Open Access Helper

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:

Cloud-Based Deep Learning for Co-Estimation of Battery State of Charge and State of Health
Dapai Shi, Jingyuan Zhao, Zhenghong Wang, et al.
Energies (2023) Vol. 16, Iss. 9, pp. 3855-3855
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

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
Specialized deep neural networks for battery health prognostics: Opportunities and challenges
Jingyuan Zhao, Xuebing Han, Minggao Ouyang, et al.
Journal of Energy Chemistry (2023) Vol. 87, pp. 416-438
Closed Access | Times Cited: 56
Battery safety: Machine learning-based prognostics
Jingyuan Zhao, Xuning Feng, Quanquan Pang, et al.
Progress in Energy and Combustion Science (2024) Vol. 102, pp. 101142-101142
Open Access | Times Cited: 53
Battery safety: Fault diagnosis from laboratory to real world
Jingyuan Zhao, Xuning Feng, Manh‐Kien Tran, et al.
Journal of Power Sources (2024) Vol. 598, pp. 234111-234111
Open Access | Times Cited: 48
Battery fault diagnosis and failure prognosis for electric vehicles using spatio-temporal transformer networks
Jingyuan Zhao, Xuning Feng, Junbin Wang, et al.
Applied Energy (2023) Vol. 352, pp. 121949-121949
Closed Access | Times Cited: 42
Cloud-Based Artificial Intelligence Framework for Battery Management System
Dapai Shi, Jingyuan Zhao, Chika Eze, et al.
Energies (2023) Vol. 16, Iss. 11, pp. 4403-4403
Open Access | Times Cited: 39
Review on Modeling and SOC/SOH Estimation of Batteries for Automotive Applications
Pierpaolo Dini, Antonio Colicelli, Sergio Saponara
Batteries (2024) Vol. 10, Iss. 1, pp. 34-34
Open Access | Times Cited: 36
Insights and reviews on battery lifetime prediction from research to practice
Xudong Qu, Dapai Shi, Jingyuan Zhao, et al.
Journal of Energy Chemistry (2024) Vol. 94, pp. 716-739
Closed Access | Times Cited: 24
AI on Wheels: Bibliometric Approach to Mapping of Research on Machine Learning and Deep Learning in Electric Vehicles
Adrian Domenteanu, Liviu‐Adrian Cotfas, Paul Diaconu, et al.
Electronics (2025) Vol. 14, Iss. 2, pp. 378-378
Open Access | Times Cited: 2
Fault prognosis of Li-ion batteries in electric vehicles: Recent progress, challenges and prospects
Heng Li, Muaaz Bin Kaleem, Kailong Liu, et al.
Journal of Energy Storage (2025) Vol. 116, pp. 116002-116002
Closed Access | Times Cited: 1
Spatial-Temporal Self-Attention Transformer Networks for Battery State of Charge Estimation
Dapai Shi, Jingyuan Zhao, Zhenghong Wang, et al.
Electronics (2023) Vol. 12, Iss. 12, pp. 2598-2598
Open Access | Times Cited: 25
Battery health diagnostics: Bridging the gap between academia and industry
Zhenghong Wang, Dapai Shi, Jingyuan Zhao, et al.
eTransportation (2023) Vol. 19, pp. 100309-100309
Closed Access | Times Cited: 21
Artificial intelligence-driven real-world battery diagnostics
Jingyuan Zhao, Xudong Qu, Yuyan Wu, et al.
Energy and AI (2024) Vol. 18, pp. 100419-100419
Open Access | Times Cited: 11
CNN-DBLSTM: A long-term remaining life prediction framework for lithium-ion battery with small number of samples
Zhen Jia, Zhifei Li, Ke Zhao, et al.
Journal of Energy Storage (2024) Vol. 97, pp. 112947-112947
Closed Access | Times Cited: 10
Specialized Convolutional Transformer Networks for Estimating Battery Health via Transfer Learning
Jingyuan Zhao, Zhenghong Wang
Energy storage materials (2024) Vol. 71, pp. 103668-103668
Closed Access | Times Cited: 9
Advancing State of Charge Management in Electric Vehicles With Machine Learning: A Technological Review
Arash Mousaei, Yahya Naderi, I. Safak Bayram
IEEE Access (2024) Vol. 12, pp. 43255-43283
Open Access | Times Cited: 8
Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries
Seyed Saeed Madani, Carlos Ziebert, Parisa Vahdatkhah, et al.
Batteries (2024) Vol. 10, Iss. 6, pp. 204-204
Open Access | Times Cited: 8
Battery Engineering Safety Technologies (BEST): Mechanisms, Modes, Metrics, Modelling and Mitigation
Jingyuan Zhao, Zhilong Lv, Di Li, et al.
eTransportation (2024), pp. 100364-100364
Closed Access | Times Cited: 6
A novel positional encoded attention-based Long short-term memory network for state of charge estimation of lithium-ion battery
Syed Abbas Ali Shah, Sajawal Gul Niazi, Shangqi Deng, et al.
Journal of Power Sources (2023) Vol. 590, pp. 233788-233788
Closed Access | Times Cited: 14
Comprehensive Comparative Analysis of Deep-Learning-Based State-of-Charge Estimation Algorithms for Cloud-Based Lithium-Ion Battery Management Systems
Dominic Karnehm, Akash Samanta, Latha Anekal, et al.
IEEE Journal of Emerging and Selected Topics in Industrial Electronics (2024) Vol. 5, Iss. 2, pp. 597-604
Open Access | Times Cited: 4
Estimation of lithium-ion battery electrochemical properties from equivalent circuit model parameters using machine learning
Niccolò Nicodemo, Roberto Di Rienzo, Marco Lagnoni, et al.
Journal of Energy Storage (2024) Vol. 99, pp. 113257-113257
Open Access | Times Cited: 4
Predictive pretrained transformer (PPT) for real-time battery health diagnostics
Jingyuan Zhao, Zhenghong Wang, Yuyan Wu, et al.
Applied Energy (2024) Vol. 377, pp. 124746-124746
Closed Access | Times Cited: 4
Opportunities and Challenges in Transformer Neural Networks for Battery State Estimation: Charge, Health, Lifetime, and Safety
Jingyuan Zhao, Xuebing Han, Yuyan Wu, et al.
Journal of Energy Chemistry (2024) Vol. 102, pp. 463-496
Closed Access | Times Cited: 4
Real-world battery diagnostics in Industry 4.0
Xudong Qu, Jingyuan Zhao, Hui Pang, et al.
Green Energy and Intelligent Transportation (2025), pp. 100298-100298
Open Access
Cloud-Based Optimization of a Battery Model Parameter Identification Algorithm for Battery State-of-Health Estimation in Electric Vehicles
Roberto Di Rienzo, Niccolò Nicodemo, Roberto Roncella, et al.
Batteries (2023) Vol. 9, Iss. 10, pp. 486-486
Open Access | Times Cited: 11
Page 1 - Next Page

Scroll to top