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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 hybrid transfer learning scheme for remaining useful life prediction and cycle life test optimization of different formulation Li-ion power batteries
Jian Ma, Pengchao Shang, Xinyu Zou, et al.
Applied Energy (2020) Vol. 282, pp. 116167-116167
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries
Shunli Wang, Yongcun Fan, Siyu Jin, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108920-108920
Open Access | Times Cited: 336
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
A review of deep learning approach to predicting the state of health and state of charge of lithium-ion batteries
Kai Luo, Xiang Chen, Huiru Zheng, et al.
Journal of Energy Chemistry (2022) Vol. 74, pp. 159-173
Open Access | Times Cited: 153
Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning
Guijun Ma, Songpei Xu, Benben Jiang, et al.
Energy & Environmental Science (2022) Vol. 15, Iss. 10, pp. 4083-4094
Open Access | Times Cited: 103
Bayesian transfer learning with active querying for intelligent cross-machine fault prognosis under limited data
Rong Zhu, Weiwen Peng, Dong Wang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 183, pp. 109628-109628
Closed Access | Times Cited: 81
A Hybrid Battery Equivalent Circuit Model, Deep Learning, and Transfer Learning for Battery State Monitoring
Su Shaosen, Wei Li, Jianhui Mou, et al.
IEEE Transactions on Transportation Electrification (2022) Vol. 9, Iss. 1, pp. 1113-1127
Closed Access | Times Cited: 67
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
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
Application of Digital Twin in Smart Battery Management Systems
Wenwen Wang, Jun Wang, Jinpeng Tian, et al.
Chinese Journal of Mechanical Engineering (2021) Vol. 34, Iss. 1
Open Access | Times Cited: 89
End-to-end capacity estimation of Lithium-ion batteries with an enhanced long short-term memory network considering domain adaptation
Te Han, Zhe Wang, Huixing Meng
Journal of Power Sources (2021) Vol. 520, pp. 230823-230823
Closed Access | Times Cited: 89
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 long short-term memory neural network based Wiener process model for remaining useful life prediction
Xiaowu Chen, Zhen Liu
Reliability Engineering & System Safety (2022) Vol. 226, pp. 108651-108651
Closed Access | Times Cited: 65
Electric/thermal hybrid energy storage planning for park-level integrated energy systems with second-life battery utilization
Mingxuan Guo, Yunfei Mu, Hongjie Jia, et al.
Advances in Applied Energy (2021) Vol. 4, pp. 100064-100064
Open Access | Times Cited: 57
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
Lifetime and Aging Degradation Prognostics for Lithium-ion Battery Packs Based on a Cell to Pack Method
Yunhong Che, Zhongwei Deng, Xiaolin Tang, et al.
Chinese Journal of Mechanical Engineering (2022) Vol. 35, Iss. 1
Open Access | Times Cited: 42
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
A hybrid transfer learning method for transient stability prediction considering sample imbalance
Xianwen Zhan, Song Han, Na Rong, et al.
Applied Energy (2023) Vol. 333, pp. 120573-120573
Closed Access | Times Cited: 25
Remaining useful life prediction and state of health diagnosis of lithium-ion batteries with multiscale health features based on optimized CatBoost algorithm
Yifei Zhou, Shunli Wang, Yanxing Xie, et al.
Energy (2024) Vol. 300, pp. 131575-131575
Closed Access | Times Cited: 14
Prognostics and health management for predictive maintenance: A review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 78-101
Closed Access | Times Cited: 12
Lifecycle battery carbon footprint analysis for battery sustainability with energy digitalization and artificial intelligence
Yuekuan Zhou
Applied Energy (2024) Vol. 371, pp. 123665-123665
Closed Access | Times Cited: 11
Remaining useful life prediction and cycle life test optimization for multiple-formula battery: A method based on multi-source transfer learning
Dengwei Song, Yujie Cheng, Zhou An, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110166-110166
Closed Access | Times Cited: 8
Review of Power Converter Impact of Electromagnetic Energy Harvesting Circuits and Devices for Autonomous Sensor Applications
Mahidur R. Sarker, Mohamad Hanif Md Saad, José Luis Olazagoitia, et al.
Electronics (2021) Vol. 10, Iss. 9, pp. 1108-1108
Open Access | Times Cited: 45
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
Analysis and prediction of battery aging modes based on transfer learning
Jianguo Chen, Xuebing Han, Tao Sun, et al.
Applied Energy (2023) Vol. 356, pp. 122330-122330
Closed Access | Times Cited: 20
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