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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:

Physics-informed neural network approach for heat generation rate estimation of lithium-ion battery under various driving conditions
Hui Pang, Longxing Wu, Jiahao Liu, et al.
Journal of Energy Chemistry (2022) Vol. 78, pp. 1-12
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Physics-based battery SOC estimation methods: Recent advances and future perspectives
Longxing Wu, Zhiqiang Lyu, Zebo Huang, et al.
Journal of Energy Chemistry (2023) Vol. 89, pp. 27-40
Closed Access | Times Cited: 73
Short-term photovoltaic power forecasting using meta-learning and numerical weather prediction independent Long Short-Term Memory models
Elissaios Sarmas, Evangelos Spiliotis, Efstathios Stamatopoulos, et al.
Renewable Energy (2023) Vol. 216, pp. 118997-118997
Open Access | Times Cited: 62
Estimation of Lithium-ion Battery Discharge Capacity by Integrating Optimized Explainable-AI and Stacked LSTM Model
Vinay Vakharia, Milind Shah, Pranav Nair, et al.
Batteries (2023) Vol. 9, Iss. 2, pp. 125-125
Open Access | Times Cited: 61
Evaluating the heat generation characteristics of cylindrical lithium-ion battery considering the discharge rates and N/P ratio
Longxing Wu, Kai Liu, Jiahao Liu, et al.
Journal of Energy Storage (2023) Vol. 64, pp. 107182-107182
Closed Access | Times Cited: 52
Battery safety: Fault diagnosis from laboratory to real world
Jingyuan Zhao, Xuning Feng, Manh‐Kien Tran, et al.
Journal of Power Sources (2024) Vol. 598, pp. 234111-234111
Open Access | Times Cited: 48
Performance analysis of a novel thermoelectric-based battery thermal management system
Ding Luo, Zhao Ye, Jin Cao, et al.
Renewable Energy (2024) Vol. 224, pp. 120193-120193
Closed Access | Times Cited: 45
Accurate capacity and remaining useful life prediction of lithium-ion batteries based on improved particle swarm optimization and particle filter
Hui Pang, Kaiqiang Chen, Yuanfei Geng, et al.
Energy (2024) Vol. 293, pp. 130555-130555
Closed Access | Times Cited: 43
Insights and reviews on battery lifetime prediction from research to practice
Xudong Qu, Dapai Shi, Jingyuan Zhao, et al.
Journal of Energy Chemistry (2024) Vol. 94, pp. 716-739
Closed Access | Times Cited: 24
An LSTM-SA model for SOC estimation of lithium-ion batteries under various temperatures and aging levels
G. Chen, Weiwen Peng, Fangfang Yang
Journal of Energy Storage (2024) Vol. 84, pp. 110906-110906
Closed Access | Times Cited: 19
Characterization and identification towards dynamic-based electrical modeling of lithium-ion batteries
Chuanxin Fan, Kailong Liu, Yaxing Ren, et al.
Journal of Energy Chemistry (2024) Vol. 92, pp. 738-758
Closed Access | Times Cited: 16
Dynamic conditions-oriented model-data fused framework enabling state of charge and capacity accurate co-estimation of lithium-ion battery
C.H.E.N. Shouxuan, Z.H.A.N.G. Shuting, G.E.N.G. Yuanfei, et al.
Energy (2025), pp. 134668-134668
Closed Access | Times Cited: 1
Deep learning-based battery state of charge estimation: Enhancing estimation performance with unlabelled training samples
Liang Ma, Tieling Zhang
Journal of Energy Chemistry (2023) Vol. 80, pp. 48-57
Open Access | Times Cited: 38
Boosting battery state of health estimation based on self-supervised learning
Yunhong Che, Yusheng Zheng, Xin Sui, et al.
Journal of Energy Chemistry (2023) Vol. 84, pp. 335-346
Open Access | Times Cited: 31
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
Practical uncertainty quantification for space-dependent inverse heat conduction problem via ensemble physics-informed neural networks
Xinchao Jiang, Xin Wang, Ziming Wen, et al.
International Communications in Heat and Mass Transfer (2023) Vol. 147, pp. 106940-106940
Closed Access | Times Cited: 24
Hybrid Modeling of Lithium-Ion Battery: Physics-Informed Neural Network for Battery State Estimation
Soumya Singh, Yvonne Eboumbou Ebongue, Shahed Rezaei, et al.
Batteries (2023) Vol. 9, Iss. 6, pp. 301-301
Open Access | Times Cited: 23
Data‐Driven Battery Characterization and Prognosis: Recent Progress, Challenges, and Prospects
Shanling Ji, Jianxiong Zhu, Yaxin Yang, et al.
Small Methods (2024) Vol. 8, Iss. 7
Closed Access | Times Cited: 12
Accurate Capacity Prediction and Evaluation with Advanced SSA-CNN-BiLSTM Framework for Lithium-Ion Batteries
Chunsong Lin, Xianguo Tuo, Longxing Wu, et al.
Batteries (2024) Vol. 10, Iss. 3, pp. 71-71
Open Access | Times Cited: 11
Recurrent Neural Networks for Estimating the State of Health of Lithium-Ion Batteries
RAFAEL SAADI DANTAS TEIXEIRA, Rodrigo Flora Calili, Maria Fatima Ludovico de Almeida, et al.
Batteries (2024) Vol. 10, Iss. 3, pp. 111-111
Open Access | Times Cited: 10
Understanding Physics-Informed Neural Networks: Techniques, Applications, Trends, and Challenges
Amer Farea, Olli Yli‐Harja, Frank Emmert‐Streib
AI (2024) Vol. 5, Iss. 3, pp. 1534-1557
Open Access | Times Cited: 10
Flexible path planning-based reconfiguration strategy for maximum capacity utilization of battery pack
Xinghua Liu, Guoyi Chang, Jiaqiang Tian, et al.
Journal of Energy Chemistry (2023) Vol. 86, pp. 362-372
Closed Access | Times Cited: 19
Physics-Informed Neural Network (PINN) for Solving Frictional Contact Temperature and Inversely Evaluating Relevant Input Parameters
Yichun Xia, Yonggang Meng
Lubricants (2024) Vol. 12, Iss. 2, pp. 62-62
Open Access | Times Cited: 6
Battery Engineering Safety Technologies (BEST): Mechanisms, Modes, Metrics, Modelling and Mitigation
Jingyuan Zhao, Zhilong Lv, Di Li, et al.
eTransportation (2024), pp. 100364-100364
Closed Access | Times Cited: 6
Towards an intelligent battery management system for electric vehicle applications: Dataset considerations, algorithmic approaches, and future trends
Zhiqiang Lyu, Longxing Wu, Mohan Lyu, et al.
Journal of Energy Storage (2024) Vol. 101, pp. 113827-113827
Closed Access | Times Cited: 5
Physics-informed Machine Learning for Accurate SOH Estimation of Lithium-ion Batteries Considering Various Temperatures and Operating Conditions
Chunsong Lin, Xianguo Tuo, Longxing Wu, et al.
Energy (2025), pp. 134937-134937
Closed Access
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