium-Ion Batteries SOH Estimation With Multimodal Multilinear Feature Fusion
Mingqiang Lin, Yuqiang You, Jinhao Meng, et al.
IEEE Transactions on Energy Conversion (2023) Vol. 38, Iss. 4, pp. 2959-2968
Closed Access | Times Cited: 29

Digital Twin for Real-time Li-Ion Battery State of Health Estimation With Partially Discharged Cycling Data
Yan Qin, Anushiya Arunan, Chau Yuen
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 5, pp. 7247-7257
Open Access | Times Cited: 27

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

Degradation Pattern Recognition and Features Extrapolation for Battery Capacity Trajectory Prediction
Jinwen Li, Zhongwei Deng, Yunhong Che, et al.
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 3, pp. 7565-7579
Closed Access | Times Cited: 13

Lithium-Ion Battery State of Health Estimation by Matrix Profile Empowered Online Knee Onset Identification
Kate Qi Zhou, Yan Qin, Chau Yuen
IEEE Transactions on Transportation Electrification (2023) Vol. 10, Iss. 1, pp. 1935-1946
Closed Access | Times Cited: 12

A survey on few-shot learning for remaining useful life prediction
Renpeng Mo, Han Zhou, Hongpeng Yin, et al.
Reliability Engineering & System Safety (2025), pp. 110850-110850
Closed Access

State of health estimation for lithium-ion batteries based on improved bat algorithm optimization kernel extreme learning machine
Xiangbin Li, Diqing Fan, Xintian Liu, et al.
Journal of Energy Storage (2024) Vol. 101, pp. 113756-113756
Closed Access | Times Cited: 2

Histogram-Based Gradient Boosting Tree: A Federated Learning Approach for Collaborative Fault Diagnosis
Liqiao Xia, Pai Zheng, Jinjie Li, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 4, pp. 2637-2648
Closed Access | Times Cited: 6

Comparison-Transfer Learning Based State-of-Health Estimation for Lithium-Ion Battery
Wei Liu, Songchen Gao, Wendi Yan
Journal of Electrochemical Energy Conversion and Storage (2024) Vol. 21, Iss. 4
Closed Access | Times Cited: 1

Artificial Intelligence in Electric Vehicle Battery Disassembly: A Systematic Review
Zekai Ai, A.Y.C. Nee, S. K. Ong
Automation (2024) Vol. 5, Iss. 4, pp. 484-507
Open Access | Times Cited: 1

A Hybrid Deep Learning Model-Based Remaining Useful Life Estimation for Reed Relay With Degradation Pattern Clustering
Chinthaka Gamanayake, Yan Qin, Chau Yuen, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 6, pp. 7401-7413
Open Access | Times Cited: 6

A neural-driven stochastic degradation model for state-of-health estimation of lithium-ion battery
Zhendong Long, Yuan Lian, Aijun Yin, et al.
Journal of Energy Storage (2023) Vol. 79, pp. 110248-110248
Closed Access | Times Cited: 3

Energy Status Recovery using Recurrent SVR Framework with Data Loss Conditions
Kang Eun Jeon, James She, Simon Wong
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 12, pp. 12035-12045
Closed Access

Machine Learning in Lithium-Ion Battery: Applications, Challenges, and Future Trends
Alireza Valizadeh, Mohammad Hossein Amirhosseini
SN Computer Science (2024) Vol. 5, Iss. 6
Open Access

Path signature-based life prognostics of Li-ion battery using pulse test data
Rasheed Ibraheem, Philipp Dechent, Gonçalo dos Reis
Applied Energy (2024) Vol. 378, pp. 124820-124820
Open Access

Learning the Ageing Behaviour of Lithium-Ion Batteries Using Electric Vehicle Fleet Analysis
Thomas Lehmann, Erik Berendes, Richard Kratzing, et al.
Batteries (2024) Vol. 10, Iss. 12, pp. 432-432
Open Access

Transfer Learning-Based State of Health Estimation for Lithium-Ion Battery at Varying Temperatures
Qingqing Huang, Jiang Liu, Wei Dai, et al.
TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON) (2024), pp. 866-869
Closed Access

2023 Index IEEE/ASME Transactions on Mechatronics Vol.28

IEEE/ASME Transactions on Mechatronics (2023) Vol. 28, Iss. 6, pp. 3591-3660
Open Access

Page 1

Scroll to top