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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 Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management
Shahid A. Hasib, Saiful Islam, Ripon K. Chakrabortty, et al.
IEEE Access (2021) Vol. 9, pp. 86166-86193
Open Access | Times Cited: 163

Showing 1-25 of 163 citing articles:

Lithium-ion battery capacity and remaining useful life prediction using board learning system and long short-term memory neural network
Shaishai Zhao, Chaolong Zhang, Yuanzhi Wang
Journal of Energy Storage (2022) Vol. 52, pp. 104901-104901
Closed Access | Times Cited: 181
Health prognostics for lithium-ion batteries: mechanisms, methods, and prospects
Yunhong Che, Xiaosong Hu, Xianke Lin, et al.
Energy & Environmental Science (2023) Vol. 16, Iss. 2, pp. 338-371
Open Access | Times Cited: 172
Online remaining useful life prediction of lithium-ion batteries using bidirectional long short-term memory with attention mechanism
Fu‐Kwun Wang, Zemenu Endalamaw Amogne, Jia‐Hong Chou, et al.
Energy (2022) Vol. 254, pp. 124344-124344
Closed Access | Times Cited: 100
A Review of Modeling, Management, and Applications of Grid-Connected Li-Ion Battery Storage Systems
Mahdi Rouholamini, Caisheng Wang, M.H. Nehrir, et al.
IEEE Transactions on Smart Grid (2022) Vol. 13, Iss. 6, pp. 4505-4524
Open Access | Times Cited: 89
A Review of Modern Machine Learning Techniques in the Prediction of Remaining Useful Life of Lithium-Ion Batteries
Prabhakar Sharma, Bhaskor Jyoti Bora
Batteries (2022) Vol. 9, Iss. 1, pp. 13-13
Open Access | Times Cited: 68
Artificial Intelligence for Predictive Maintenance Applications: Key Components, Trustworthiness, and Future Trends
Ayşegül Uçar, Mehmet Karaköse, Necim Kırımça
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 898-898
Open Access | Times Cited: 55
Review of State Estimation and Remaining Useful Life Prediction Methods for Lithium–Ion Batteries
Jiahui Zhao, Yong Zhu, Bin Zhang, et al.
Sustainability (2023) Vol. 15, Iss. 6, pp. 5014-5014
Open Access | Times Cited: 41
State of Health (SoH) estimation methods for second life lithium-ion battery—Review and challenges
S Vignesh, Hang Seng, Jeyraj Selvaraj, et al.
Applied Energy (2024) Vol. 369, pp. 123542-123542
Closed Access | Times Cited: 32
Machine learning for battery systems applications: Progress, challenges, and opportunities
Zahra Nozarijouybari, Hosam K. Fathy
Journal of Power Sources (2024) Vol. 601, pp. 234272-234272
Closed Access | Times Cited: 27
Battery Energy Storage Systems: A Review of Energy Management Systems and Health Metrics
Solmaz Nazaralizadeh, P. Banerjee, Anurag K. Srivastava, et al.
Energies (2024) Vol. 17, Iss. 5, pp. 1250-1250
Open Access | Times Cited: 23
Li-ion battery capacity prediction using improved temporal fusion transformer model
William Gomez, Fu‐Kwun Wang, Jia‐Hong Chou
Energy (2024) Vol. 296, pp. 131114-131114
Closed Access | Times Cited: 22
Remaining useful life prediction for lithium-ion battery storage system: A comprehensive review of methods, key factors, issues and future outlook
Shaheer Ansari, Afida Ayob, Molla Shahadat Hossain Lipu, et al.
Energy Reports (2022) Vol. 8, pp. 12153-12185
Open Access | Times Cited: 57
A review of multi-state joint estimation for lithium-ion battery: Research status and suggestions
Fang Liu, Dan Yu, Chen Shao, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 109071-109071
Closed Access | Times Cited: 35
An Improved Generic Hybrid Prognostic Method for RUL Prediction Based on PF-LSTM Learning
Ke Xue, Jun Yang, Ming Yang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Closed Access | Times Cited: 30
ICNCS: Internal Cascaded Neuromorphic Computing System for Fast Electric Vehicle State-of-Charge Estimation
Zhekang Dong, Xiaoyue Ji, Jiayang Wang, et al.
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 4311-4320
Closed Access | Times Cited: 30
Nonlinear aging knee-point prediction for lithium-ion batteries faced with different application scenarios
Heze You, Jiangong Zhu, Xueyuan Wang, et al.
eTransportation (2023) Vol. 18, pp. 100270-100270
Closed Access | Times Cited: 26
Machine learning promotes the development of all-solid-state batteries
Yong Qiu, Xu Zhang, Yun Tian, et al.
Chinese Journal of Structural Chemistry (2023) Vol. 42, Iss. 9, pp. 100118-100118
Closed Access | Times Cited: 23
Data‐Driven Battery Characterization and Prognosis: Recent Progress, Challenges, and Prospects
Shanling Ji, Jianxiong Zhu, Yaxin Yang, et al.
Small Methods (2024) Vol. 8, Iss. 7
Closed Access | Times Cited: 13
Prediction of nonlinear degradation knee-point and remaining useful life for lithium-ion batteries using relaxation voltage
Wenjun Fan, Jiangong Zhu, Dongdong Qiao, et al.
Energy (2024) Vol. 294, pp. 130900-130900
Closed Access | Times Cited: 13
Probabilistic machine learning for battery health diagnostics and prognostics—review and perspectives
Adam Thelen, Xun Huan, Noah H. Paulson, et al.
npj Materials Sustainability (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 11
Data-driven autoencoder neural network for onboard BMS Lithium-ion battery degradation prediction
Meghana Sudarshan, Alexey Serov, Casey M. Jones, et al.
Journal of Energy Storage (2024) Vol. 82, pp. 110575-110575
Closed Access | Times Cited: 10
Lithium-ion battery degradation: Comprehensive cycle ageing data and analysis for commercial 21700 cells
Niall Kirkaldy, Mohammad Amin Samieian, Gregory J. Offer, et al.
Journal of Power Sources (2024) Vol. 603, pp. 234185-234185
Open Access | Times Cited: 10
Empowering Electric Vehicles Batteries: A Comprehensive Look at the Application and Challenges of Second-Life Batteries
Seyedreza Azizighalehsari, P. Venugopal, Deepak P. Singh, et al.
Batteries (2024) Vol. 10, Iss. 5, pp. 161-161
Open Access | Times Cited: 7
Electrochemical models: methods and applications for safer lithium-ion battery operation
Sankhadeep Sarkar, Syeda Zohra Halim, Mahmoud M. El‐Halwagi, et al.
Journal of The Electrochemical Society (2022) Vol. 169, Iss. 10, pp. 100501-100501
Closed Access | Times Cited: 30
Tabular Open Circuit Voltage Modelling of Li-Ion Batteries for Robust SOC Estimation
Sneha Sundaresan, Bharath Devabattini, Pradeep Kumar, et al.
Energies (2022) Vol. 15, Iss. 23, pp. 9142-9142
Open Access | Times Cited: 28
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