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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:

State of charge estimation for a group of lithium-ion batteries using long short-term memory neural network
Eyad Almaita, Saleh Alshkoor, Emad Abdelsalam, et al.
Journal of Energy Storage (2022) Vol. 52, pp. 104761-104761
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

SOC estimation for lithium-ion battery using the LSTM-RNN with extended input and constrained output
Junxiong Chen, Yu Zhang, Ji Wu, et al.
Energy (2022) Vol. 262, pp. 125375-125375
Closed Access | Times Cited: 152
Review on technological advancement of lithium-ion battery states estimation methods for electric vehicle applications
Prashant Shrivastava, P. Amritansh Naidu, Sakshi Sharma, et al.
Journal of Energy Storage (2023) Vol. 64, pp. 107159-107159
Closed Access | Times Cited: 83
An enhanced lithium-ion battery state-of-charge estimation method using long short-term memory with an adaptive state update filter incorporating battery parameters
Paul Takyi‐Aninakwa, Shunli Wang, Guangchen Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107946-107946
Closed Access | Times Cited: 20
An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries
Paul Takyi‐Aninakwa, Shunli Wang, Hongying Zhang, et al.
Energy (2022) Vol. 260, pp. 125093-125093
Open Access | Times Cited: 52
A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures
Paul Takyi‐Aninakwa, Shunli Wang, Hongying Zhang, et al.
Energy (2023) Vol. 273, pp. 127231-127231
Open Access | Times Cited: 25
State-of-Charge Estimation Method for Lithium-Ion Batteries Using Extended Kalman Filter With Adaptive Battery Parameters
Jae-Jung Yun, Yeonho Choi, Jaehyung Lee, et al.
IEEE Access (2023) Vol. 11, pp. 90901-90915
Open Access | Times Cited: 23
Open access dataset, code library and benchmarking deep learning approaches for state-of-health estimation of lithium-ion batteries
Fujin Wang, Zhi Zhai, Bingchen Liu, et al.
Journal of Energy Storage (2023) Vol. 77, pp. 109884-109884
Closed Access | Times Cited: 23
Comparative Study-Based Data-Driven Models for Lithium-Ion Battery State-of-Charge Estimation
Hossam M. Hussein, Mustafa Esoofally, Abhishek Donekal, et al.
Batteries (2024) Vol. 10, Iss. 3, pp. 89-89
Open Access | Times Cited: 7
A novel enhanced SOC estimation method for lithium-ion battery cells using cluster-based LSTM models and centroid proximity selection
Mohammed Khalifa Al-Alawi, Ali Jaddoa, James Cugley, et al.
Journal of Energy Storage (2024) Vol. 97, pp. 112866-112866
Open Access | Times Cited: 7
Joint State of Charge (SOC) and State of Health (SOH) Estimation for Lithium-Ion Batteries Packs of Electric Vehicles Based on NSSR-LSTM Neural Network
Pan Hu, W. F. Tang, C. H. Li, et al.
Energies (2023) Vol. 16, Iss. 14, pp. 5313-5313
Open Access | Times Cited: 16
State of charge (SOC) estimation in electric vehicle (EV) battery management systems using ensemble methods and neural networks
Edward Ofoegbu
Journal of Energy Storage (2025) Vol. 114, pp. 115833-115833
Open Access
Advancements in the estimation of the state of charge of lithium-ion battery: a comprehensive review of traditional and deep learning approaches
Yunhao Wu, Dongxin Bai, Kai Zhang, et al.
Journal of Materials Informatics (2025) Vol. 5, Iss. 2
Open Access
State‐of‐Health (SOH)–Based Diagnosis System for Lithium‐Ion Batteries Using DNN With Residual Connection and Statistical Feature
Donghoon Seo, Jongho Shin
International Journal of Energy Research (2025) Vol. 2025, Iss. 1
Open Access
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
Mesoporous Cr2O3/MWCNTs/PANI nanocomposite as a high performance anode material for rechargeable lithium ion batteries
Laraib Kiran, Mehmet Kadri Aydınol, Syed Sakhawat Shah, et al.
Fuel (2023) Vol. 352, pp. 128961-128961
Closed Access | Times Cited: 12
Artificial Intelligence-Based Field-Programmable Gate Array Accelerator for Electric Vehicles Battery Management System
Satyashil D. Nagarale, B. P. Patil
SAE International Journal of Connected and Automated Vehicles (2024) Vol. 7, Iss. 3
Open Access | Times Cited: 4
Accelerating AI-Based Battery Management System’s SOC and SOH on FPGA
Satyashil D. Nagarale, B. P. Patil
Applied Computational Intelligence and Soft Computing (2023) Vol. 2023, pp. 1-18
Open Access | Times Cited: 10
Optimal power allocation of battery energy storage system (BESS) using dense LSTM in active distribution network
Sushree Samikshya Pattanaik, Ashwin Kumar Sahoo, R. Panda, et al.
Energy Storage (2023) Vol. 6, Iss. 1
Closed Access | Times Cited: 10
Smart Lithium-Ion Battery Monitoring in Electric Vehicles: An AI-Empowered Digital Twin Approach
Mitra Pooyandeh, Insoo Sohn
Mathematics (2023) Vol. 11, Iss. 23, pp. 4865-4865
Open Access | Times Cited: 10
Intelligent SOX Estimation for Automotive Battery Management Systems: State-of-the-Art Deep Learning Approaches, Open Issues, and Future Research Opportunities
Molla Shahadat Hossain Lipu, Tahia Fahrin Karim, Shaheer Ansari, et al.
Energies (2022) Vol. 16, Iss. 1, pp. 23-23
Open Access | Times Cited: 18
An Improved AhI Method With Deep Learning Networks for State of Charge Estimation of Lithium-Ion Battery
W. D. Chang, Chung‐Chun Kung
IEEE Access (2024) Vol. 12, pp. 55465-55473
Open Access | Times Cited: 3
Estimación del estado de carga de una batería de litio con redes neuronales y validación con FPGA-en-lazo
Erik Martínez-Vera, Alfredo Rosado Muñoz, Pedro Bañuelos-Sánchez
Revista Iberoamericana de Automática e Informática Industrial RIAI (2024) Vol. 21, Iss. 3, pp. 243-251
Open Access | Times Cited: 2
Investigation of noise suppression in experimental multi-cell battery string voltage applying various mother wavelets and decomposition levels in discrete wavelet transform for precise state-of-charge estimation
Jonghoon Kim, Hany M. Hasanien, Roland Kobla Tagayi
Journal of Energy Storage (2023) Vol. 73, pp. 109196-109196
Closed Access | Times Cited: 7
A Comprehensive Review of Categorization and Perspectives on State-of-Charge Estimation Using Deep Learning Methods for Electric Transportation
Kaushik Das, Roushan Kumar
Wireless Personal Communications (2023) Vol. 133, Iss. 3, pp. 1599-1618
Closed Access | Times Cited: 7
An improved sliding window - long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics
Shunli Wang, Paul Takyi‐Aninakwa, Siyu Jin, et al.
Journal of Energy Storage (2023) Vol. 70, pp. 108038-108038
Open Access | Times Cited: 5
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