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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:

Fast capacity prediction of lithium-ion batteries using aging mechanism-informed bidirectional long short-term memory network
Xiaodong Xu, Shengjin Tang, Xuebing Han, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109185-109185
Closed Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Perspectives and challenges for future lithium-ion battery control and management
Yujie Wang, Xingchen Zhang, Kaiquan Li, et al.
eTransportation (2023) Vol. 18, pp. 100260-100260
Closed Access | Times Cited: 95
A hybrid prognosis scheme for rolling bearings based on a novel health indicator and nonlinear Wiener process
Junyu Guo, Zhiyuan Wang, He Li, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110014-110014
Open Access | Times Cited: 45
Predictive health assessment for lithium-ion batteries with probabilistic degradation prediction and accelerating aging detection
Yunhong Che, Yusheng Zheng, Florent Forest, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109603-109603
Open Access | Times Cited: 39
A Generic physics-informed machine learning framework for battery remaining useful life prediction using small early-stage lifecycle data
Weikun Deng, Hung Lê, Khanh T.P. Nguyen, et al.
Applied Energy (2025) Vol. 384, pp. 125314-125314
Closed Access | Times Cited: 1
Accurate Model Parameter Identification to Boost Precise Aging Prediction of Lithium‐Ion Batteries: A Review
Shicong Ding, Yiding Li, Haifeng Dai, et al.
Advanced Energy Materials (2023) Vol. 13, Iss. 39
Open Access | Times Cited: 30
Electric vehicle lifecycle carbon emission reduction: A review
Zhenhai Gao, Haicheng Xie, Xianbin Yang, et al.
Carbon Neutralization (2023) Vol. 2, Iss. 5, pp. 528-550
Open Access | Times Cited: 25
Anomalous calendar aging of Ni-rich cathode batteries: Focusing on structural degradation
Xiaodong Xu, Shengjin Tang, Xuebing Han, et al.
Energy storage materials (2024) Vol. 66, pp. 103198-103198
Closed Access | Times Cited: 9
Capacity prediction of lithium-ion batteries with fusing aging information
Fengfei Wang, Shengjin Tang, Xuebing Han, et al.
Energy (2024) Vol. 293, pp. 130743-130743
Closed Access | Times Cited: 9
Toward Physics-Informed Machine-Learning-Based Predictive Maintenance for Power Converters—A Review
Youssof Fassi, Vincent Heiries, J. Boutet, et al.
IEEE Transactions on Power Electronics (2023) Vol. 39, Iss. 2, pp. 2692-2720
Closed Access | Times Cited: 17
Online surface temperature prediction and abnormal diagnosis of lithium-ion batteries based on hybrid neural network and fault threshold optimization
Hongqian Zhao, Zheng Chen, Xing Shu, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109798-109798
Closed Access | Times Cited: 17
Experimental study on the thermal runaway acceleration mechanism and characteristics of NCM811 lithium-ion battery with critical thermal load induced by nail penetration
Gang Zhou, Yang Liu, Yuying Li, et al.
Journal of Cleaner Production (2023) Vol. 434, pp. 140121-140121
Closed Access | Times Cited: 16
Machine learning assisted multi-objective design optimization for battery thermal management system
Xianlong Zhou, Weilong Guo, Xiangyu Shi, et al.
Applied Thermal Engineering (2024) Vol. 253, pp. 123826-123826
Closed Access | Times Cited: 6
A model-data-fusion method for real-time continuous remaining useful life prediction of lithium batteries
Jinrui Zhang, Dongzhen Lyu, Jiawei Xiang
Measurement (2024) Vol. 238, pp. 115312-115312
Closed Access | Times Cited: 6
A State-of-Health Estimation Method of a Lithium-Ion Power Battery for Swapping Stations Based on a Transformer Framework
Yu Shi, Haicheng Xie, Xinhong Wang, et al.
Batteries (2025) Vol. 11, Iss. 1, pp. 22-22
Open Access
A hybrid prognosis method based on health indicator and wiener process: The case of multi-sensor monitored aero-engine
Xueqi Yang, Xinqin Gao, Haiyang Zheng, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110099-110099
Closed Access
State of the Art in Electric Batteries’ State-of-Health (SoH) Estimation with Machine Learning: A Review
Giovane Ronei Sylvestrin, Joylan Nunes Maciel, Márcio Luís Munhoz Amorim, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 746-746
Open Access
Lithium batteries health state prediction method based on TCN-GRU-Attention fusion model with multi-source charging information
Yong Liu, Sangyu Lai, Yujiao Mai, et al.
AIP Advances (2025) Vol. 15, Iss. 2
Open Access
SOH estimation method for lithium-ion batteries under low temperature conditions with nonlinear correction
Zhenhai Gao, Haicheng Xie, Xianbin Yang, et al.
Journal of Energy Storage (2023) Vol. 75, pp. 109690-109690
Closed Access | Times Cited: 14
Health prognostics of lithium-ion batteries based on universal voltage range features mining and adaptive multi-Gaussian process regression with Harris Hawks optimization algorithm
Yongfang Guo, Xiangyuan Yu, Yashuang Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 244, pp. 109913-109913
Closed Access | Times Cited: 14
A fast data-driven battery capacity estimation method under non-constant current charging and variable temperature
Chuanping Lin, Jun Xu, Jiayang Hou, et al.
Energy storage materials (2023) Vol. 63, pp. 102967-102967
Closed Access | Times Cited: 12
Data-driven degradation trajectory prediction and online knee point identification of battery in electric vehicles
Kailing Li, Naiming Xie, Ou Tang
Engineering Failure Analysis (2024) Vol. 159, pp. 108154-108154
Closed Access | Times Cited: 4
Voltage fault diagnosis and prognostic of lithium-ion batteries in electric scooters based on hybrid neural network and multiple thresholds
Hongqian Zhao, Zhigang Zhao, Xing Shu, et al.
Journal of Power Sources (2024) Vol. 618, pp. 235197-235197
Closed Access | Times Cited: 2
A voltage reconstruction model for lithium-ion batteries considering the polarization process
Fengfei Wang, Shengjin Tang, Xuebing Han, et al.
Journal of Power Sources (2023) Vol. 588, pp. 233744-233744
Closed Access | Times Cited: 5
A physics-informed learning algorithm in dynamic speed prediction method for series hybrid electric powertrain
Wei Liu, Chao Yang, Weida Wang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108643-108643
Closed Access | Times Cited: 1
Lithium Battery State of Health Prognostication Employing Multi-Model Fusion Approach Based on Image Coding of Charging Voltage and Temperature Data
Wencan Zhang, Hancheng He, Taotao Li, et al.
(2024)
Closed Access | Times Cited: 1
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