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:

A novel positional encoded attention-based Long short-term memory network for state of charge estimation of lithium-ion battery
Syed Abbas Ali Shah, Sajawal Gul Niazi, Shangqi Deng, et al.
Journal of Power Sources (2023) Vol. 590, pp. 233788-233788
Closed Access | Times Cited: 14

Showing 14 citing articles:

Advances in the Study of Techniques to Determine the Lithium-Ion Battery’s State of Charge
Xinyue Liu, Yang Gao, Kyamra Marma, et al.
Energies (2024) Vol. 17, Iss. 7, pp. 1643-1643
Open Access | Times Cited: 10

A data-driven SOE estimation framework for lithium-ion batteries under drive cycle conditions over wide temperature range
Jianhui Mou, Wenqi Zhou, Chengcheng Yu, et al.
Energy (2025), pp. 134658-134658
Closed Access

Battery multi-time scale fractional-order modeling method for state of charge estimation adaptive to full parameters updating
Jiawei Zeng, Shunli Wang, Mengyun Zhang, et al.
Journal of Energy Storage (2024) Vol. 86, pp. 111283-111283
Closed Access | Times Cited: 4

Accurate state of charge estimation for UAV-centric lithium-ion batteries using customized unscented Kalman filter
Islam Md Monirul, Li Qiu, Rukhsana Ruby
Journal of Energy Storage (2024) Vol. 107, pp. 114955-114955
Closed Access | Times Cited: 3

Advanced integration of bidirectional long short-term memory neural networks and innovative extended Kalman filter for state of charge estimation of lithium-ion battery
Tasadeek Hassan Dar, Satyavir Singh
Journal of Power Sources (2024) Vol. 628, pp. 235893-235893
Closed Access | Times Cited: 3

A hybrid deep learning framework integrating bidirectional sliding windows, TCN, and external attention for accurate state-of-charge estimation in lithium-ion batteries
Syed Abbas Ali Shah, Shunli Wang, Sajawal Gul Niazi, et al.
Journal of Power Sources (2024) Vol. 622, pp. 235312-235312
Closed Access | Times Cited: 2

Accurate state-of-charge estimation for sodium-ion batteries based on a low-complexity model with hierarchical learning
Shuquan Wang, Feng Gao, Hao Tian, et al.
Journal of Energy Storage (2024) Vol. 95, pp. 112571-112571
Closed Access | Times Cited: 1

A state-dependent quasi-linear parameter-varying model of lithium-ion batteries for state of charge estimation
Yaoke Sun, Xiaoyong Zeng, Xiangyang Xia, et al.
Journal of Power Sources (2024) Vol. 614, pp. 234879-234879
Closed Access | Times Cited: 1

A novel temporal-frequency dual attention mechanism network for state of charge estimation of lithium-ion battery
Kaixiong Li, Yong Zhang, Huaijin Liu, et al.
Journal of Power Sources (2024) Vol. 622, pp. 235374-235374
Closed Access | Times Cited: 1

State of charge estimation of lithium-ion battery based on state of temperature estimation using weight clustered-convolutional neural network-long short-term memory
Chaoran Li, Sichen Zhu, Liuli Zhang, et al.
Green Energy and Intelligent Transportation (2024), pp. 100226-100226
Open Access | Times Cited: 1

Dynamical system simulation with attention and recurrent neural networks
Javier Fañanás-Anaya, Gonzalo López‐Nicolás, Carlos Sagüés
Neural Computing and Applications (2024)
Closed Access

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