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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 Early Prediction of Batteries Based on the Differential Voltage and Differential Capacity Curves
Sajad Saraygord Afshari, Shihao Cui, Xiangyang Xu, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 71, pp. 1-9
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

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
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
Early prediction of lithium-ion battery cycle life based on voltage-capacity discharge curves
Xiong Wei, Gang Xu, Yumei Li, et al.
Journal of Energy Storage (2023) Vol. 62, pp. 106790-106790
Open Access | Times Cited: 33
Parallel State Fusion LSTM-based Early-cycle Stage Lithium-ion Battery RUL Prediction Under Lebesgue Sampling Framework
Guangzheng Lyu, Heng Zhang, Qiang Miao
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109315-109315
Closed Access | Times Cited: 30
Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Data Preprocessing and Improved ELM
Weili Wu, Shuangshuang Lu
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 29
An Optimized Random Forest Regression Model for Li-Ion Battery Prognostics and Health Management
Geng Wang, Zhiqiang Lyu, Xiaoyu Li
Batteries (2023) Vol. 9, Iss. 6, pp. 332-332
Open Access | Times Cited: 28
Review on the Selection of Health Indicator for Lithium Ion Batteries
Wenlu Zhou, Qiang Lu, Yanping Zheng
Machines (2022) Vol. 10, Iss. 7, pp. 512-512
Open Access | Times Cited: 31
RUL Prediction of Lithium-Ion Battery in Early-Cycle Stage Based on Similar Sample Fusion Under Lebesgue Sampling Framework
Guangzheng Lyu, Heng Zhang, Qiang Miao
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 20
A novel hybrid model for lithium-ion batteries lifespan prediction with high accuracy and interpretability
Xiaoxian Pang, Wei Yang, Chengyun Wang, et al.
Journal of Energy Storage (2023) Vol. 61, pp. 106728-106728
Closed Access | Times Cited: 18
Battery Reliability Assessment in Electric Vehicles: A State-of-the-Art
Joseph Omakor, Suruz Miah, Hicham Chaoui
IEEE Access (2024) Vol. 12, pp. 77903-77931
Open Access | Times Cited: 7
Early prediction of battery lifetime for lithium-ion batteries based on a hybrid clustered CNN model
Jing Hou, Taian Su, Tian Gao, et al.
Energy (2025), pp. 134992-134992
Closed Access
Ensemble Learning and Voltage Reconstruction Based State of Health Estimation for Lithium-Ion Batteries With Twenty Random Samplings
Xing Shu, Zheng Chen, Jiangwei Shen, et al.
IEEE Transactions on Power Electronics (2023) Vol. 38, Iss. 4, pp. 5538-5548
Closed Access | Times Cited: 15
A fast method for estimating remaining useful life of energy storage battery based on bidirectional synthetic square wave detection and ASO-BP
Lei Luo, Haihong Huang
Journal of Energy Storage (2025) Vol. 112, pp. 115454-115454
Closed Access
Multi-time scale feature extraction for early prediction of battery RUL and knee point using a hybrid deep learning approach
Qiuning Yu, Fujin Wang, Zhi Zhai, et al.
Journal of Energy Storage (2025) Vol. 117, pp. 116024-116024
Closed Access
Prediction of Battery Cycle Life Using Early-Cycle Data, Machine Learning and Data Management
Belen Celik, Roland Sandt, Lara Caroline Pereira dos Santos, et al.
Batteries (2022) Vol. 8, Iss. 12, pp. 266-266
Open Access | Times Cited: 21
Health Indicators Identification of Lithium-Ion Battery From Electrochemical Impedance Spectroscopy Using Geometric Analysis
Zhongkai Zhou, Yan Li, Qing‐Guo Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-9
Closed Access | Times Cited: 10
Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries
Mengyun Zhang, Shunli Wang, Yanxin Xie, et al.
Ionics (2023) Vol. 29, Iss. 9, pp. 3597-3607
Closed Access | Times Cited: 10
A multi-feature fusion model based on differential thermal capacity for prediction of the health status of lithium-ion batteries
Hailin Feng, Ningjuan Li
Journal of Energy Storage (2023) Vol. 72, pp. 108419-108419
Closed Access | Times Cited: 10
Deep learning powered lifetime prediction for lithium-ion batteries based on small amounts of charging cycles
Yunpeng Liu, Moin Ahmed, Jiangtao Feng, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 3078-3090
Closed Access | Times Cited: 2
Predicting the Future Capacity and Remaining Useful Life of Lithium-Ion Batteries Based on Deep Transfer Learning
Chenyu Sun, Taolin Lu, Qingbo Li, et al.
Batteries (2024) Vol. 10, Iss. 9, pp. 303-303
Open Access | Times Cited: 2
A High-Speed Multichannel Electrochemical Impedance Spectroscopy System Using Broadband Multi-Sine Binary Perturbation for Retired Li-Ion Batteries of EVs
Muhammad Sheraz, Woojin Choi
(2024)
Open Access | Times Cited: 1
Enhancing the Cathode/Electrolyte interface in Ni-Rich Lithium-Ion batteries through homogeneous oxynitridation enabled by NO3− dominated clusters
Yuanbin Xiao, Weicheng Zhang, Weikang Dong, et al.
Chemical Engineering Journal (2024) Vol. 494, pp. 153001-153001
Closed Access | Times Cited: 1
Co-estimation and definition for states of health and charge of lithium-ion batteries using expansion
Miao Yu, Yuhao Zhu, Xin Gu, et al.
Energy (2024) Vol. 308, pp. 132872-132872
Closed Access | Times Cited: 1
An enhanced deep learning framework for state of health and remaining useful life prediction of lithium-ion battery based on discharge fragments
Shilong Wang, P.H. Wang, Lingfeng Wang, et al.
Journal of Energy Storage (2024) Vol. 107, pp. 114952-114952
Closed Access | Times Cited: 1
Evaluation of Lithium-Ion Battery Pack Capacity Consistency Using One-Dimensional Magnetic Field Scanning
Hang Wang, Kun Yu, Lei Mao, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 6
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