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.

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Showing 15 citing articles:

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 self-attention-based CNN-Bi-LSTM model for accurate state-of-charge estimation of lithium-ion batteries
Zeinab Sherkatghanad, Amin Ghazanfari, Vladimir Makarenkov
Journal of Energy Storage (2024) Vol. 88, pp. 111524-111524
Open Access | Times Cited: 20

A novel hybrid neural network-based SOH and RUL estimation method for lithium-ion batteries
Baoliang Chen, Yonggui Liu, Bin Xiao
Journal of Energy Storage (2024) Vol. 98, pp. 113074-113074
Closed Access | Times Cited: 8

A Deep Learning Model for Predicting the State of Energy in Lithium-Ion Batteries Based on Magnetic Field Effects
Guanqiang Ruan, Zixi Liu, Junfang Cheng, et al.
Energy (2024) Vol. 304, pp. 132161-132161
Closed Access | Times Cited: 3

A GPR-EDM-UPF framework with false data detection and correction for generalized estimation of SOH in batteries under cyber attacks
Tianqing Yuan, Minhong Zhu, Jing Bai, et al.
Journal of Power Sources (2024) Vol. 623, pp. 235449-235449
Closed Access | Times Cited: 3

Dynamic K-Decay Learning Rate Optimization for Deep Convolutional Neural Network to Estimate the State of Charge for Electric Vehicle Batteries
Neha Bhushan, Saad Mekhilef, Kok Soon Tey, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 3884-3884
Open Access | Times Cited: 1

State of Charge Estimation of Lithium‐Ion Batteries with Adaptive Square Root Central Difference Kalman Filter
Hongbo Du, Yuan Yuan, Wei Zheng, et al.
Advanced Theory and Simulations (2024) Vol. 7, Iss. 11
Open Access

Battery State of Energy Estimation Method Based on Conditional Selection Neural Network Model
K. Liu, Yihuan Li, Qiao Peng
Communications in computer and information science (2024), pp. 267-278
Closed Access

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