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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:

Useful life prediction based on wavelet packet decomposition and two-dimensional convolutional neural network for lithium-ion batteries
Ding Pan, Xiaojuan Liu, Huiqin Li, et al.
Renewable and Sustainable Energy Reviews (2021) Vol. 148, pp. 111287-111287
Closed Access | Times Cited: 101

Showing 26-50 of 101 citing articles:

Non-destructive strength prediction of composite laminates utilizing deep learning and the stochastic finite element methods
Christos Nastos, Panagiotis Komninos, Dimitrios Zarouchas
Composite Structures (2023) Vol. 311, pp. 116815-116815
Open Access | Times Cited: 18
Predicting future capacity of lithium-ion batteries using transfer learning method
Jia‐Hong Chou, Fu‐Kwun Wang, Shih‐Che Lo
Journal of Energy Storage (2023) Vol. 71, pp. 108120-108120
Closed Access | Times Cited: 16
Advancing Lithium-Ion Battery Health Prognostics With Deep Learning: A Review and Case Study
Mohamed Massaoudi, Haitham Abu‐Rub, Ali Ghrayeb
IEEE Open Journal of Industry Applications (2024) Vol. 5, pp. 43-62
Open Access | Times Cited: 7
Enhancing microgrid sustainability: Dynamic management of renewable resources and plug-in hybrid electric vehicles
Yangbing Zheng, Xiao Xue, Xi Sun, et al.
Journal of Cleaner Production (2024) Vol. 450, pp. 141691-141691
Closed Access | Times Cited: 7
Two-stage prediction method for capacity aging trajectories of lithium-ion batteries based on Siamese-convolutional neural network
Jingcai Du, Caiping Zhang, Shuowei Li, et al.
Energy (2024) Vol. 295, pp. 130947-130947
Closed Access | Times Cited: 6
Remaining useful life prediction of lithium-ion batteries based on TCN-DCN fusion model combined with IRRS filtering
Fan Zhang, Zhongli Shen, Menglin Xu, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108586-108586
Closed Access | Times Cited: 15
Prognosis of Lithium-Ion Batteries’ Remaining Useful Life Based on a Sequence-to-Sequence Model with Variational Mode Decomposition
Chunxiang Zhu, Zhiwei He, Zhengyi Bao, et al.
Energies (2023) Vol. 16, Iss. 2, pp. 803-803
Open Access | Times Cited: 14
A deep learning-based car accident detection approach in video-based traffic surveillance
Xinyu Wu, Tingting Li
Journal of Optics (2024) Vol. 53, Iss. 4, pp. 3383-3391
Closed Access | Times Cited: 4
Enhancing efficiency and reliability of multi-energy systems: A hybrid heuristic algorithm for interconnected energy hubs
Fangxiu Wang, Weiyong Zheng, Jiemei Zhao, et al.
Electric Power Systems Research (2024) Vol. 231, pp. 110273-110273
Closed Access | Times Cited: 4
State of health estimation for lithium-ion batteries based on improved bat algorithm optimization kernel extreme learning machine
Xiangbin Li, Diqing Fan, Xintian Liu, et al.
Journal of Energy Storage (2024) Vol. 101, pp. 113756-113756
Closed Access | Times Cited: 4
Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review
Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, et al.
Batteries (2025) Vol. 11, Iss. 1, pp. 17-17
Open Access
Advanced Online State-of-Health Prediction and Monitoring of Na-ion Battery for Electric Vehicles Application
Dario Pelosi, Lorenzo Trombetti, Federico Gallorini, et al.
IEEE Open Journal of Industry Applications (2025) Vol. 6, pp. 59-68
Open Access
Dynamic normalized health indicator construction and Bayesian recurrent state estimation for remaining useful life prediction of high-speed bearings in wind turbine drivetrain
Xilin Li, Wei Teng, Yangyang Zhang, et al.
Measurement (2025) Vol. 246, pp. 116725-116725
Closed Access
Next-Generation energy Management: Particle Density algorithm for residential microgrid optimization
Liang Wang, Nan Sun
Egyptian Informatics Journal (2025) Vol. 29, pp. 100611-100611
Closed Access
A decade of machine learning in lithium-ion battery state estimation: a systematic review
Zaina Al-Hashimi, Taha Khamis, Mouaz Al Kouzbary, et al.
Ionics (2025) Vol. 31, Iss. 3, pp. 2351-2377
Closed Access
A novel remaining useful life prediction for the lithium-ion battery using DPformer and enhanced optimization techniques
Delin Huang, Qiwen Ran, Jinghui Yang, et al.
Ionics (2025)
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
A novel RUL prediction framework based on the adaptability feature perception fusion model method
Jiabo Li, Zhixuan Wang, Di Tian, et al.
Journal of Energy Storage (2025) Vol. 119, pp. 116322-116322
Closed Access
RETRACTED: A novel power system scheduling based on hydrogen-based micro energy hub
Honghui Zhang, Yuanyuan Chen, Kuili Liu, et al.
Energy (2022) Vol. 251, pp. 123623-123623
Closed Access | Times Cited: 20
Research Progress on Data-Driven Methods for Battery States Estimation of Electric Buses
Dengfeng Zhao, Haiyang Li, Fang Zhou, et al.
World Electric Vehicle Journal (2023) Vol. 14, Iss. 6, pp. 145-145
Open Access | Times Cited: 12
A novel time series forecasting model for capacity degradation path prediction of lithium-ion battery pack
Xiang Chen, Yingjie Yang, Jie Sun, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 8, pp. 10959-10984
Closed Access | Times Cited: 3
Intelligent fatigue damage tracking and prognostics of composite structures utilizing raw images via interpretable deep learning
Panagiotis Komninos, A.E.C. Verraest, Nick Eleftheroglou, et al.
Composites Part B Engineering (2024), pp. 111863-111863
Open Access | Times Cited: 3
State-of-health estimation and remaining useful life prediction of lithium-ion batteries using DnCNN-CNN
Sun Geu Chae, Suk Joo Bae, Ki‐Yong Oh
Journal of Energy Storage (2024) Vol. 106, pp. 114826-114826
Closed Access | Times Cited: 3
A Review on the Prediction of Health State and Serving Life of Lithium‐Ion Batteries
Xiaoxian Pang, Shi Zhong, Yali Wang, et al.
The Chemical Record (2022) Vol. 22, Iss. 10
Closed Access | Times Cited: 14
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

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