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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:

Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Conditional Variational Autoencoders-Particle Filter
Ruihua Jiao, Kaixiang Peng, Jie Dong
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 69, Iss. 11, pp. 8831-8843
Closed Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

A critical review of improved deep learning methods for the remaining useful life prediction of lithium-ion batteries
Shunli Wang, Siyu Jin, De‐Kui Bai, et al.
Energy Reports (2021) Vol. 7, pp. 5562-5574
Open Access | Times Cited: 210
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
Prognostics and health management of Lithium-ion battery using deep learning methods: A review
Ying Zhang, Yan‐Fu Li
Renewable and Sustainable Energy Reviews (2022) Vol. 161, pp. 112282-112282
Closed Access | Times Cited: 156
Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective
Yuxin Wen, Md Fashiar Rahman, Honglun Xu, et al.
Measurement (2021) Vol. 187, pp. 110276-110276
Open Access | Times Cited: 146
Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects
Mohamed Massaoudi, Haitham Abu‐Rub, Shady S. Refaat, et al.
IEEE Access (2021) Vol. 9, pp. 54558-54578
Open Access | Times Cited: 132
Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues and prospects
Molla Shahadat Hossain Lipu, Shaheer Ansari, Md. Sazal Miah, et al.
Journal of Energy Storage (2022) Vol. 55, pp. 105752-105752
Closed Access | Times Cited: 108
A novel remaining useful life prediction method for lithium-ion battery based on long short-term memory network optimized by improved sparrow search algorithm
Yiwei Liu, Jing Sun, Yunlong Shang, et al.
Journal of Energy Storage (2023) Vol. 61, pp. 106645-106645
Closed Access | Times Cited: 88
Data-Driven State of Charge Estimation for Power Battery With Improved Extended Kalman Filter
Xingtao Liu, Qiule Li, Li Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 46
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
Capacity estimation of lithium-ion batteries based on data aggregation and feature fusion via graph neural network
Zhe Wang, Fangfang Yang, Qiang Xu, et al.
Applied Energy (2023) Vol. 336, pp. 120808-120808
Closed Access | Times Cited: 40
A review of expert hybrid and co-estimation techniques for SOH and RUL estimation in battery management system with electric vehicle application
Turki Alsuwian, Shaheer Ansari, Muhammad Ammirrul Atiqi Mohd Zainuri, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123123-123123
Closed Access | Times Cited: 34
A Critical Review of Online Battery Remaining Useful Lifetime Prediction Methods
Shunli Wang, Siyu Jin, Dan Deng, et al.
Frontiers in Mechanical Engineering (2021) Vol. 7
Open Access | Times Cited: 70
A Review of Equivalent Circuit Model Based Online State of Power Estimation for Lithium-Ion Batteries in Electric Vehicles
Ruohan Guo, Weixiang Shen
Vehicles (2021) Vol. 4, Iss. 1, pp. 1-29
Open Access | Times Cited: 65
Transfer Learning-Based Hybrid Remaining Useful Life Prediction for Lithium-Ion Batteries Under Different Stresses
Dawei Pan, Hengfeng Li, Shaojun Wang
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 63
A hybrid approach for remaining useful life prediction of lithium-ion battery with Adaptive Levy Flight optimized Particle Filter and Long Short-Term Memory network
Yong Zhang, Liaogehao Chen, Yi Li, et al.
Journal of Energy Storage (2021) Vol. 44, pp. 103245-103245
Closed Access | Times Cited: 61
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
Degradation Curve Prediction of Lithium-Ion Batteries Based on Knee Point Detection Algorithm and Convolutional Neural Network
Muhammad Haris, Muhammad Noman Hasan, Shiyin Qin
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 53
A Systematic Guide for Predicting Remaining Useful Life with Machine Learning
Tarek Berghout, Mohamed Benbouzid
Electronics (2022) Vol. 11, Iss. 7, pp. 1125-1125
Open Access | Times Cited: 51
Remaining useful life prediction of lithium-ion batteries based on attention mechanism and bidirectional long short-term memory network
Zhen Zhang, Wentao Zhang, Kuo Yang, et al.
Measurement (2022) Vol. 204, pp. 112093-112093
Closed Access | Times Cited: 48
Deep feature extraction in lifetime prognostics of lithium-ion batteries: Advances, challenges and perspectives
Chuan Li, Huahua Zhang, Ping Ding, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 184, pp. 113576-113576
Closed Access | Times Cited: 39
Weight optimized unscented Kalman filter for degradation trend prediction of lithium-ion battery with error compensation strategy
Yong Zhang, Lei Tu, Zhiwei Xue, et al.
Energy (2022) Vol. 251, pp. 123890-123890
Closed Access | Times Cited: 38
DeepThink IoT: The Strength of Deep Learning in Internet of Things
Divyansh Thakur, Jaspal Kaur Saini, Srikant Srinivasan
Artificial Intelligence Review (2023) Vol. 56, Iss. 12, pp. 14663-14730
Closed Access | Times Cited: 27
Data driven health and life prognosis management of supercapacitor and lithium-ion battery storage systems: Developments, implementation aspects, limitations, and future directions
Molla Shahadat Hossain Lipu, M. Rahman, Muhamad Mansor, et al.
Journal of Energy Storage (2024) Vol. 98, pp. 113172-113172
Closed 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
Hybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directions
Molla Shahadat Hossain Lipu, M. Rahman, Muhamad Mansor, et al.
Journal of Energy Storage (2024) Vol. 92, pp. 112107-112107
Closed Access | Times Cited: 8
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