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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:

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

Showing 1-25 of 111 citing articles:

Prediction of the Remaining Useful Life of Supercapacitors at Different Temperatures Based on Improved Long Short-Term Memory
Ning Ma, Huaixian Yin, Kai Wang
Energies (2023) Vol. 16, Iss. 14, pp. 5240-5240
Open Access | Times Cited: 77
State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network
Jingyi Gao, Dongfang Yang, Shi Wang, et al.
Journal of Energy Storage (2023) Vol. 73, pp. 109248-109248
Closed Access | Times Cited: 77
Application of Nanogenerators in the Field of Acoustics
Xiaofei Yu, Yuchao Shang, Lei Zheng, et al.
ACS Applied Electronic Materials (2023) Vol. 5, Iss. 9, pp. 5240-5248
Closed Access | Times Cited: 70
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
Application of nanogenerators in acoustics based on artificial intelligence and machine learning
Xiaofei Yu, Tengtian Ai, Kai Wang
APL Materials (2024) Vol. 12, Iss. 2
Open Access | Times Cited: 59
Revealing the degradation patterns of lithium-ion batteries from impedance spectroscopy using variational auto-encoders
Yanshuo Liu, Qiang Li, Kai Wang
Energy storage materials (2024) Vol. 69, pp. 103394-103394
Closed Access | Times Cited: 58
Resolving the Origins of Superior Cycling Performance of Antimony Anode in Sodium‐ion Batteries: A Comparison with Lithium‐ion Batteries
Ruiwen Shao, Zhefei Sun, Lei Wang, et al.
Angewandte Chemie International Edition (2024) Vol. 63, Iss. 11
Closed Access | Times Cited: 45
Review of Family-Level Short-Term Load Forecasting and Its Application in Household Energy Management System
Ping Ma, Shuhui Cui, Mingshuai Chen, et al.
Energies (2023) Vol. 16, Iss. 15, pp. 5809-5809
Open Access | Times Cited: 44
Waste biomass-derived activated carbons for various energy storage device applications: A review
Pankaj Chaudhary, Sonia Bansal, Bharat Bhushan Sharma, et al.
Journal of Energy Storage (2023) Vol. 78, pp. 109996-109996
Closed Access | Times Cited: 42
Deep learning enabled intrusion detection system for Industrial IOT environment
Himanshu Nandanwar, Rahul Katarya
Expert Systems with Applications (2024) Vol. 249, pp. 123808-123808
Closed Access | Times Cited: 27
State of health estimation for lithium-ion battery based on particle swarm optimization algorithm and extreme learning machine
Kui Chen, Jiali Li, Kai Liu, et al.
Green Energy and Intelligent Transportation (2024) Vol. 3, Iss. 1, pp. 100151-100151
Open Access | Times Cited: 24
Multi- forword-step state of charge prediction for real-world electric vehicles battery systems using a novel LSTM-GRU hybrid neural network
Jichao Hong, Fengwei Liang, Haixu Yang, et al.
eTransportation (2024) Vol. 20, pp. 100322-100322
Closed Access | Times Cited: 24
Prediction of Health Level of Multiform Lithium Sulfur Batteries Based on Incremental Capacity Analysis and an Improved LSTM
Hao Zhang, Hanlei Sun, Le Kang, et al.
Protection and Control of Modern Power Systems (2024) Vol. 9, Iss. 2, pp. 21-31
Open Access | Times Cited: 24
State of health prediction of lithium-ion batteries based on SSA optimized hybrid neural network model
Jiani Zhou, Shunli Wang, Wen Cao, et al.
Electrochimica Acta (2024) Vol. 487, pp. 144146-144146
Closed Access | Times Cited: 16
Transfer learning to estimate lithium-ion battery state of health with electrochemical impedance spectroscopy
Qingkai Xing, Ming Zhang, Yaping Fu, et al.
Journal of Energy Storage (2025) Vol. 110, pp. 115345-115345
Closed Access | Times Cited: 5
Synergistically modified Ti3C2Tx MXene conducting polymer nanocomposites as efficient electrode materials for supercapacitors
Sophy Mariam Varghese, Visakh V. Mohan, Sruthi Suresh, et al.
Journal of Alloys and Compounds (2023) Vol. 973, pp. 172923-172923
Closed Access | Times Cited: 32
GREENSKY: A fair energy-aware optimization model for UAVs in next-generation wireless networks
Anurag Thantharate, Anurag Thantharate, Atul Kulkarni
Green Energy and Intelligent Transportation (2023) Vol. 3, Iss. 1, pp. 100130-100130
Open Access | Times Cited: 23
State of charge estimation for electric vehicles using random forest
Mohd Herwan Sulaiman, Zuriani Mustaffa
Green Energy and Intelligent Transportation (2024) Vol. 3, Iss. 5, pp. 100177-100177
Open Access | Times Cited: 11
Resolving the Origins of Superior Cycling Performance of Antimony Anode in Sodium‐ion Batteries: A Comparison with Lithium‐ion Batteries
Ruiwen Shao, Zhefei Sun, Lei Wang, et al.
Angewandte Chemie (2024) Vol. 136, Iss. 11
Closed Access | Times Cited: 10
Progress of machine learning in materials design for Li-Ion battery
Prasshanth C.V., Arun Kumar Lakshminarayanan, R. Brindha, et al.
Next Materials (2024) Vol. 2, pp. 100145-100145
Open Access | Times Cited: 10
Advances in Fibre Bragg Grating (FBG) Sensing: A Review of Conventional and New Approaches and Novel Sensing Materials in Harsh and Emerging Industrial Sensing
Soo Ping Kok, Yun Ii Go, Xu Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 19, pp. 29485-29505
Closed Access | Times Cited: 9
Multi-fault detection and diagnosis method for battery packs based on statistical analysis
Hanxiao Liu, Liwei Li, Bin Duan, et al.
Energy (2024) Vol. 293, pp. 130465-130465
Closed Access | Times Cited: 8
Critical Review on Improved Electrochemical Impedance Spectroscopy-Cuckoo Search-Elman Neural Network Modeling Methods for Whole-Life-Cycle Health State Estimation of Lithium-Ion Battery Energy Storage Systems
Ran Xiong, Shunli Wang, Paul Takyi‐Aninakwa, et al.
Protection and Control of Modern Power Systems (2024) Vol. 9, Iss. 2, pp. 75-100
Open Access | Times Cited: 8
State of health estimation of lithium-ion battery based on CNN–WNN–WLSTM
Qiongrong Yao, Xianhua Song, Wei Xie
Complex & Intelligent Systems (2024) Vol. 10, Iss. 2, pp. 2919-2936
Open Access | Times Cited: 7
Separator engineering toward suppressed shuttle effect and homogenized lithium deposition in lithium−sulfur batteries
Xingfa Chen, Tianqi Yu, Renshu Huang, et al.
Journal of Alloys and Compounds (2024) Vol. 978, pp. 173482-173482
Closed Access | Times Cited: 7
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