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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:

An improved coulomb counting method based on non-destructive charge and discharge differentiation for the SOC estimation of NCM lithium-ion battery
Yucheng Zhu, Yonglian Xiong, Jie Xiao, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 108917-108917
Closed Access | Times Cited: 18

Showing 18 citing articles:

Thermal hazard evaluation of 18650 lithium-ion batteries at various discharge rates
Yen-Wen Lai, Kuang-Hui Chi, Yi‐Hong Chung, et al.
Journal of Loss Prevention in the Process Industries (2024) Vol. 89, pp. 105323-105323
Closed Access | Times Cited: 7
Hybrid data-driven deep learning model for state of charge estimation of Li-ion battery in an electric vehicle
Seunghyeon Oh, Jiyong Kim, Il Moon
Journal of Energy Storage (2024) Vol. 97, pp. 112887-112887
Closed Access | Times Cited: 6
An adaptive fractional-order extended Kalman filtering approach for estimating state of charge of lithium-ion batteries
Dandan Song, Zhe Gao, Haoyu Chai, et al.
Journal of Energy Storage (2024) Vol. 85, pp. 111089-111089
Closed Access | Times Cited: 5
Residual capacity estimation and consistency sorting of retired lithium batteries in cascade utilization process: a review
Weicheng Kong, Weiqiang Gong, Zihan Liu, et al.
Green Manufacturing Open (2025) Vol. 3, Iss. 1
Open Access
Bio-Inspired Optimizer with Deep Learning Model for Energy Management System in Electric Vehicles
C. Srinivasan, C. Sheeba Joice
Sustainable Computing Informatics and Systems (2025) Vol. 45, pp. 101082-101082
Closed Access
Voltage estimation of layered cathode materials LiMO2 (M=Al, Mn, Co, Ni, Cu, Zn) for lithium-ion batteries by using Compton profiles
Chunxia Gong, Hiroshi Sakurai, Yosuke Amada, et al.
Next Energy (2025) Vol. 8, pp. 100249-100249
Closed Access
Piezoresistive-piezocapacitive hybrid pressure sensor based on synergetic MXene porous conducting and ion trapping effects for operando battery state-of-charge monitoring
Haixu Li, Qing Guo, Wei Yu, et al.
Chemical Engineering Journal (2024) Vol. 497, pp. 154929-154929
Closed Access | Times Cited: 3
On-line parameter identification and SOC estimation of nonlinear model of lithium-ion battery based on Wiener structure
Junhong Li, G. Bai, Jun Yan, et al.
Journal of Energy Storage (2024) Vol. 92, pp. 112094-112094
Closed Access | Times Cited: 3
Multi-innovation Adaptive Kalman filter algorithm for estimating the SOC of lithium-ion batteries based on Singular value decomposition and Schmidt orthogonal transformation
Jie Xiao, Yonglian Xiong, Yucheng Zhu, et al.
Energy (2024), pp. 133597-133597
Closed Access | Times Cited: 2
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
A novel method for state of charge estimation of lithium-ion batteries at low-temperatures
Rui Xiong, Zhengyang Li, Hailong Li, et al.
Applied Energy (2024) Vol. 377, pp. 124514-124514
Closed Access | Times Cited: 1
State of charge estimation of lithium ion battery for electric vehicle using cutting edge machine learning algorithms: A review
Sairaj Arandhakar, Jayaram Nakka
Journal of Energy Storage (2024) Vol. 103, pp. 114281-114281
Closed Access | Times Cited: 1
A Deep Learning Model Based on the Introduction of Attention Mechanism is Used to Predict Lithium-Ion Battery SOC
Wenbo Lei, Xiaoyong Gu, Liyuan Zhou
Journal of The Electrochemical Society (2024) Vol. 171, Iss. 7, pp. 070508-070508
Closed Access
Battery State of Charge Estimation Utilizing Gated Recurrent Unit Recurrent Neural Network with Self-Attention Mechanism Under Low Power
Xiaojing Liu, Xuesen Zhang, Jianhua Li
Advances in transdisciplinary engineering (2024)
Open Access
Deep predictive data representation model control for photovoltaic maximum power point tracking under partial shading conditions
Linfei Yin, Jishen Li, Nannan Wang, et al.
Energy Conversion and Management (2024) Vol. 322, pp. 119171-119171
Closed Access
A Method for Estimating the State of Charge of Lithium-Ion Batteries Considering Temperature
Renjing Gao, Yunfei Zhang, Zhiqiang Lyu
Journal of The Electrochemical Society (2024) Vol. 171, Iss. 11, pp. 110521-110521
Closed Access
Multi-Scale Self-Attention Convolutional Neural Network for Energy Storage State-of-Charge Estimation
Halil Çimen
(2024), pp. 1-5
Closed Access
State of Charge Estimation of Lithium Ion Battery Using Coulomb Counting Method Based on Raspberry Pi
Julian Permana, Tri Eko Putra Manvi, Prawito Prajitno
(2024), pp. 582-586
Closed Access
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