OpenAlex Citation Counts

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 novel time series hybrid model for online prediction of electric vehicles battery pack capacity with real charging data
Xiang Chen, Yelin Deng, Sun Li-ming, et al.
Journal of Power Sources (2024) Vol. 597, pp. 234161-234161
Closed Access | Times Cited: 7

Showing 7 citing articles:

An accurate state-of-charge estimation of lithium-ion batteries based on improved particle swarm optimization-adaptive square root cubature kalman filter
Shunli Wang, S. Zhang, Sufang Wen, et al.
Journal of Power Sources (2024) Vol. 624, pp. 235594-235594
Closed Access | Times Cited: 31

Data-driven RUL prediction for lithium-ion batteries based on multilayer optimized fusion deep network
Bin Xu, Xuewu Ge, S JI, et al.
Ionics (2025)
Closed Access

Battery state of health estimation using a novel BiLSTM-Mamba2 network with differential voltage features and transfer learning
Yunong Liu, Yuefeng Liu, Hongyu Shen, et al.
Journal of Energy Storage (2025) Vol. 110, pp. 115347-115347
Closed Access

Charging strategies and battery ageing for electric vehicles: A review
Jennifer Leijon
Energy Strategy Reviews (2025) Vol. 57, pp. 101641-101641
Open Access

Federated Learning-Based Prediction of Electric Vehicle Battery Pack Capacity Using Time-Domain and Frequency-Domain Feature Extraction
Xiang Chen, Xingxing Wang, Yelin Deng
Energy (2025), pp. 135002-135002
Closed Access

Accurate estimation of state of health for lithium-ion batteries based on Pyraformer and TimeGAN data augmentation
Xinhua Liu, Kaiyi Yang, Bosong Zou, et al.
Journal of Power Sources (2025) Vol. 640, pp. 236722-236722
Closed Access

Cross-domain machine transfer learning for capacity aging trajectory prediction of lithium-ion batteries
Caiping Zhang, Jingcai Du, Shuowei Li, et al.
Journal of Power Sources (2024) Vol. 624, pp. 235534-235534
Closed Access | Times Cited: 1

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Requested Article:

Showing 7 citing articles:

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