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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:

Full-process electric vehicles battery state of health estimation based on Informer novel model
Zhigang He, Xianggan Ni, Chaofeng Pan, et al.
Journal of Energy Storage (2023) Vol. 72, pp. 108626-108626
Closed Access | Times Cited: 18

Showing 18 citing articles:

A novel DWTimesNet-based short-term multi-step wind power forecasting model using feature selection and auto-tuning methods
Chu Zhang, Yuhan Wang, Yongyan Fu, et al.
Energy Conversion and Management (2024) Vol. 301, pp. 118045-118045
Closed Access | Times Cited: 22
Energy consumption prediction strategy for electric vehicle based on LSTM-transformer framework
Zhanyu Feng, Jian Zhang, Han Jiang, et al.
Energy (2024) Vol. 302, pp. 131780-131780
Closed Access | Times Cited: 16
Specialized Convolutional Transformer Networks for Estimating Battery Health via Transfer Learning
Jingyuan Zhao, Zhenghong Wang
Energy storage materials (2024) Vol. 71, pp. 103668-103668
Closed Access | Times Cited: 10
SOH estimation of lithium-ion batteries based on multi-feature deep fusion and XGBoost
Jing Sun, Chaoqun Fan, huiyi yan
Energy (2024) Vol. 306, pp. 132429-132429
Closed Access | Times Cited: 9
Multiscale modeling for enhanced battery health analysis: Pathways to longevity
Kaiyi Yang, Lisheng Zhang, Wentao Wang, et al.
Carbon Neutralization (2024) Vol. 3, Iss. 3, pp. 348-385
Open Access | Times Cited: 7
Machine learning for full lifecycle management of lithium-ion batteries
Qiangxiang Zhai, Hongmin Jiang, Nengbing Long, et al.
Renewable and Sustainable Energy Reviews (2024) Vol. 202, pp. 114647-114647
Closed Access | Times Cited: 5
An estimation framework for battery pack state of health based on real vehicle charging and discharging features
Zhigang He, Xingyu Ji, Ding Hua, et al.
Journal of Power Sources (2025) Vol. 631, pp. 236235-236235
Closed Access
State estimation and visualization of lithium-ion battery using transformer Autoencoder model
Tae-Geol Woo, Beom-Jun Kim, Inho Cho, et al.
Journal of Power Electronics (2025)
Closed Access
Improving the accuracy of daily runoff prediction using informer with black kite algorithm, variational mode decomposition, and error correction strategy
Wenchuan Wang, H. Ren, Zong Li, et al.
Stochastic Environmental Research and Risk Assessment (2025)
Closed Access
A Systematic Mapping Study on State Estimation Techniques for Lithium-Ion Batteries in Electric Vehicles
Carolina Tripp-Barba, José Alfonso Aguilar-Calderón, Luis Urquiza-Aguiar, et al.
World Electric Vehicle Journal (2025) Vol. 16, Iss. 2, pp. 57-57
Open Access
Enhanced prediction for battery aging capacity using an efficient temporal convolutional network
Xinwei Zhao, Yonggui Liu, Bin Xiao
Energy (2025), pp. 135043-135043
Closed Access
Lithium battery state of health estimation using real-world vehicle data and an interpretable hybrid framework
Shuang Wen, Ni Lin, Shengxu Huang, et al.
Journal of Energy Storage (2024) Vol. 96, pp. 112623-112623
Closed Access | Times Cited: 3
Edge–cloud collaborative estimation lithium-ion battery SOH based on MEWOA-VMD and Transformer
Yuan Chen, Xiaohe Huang, Yigang He, et al.
Journal of Energy Storage (2024) Vol. 99, pp. 113388-113388
Closed Access | Times Cited: 3
Energy Consumption Prediction Strategy for Electric Vehicle Based on Lstm-Transformer Framework
Zhanyu Feng, Jian Zhang, Han Jiang, et al.
(2024)
Closed Access | Times Cited: 2
Hydrogen consumption estimation of fuel cell vehicle based on vehicle energy transfer
Donghai Hu, Jixiang Huang, Dagang Lu, et al.
Sustainable Energy Technologies and Assessments (2024) Vol. 68, pp. 103854-103854
Closed Access | Times Cited: 2
Advancing state of health estimation for electric vehicles: Transformer-based approach leveraging real-world data
Kosaku Nakano, Sophia Vögler, Kenji Tanaka
Advances in Applied Energy (2024) Vol. 16, pp. 100188-100188
Open Access | Times Cited: 2
Adaptive control of electric vehicle drives through neural network ensembles
Tara Singla, Pinamala Sruthi
MATEC Web of Conferences (2024) Vol. 392, pp. 01188-01188
Open Access
An Informer-LSTM Network for State-of-Charge Estimation of Lithium-Ion Batteries
Kai Guo, Yaohui Zhu, Yuyang Zhong, et al.
(2023), pp. 1-7
Closed Access
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