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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:

A hybrid neural network model with improved input for state of charge estimation of lithium-ion battery at low temperatures
Zhenhua Cui, Le Kang, Liwei Li, et al.
Renewable Energy (2022) Vol. 198, pp. 1328-1340
Closed Access | Times Cited: 124

Showing 1-25 of 124 citing articles:

Electrochemical Impedance Spectroscopy: A New Chapter in the Fast and Accurate Estimation of the State of Health for Lithium-Ion Batteries
Ming Zhang, Yanshuo Liu, Dezhi Li, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1599-1599
Open Access | Times Cited: 142
Online estimation of SOH for lithium-ion battery based on SSA-Elman neural network
Yu Guo, Dongfang Yang, Yang Zhang, et al.
Protection and Control of Modern Power Systems (2022) Vol. 7, Iss. 1
Open Access | Times Cited: 136
A Review of SOH Prediction of Li-Ion Batteries Based on Data-Driven Algorithms
Ming Zhang, Dongfang Yang, Jiaxuan Du, et al.
Energies (2023) Vol. 16, Iss. 7, pp. 3167-3167
Open Access | Times Cited: 130
State-of-health estimation of lithium-ion batteries based on electrochemical impedance spectroscopy: a review
Yanshuo Liu, Licheng Wang, Dezhi Li, et al.
Protection and Control of Modern Power Systems (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 128
Electrochemical Impedance Spectroscopy Based on the State of Health Estimation for Lithium-Ion Batteries
Dezhi Li, Dongfang Yang, Liwei Li, et al.
Energies (2022) Vol. 15, Iss. 18, pp. 6665-6665
Open Access | Times Cited: 125
Sensing as the key to the safety and sustainability of new energy storage devices
Zhenxiao Yi, Zhaoliang Chen, Kai Yin, et al.
Protection and Control of Modern Power Systems (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 111
High-performance multifunctional electrospun fibrous air filter for personal protection: A review
Zungui Shao, Huatan Chen, Qingfeng Wang, et al.
Separation and Purification Technology (2022) Vol. 302, pp. 122175-122175
Open Access | Times Cited: 88
An in-depth study of the electrical characterization of supercapacitors for recent trends in energy storage system
Sambit Satpathy, Neeraj Kumar Misra, Dhirendra kumar Shukla, et al.
Journal of Energy Storage (2022) Vol. 57, pp. 106198-106198
Closed Access | Times Cited: 81
Self-Powered Electronic Skin for Remote Human–Machine Synchronization
Ming Zhang, Wanli Wang, Guoting Xia, et al.
ACS Applied Electronic Materials (2023) Vol. 5, Iss. 1, pp. 498-508
Closed Access | Times Cited: 75
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: 72
Summary of Health-State Estimation of Lithium-Ion Batteries Based on Electrochemical Impedance Spectroscopy
Xinwei Sun, Yang Zhang, Yongcheng Zhang, et al.
Energies (2023) Vol. 16, Iss. 15, pp. 5682-5682
Open Access | Times Cited: 65
Triboelectric nanogenerators: the beginning of blue dream
Wanli Wang, Dongfang Yang, Xiaoran Yan, et al.
Frontiers of Chemical Science and Engineering (2023) Vol. 17, Iss. 6, pp. 635-678
Closed Access | Times Cited: 61
Review of battery state estimation methods for electric vehicles - Part I: SOC estimation
Osman Demirci, Sezai Taşkın, Erik Schaltz, et al.
Journal of Energy Storage (2024) Vol. 87, pp. 111435-111435
Closed Access | Times Cited: 50
State of charge estimation of lithium-ion batteries based on PSO-TCN-Attention neural network
Feng Li, Wei Zuo, Kun Zhou, et al.
Journal of Energy Storage (2024) Vol. 84, pp. 110806-110806
Closed Access | Times Cited: 46
A novel hybrid deep learning model for accurate state of charge estimation of Li-Ion batteries for electric vehicles under high and low temperature
Muhammad Hamza Zafar, Noman Mujeeb Khan, Mohamad Abou Houran, et al.
Energy (2024) Vol. 292, pp. 130584-130584
Open Access | Times Cited: 21
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
A state‐of‐health estimation method considering capacity recovery of lithium batteries
Yu Guo, Peng Yu, Chao Zhu, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 15, pp. 23730-23745
Closed Access | Times Cited: 66
A method for estimating the aging state of lithium‐ion batteries based on a multi‐linear integrated model
Hanlei Sun, Dongfang Yang, Licheng Wang, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 15, pp. 24091-24104
Closed Access | Times Cited: 60
Electrodeless Nanogenerator for Dust Recover
Wanli Wang, Dongfang Yang, Zhenxing Huang, et al.
Energy Technology (2022) Vol. 10, Iss. 12
Closed Access | Times Cited: 57
Lightweight Multiscale Convolutional Networks With Adaptive Pruning for Intelligent Fault Diagnosis of Train Bogie Bearings in Edge Computing Scenarios
Ao Ding, Yong Qin, Biao Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-13
Closed Access | Times Cited: 39
Cloud-Based Deep Learning for Co-Estimation of Battery State of Charge and State of Health
Dapai Shi, Jingyuan Zhao, Zhenghong Wang, et al.
Energies (2023) Vol. 16, Iss. 9, pp. 3855-3855
Open Access | Times Cited: 38
ICoT-GAN: Integrated Convolutional Transformer GAN for Rolling Bearings Fault Diagnosis Under Limited Data Condition
Huihui Gao, Xiaoran Zhang, Xuejin Gao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-14
Closed Access | Times Cited: 29
An improved method of state of health prediction for lithium batteries considering different temperature
Jiazhi Liu, Xintian Liu
Journal of Energy Storage (2023) Vol. 63, pp. 107028-107028
Closed Access | Times Cited: 27
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 for lithium-ion batteries based on attentional sequence-to-sequence architecture
Yong Tian, Rucong Lai, Xiaoyu Li, et al.
Journal of Energy Storage (2023) Vol. 62, pp. 106836-106836
Closed Access | Times Cited: 24
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