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:

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

Showing 1-25 of 33 citing articles:

Challenges and opportunities toward long-life lithium-ion batteries
Xiaodong Xu, Xuebing Han, Languang Lu, et al.
Journal of Power Sources (2024) Vol. 603, pp. 234445-234445
Closed Access | Times Cited: 34
A review of data-driven whole-life state of health prediction for lithium-ion batteries: Data preprocessing, aging characteristics, algorithms, and future challenges
Yanxin Xie, Shunli Wang, Gexiang Zhang, et al.
Journal of Energy Chemistry (2024) Vol. 97, pp. 630-649
Closed Access | Times Cited: 25
A structural pruning method for lithium-ion batteries remaining useful life prediction model with multi-head attention mechanism
Ge Yang, Jiaxin Ma, Guodong Sun
Journal of Energy Storage (2024) Vol. 86, pp. 111396-111396
Closed Access | Times Cited: 7
Rapid Test and Assessment of Lithium-Ion Battery Cycle Life Based on Transfer Learning
Yuhao Zhu, Xin Gu, Kailong Liu, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 10, Iss. 4, pp. 9133-9143
Closed Access | Times Cited: 6
A thermodynamic approach for characterizing the degradation of Li-ion batteries
K. P. Lijesh, M. M. Khonsari
Journal of Energy Storage (2024) Vol. 82, pp. 110565-110565
Closed Access | Times Cited: 6
Health State Assessment of Lithium-Ion Batteries Based on Multi-Health Feature Fusion and Improved Informer Modeling
Jun He, Xinyu Liu, Wentao Huang, et al.
Energies (2024) Vol. 17, Iss. 9, pp. 2154-2154
Open Access | Times Cited: 6
Dynamic internal resistance modeling and thermal characteristics of lithium-ion batteries for electric vehicles by considering state of health
Yongkuan Sun, Feifei Liu, Wu Qin, et al.
Journal of Power Sources (2024) Vol. 612, pp. 234806-234806
Closed Access | Times Cited: 5
A comprehensive review of state-of-charge and state-of-health estimation for lithium-ion battery energy storage systems
Junjie Tao, Shunli Wang, Wen Cao, et al.
Ionics (2024) Vol. 30, Iss. 10, pp. 5903-5927
Closed Access | Times Cited: 5
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
Status and Prospects of Research on Lithium-Ion Battery Parameter Identification
Jianlin Li, Yuchen Peng, Qian Wang, et al.
Batteries (2024) Vol. 10, Iss. 6, pp. 194-194
Open Access | Times Cited: 4
Cell geometry influences on the vibration performance of lithium-ion batteries
Umar Shafique Awan, Kazem Ghabraie, Ali Zolfagharian, et al.
Journal of Energy Storage (2025) Vol. 109, pp. 115227-115227
Open Access
Dimensional-noise-aware battery lifetime prediction via an EM-TLS framework
Chenlong Yu, Ting Lu, Guohua Liu, et al.
Progress in Natural Science Materials International (2025)
Closed Access
Future degradation trajectory prediction of lithium-ion battery based on a three-step similarity evaluation criterion for battery selection and transfer learning
Yongfang Guo, Yashuang Wang, P. Ding, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108763-108763
Closed Access | Times Cited: 8
Assessment of Health Indicators to Detect the Aging State of Commercial Second-Life Lithium-Ion Battery Cells through Basic Electrochemical Cycling
Emanuele Michelini, Patrick Höschele, Syed Muhammad Abbas, et al.
Batteries (2023) Vol. 9, Iss. 11, pp. 542-542
Open Access | Times Cited: 7
Lithium-ion battery future degradation trajectory early description amid data-driven end-of-life point and knee point co-prediction
Ganglin Cao, Jingjing Yao, S.-L. Chen, et al.
Journal of Cleaner Production (2024), pp. 143900-143900
Closed Access | Times Cited: 2
Plum Tree Algorithm and Weighted Aggregated Ensembles for Energy Efficiency Estimation
Dorin Moldovan
Algorithms (2023) Vol. 16, Iss. 3, pp. 134-134
Open Access | Times Cited: 6
An Improved LSTNet Approach for State-of-Health Estimation of Automotive Lithium-Ion Battery
Fan Ping, Xiaodong Miao, Hu Yu, et al.
Electronics (2023) Vol. 12, Iss. 12, pp. 2647-2647
Open Access | Times Cited: 5
Impact of an interrupted mechanical deformation on the electrical behavior of commercial lithium-ion pouch cells with varied aging histories for battery qualification
Emanuele Michelini, Christian Ellersdorfer, Ilie Hanzu, et al.
Journal of Power Sources (2024) Vol. 611, pp. 234768-234768
Open Access | Times Cited: 1
Battery Early Prognostics Based on Pseudo Meta-Learning
Shuxin Zhang, Zhitao Liu, Hongye Su
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 10, pp. 11655-11665
Closed Access | Times Cited: 1
State of Health Estimation of Lithium-Ion Batteries Based on Multihealth Features Fusion and Improved Group Method of Data Handling
Zhiyuan Wei, Xiaowen Sun, Junjun Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access | Times Cited: 1
Early-stage lifetime prediction for lithium-ion batteries: Linear regression - ensemble learning hybrid model based on impedance spectroscopy geometry
Shude Zhang, Weiru Yuan, Yingzhou Wang, et al.
Journal of Power Sources (2024) Vol. 617, pp. 235153-235153
Closed Access | Times Cited: 1
Innovative multiscale fusion - antinoise extended long short-term memory neural network modeling for high precision state of health estimation of lithium-ion batteries
Junjie Tao, Shunli Wang, Wen Cao, et al.
Energy (2024), pp. 133541-133541
Closed Access | Times Cited: 1
A federated transfer learning approach for lithium-ion battery lifespan early prediction considering privacy preservation
Zhen Zhang, Yanyu Wang, X. D. Ruan, et al.
Journal of Energy Storage (2024) Vol. 102, pp. 114153-114153
Closed Access | Times Cited: 1
Extracting Key Temporal and Cyclic Features from VIT Data to Predict Lithium-Ion Battery Knee Points Using Attention Mechanisms.
Jae‐Wook Lee, Seongmin Heo, Jay H. Lee
Computers & Chemical Engineering (2024), pp. 108931-108931
Closed Access | Times Cited: 1
A study on the application of discrete curvature feature extraction and optimization algorithms to battery health estimation
Hui Hwang Goh, Zhen An, Dongdong Zhang, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access
Page 1 - Next Page

Scroll to top