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:

Artificial Intelligence Applied to Battery Research: Hype or Reality?
Teo Lombardo, Marc Duquesnoy, Hassna El-Bouysidy, et al.
Chemical Reviews (2021) Vol. 122, Iss. 12, pp. 10899-10969
Open Access | Times Cited: 273

Showing 1-25 of 273 citing articles:

Liquid electrolyte: The nexus of practical lithium metal batteries
Hansen Wang, Zhiao Yu, Xian Kong, et al.
Joule (2022) Vol. 6, Iss. 3, pp. 588-616
Open Access | Times Cited: 333

Applying Classical, Ab Initio, and Machine-Learning Molecular Dynamics Simulations to the Liquid Electrolyte for Rechargeable Batteries
Nan Yao, Xiang Chen, Zhongheng Fu, et al.
Chemical Reviews (2022) Vol. 122, Iss. 12, pp. 10970-11021
Closed Access | Times Cited: 261

Comprehensive recycling of lithium-ion batteries: Fundamentals, pretreatment, and perspectives
Wenhao Yu, Yi Guo, Shengming Xu, et al.
Energy storage materials (2022) Vol. 54, pp. 172-220
Closed Access | Times Cited: 131

Chemomechanics of Rechargeable Batteries: Status, Theories, and Perspectives
Luize Scalco de Vasconcelos, Rong Xu, Zhengrui Xu, et al.
Chemical Reviews (2022) Vol. 122, Iss. 15, pp. 13043-13107
Closed Access | Times Cited: 122

Porous Flow Field for Next-Generation Proton Exchange Membrane Fuel Cells: Materials, Characterization, Design, and Challenges
Guobin Zhang, Zhiguo Qu, Wen‐Quan Tao, et al.
Chemical Reviews (2022) Vol. 123, Iss. 3, pp. 989-1039
Closed Access | Times Cited: 115

Deep learning to estimate lithium-ion battery state of health without additional degradation experiments
Jiahuan Lu, Rui Xiong, Jinpeng Tian, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 110

Prospects for managing end‐of‐life lithium‐ion batteries: Present and future
Xiao‐Tong Wang, Zhen‐Yi Gu, Edison Huixiang Ang, et al.
Interdisciplinary materials (2022) Vol. 1, Iss. 3, pp. 417-433
Open Access | Times Cited: 102

Scaling up high-energy-density sulfidic solid-state batteries: A lab-to-pilot perspective
Darren H. S. Tan, Ying Shirley Meng, Jihyun Jang
Joule (2022) Vol. 6, Iss. 8, pp. 1755-1769
Closed Access | Times Cited: 94

Electrostatic Potential as Solvent Descriptor to Enable Rational Electrolyte Design for Lithium Batteries
Yanzhou Wu, Qiao Hu, Hongmei Liang, et al.
Advanced Energy Materials (2023) Vol. 13, Iss. 22
Open Access | Times Cited: 91

Theory-guided experimental design in battery materials research
Alex Yong Sheng Eng, Chhail Bihari Soni, Yanwei Lum, et al.
Science Advances (2022) Vol. 8, Iss. 19
Open Access | Times Cited: 90

A Review of Transition Metal Boride, Carbide, Pnictide, and Chalcogenide Water Oxidation Electrocatalysts
Kenta Kawashima, Raúl A. Márquez, Lettie A. Smith, et al.
Chemical Reviews (2023) Vol. 123, Iss. 23, pp. 12795-13208
Closed Access | Times Cited: 90

Unity of Opposites between Soluble and Insoluble Lithium Polysulfides in Lithium–Sulfur Batteries
Zhenkang Wang, Ya Li, Haoqing Ji, et al.
Advanced Materials (2022) Vol. 34, Iss. 47
Closed Access | Times Cited: 87

Overview on Theoretical Simulations of Lithium‐Ion Batteries and Their Application to Battery Separators
D. Miranda, Renato Gonçalves, Stefan Wuttke, et al.
Advanced Energy Materials (2023) Vol. 13, Iss. 13
Open Access | Times Cited: 76

Machine learning in energy storage materials
Zhonghui Shen, Hanxing Liu, Yang Shen, et al.
Interdisciplinary materials (2022) Vol. 1, Iss. 2, pp. 175-195
Open Access | Times Cited: 66

Data-Driven Insight into the Reductive Stability of Ion–Solvent Complexes in Lithium Battery Electrolytes
Yuchen Gao, Nan Yao, Xiang Chen, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 43, pp. 23764-23770
Closed Access | Times Cited: 63

Thermal state monitoring of lithium-ion batteries: Progress, challenges, and opportunities
Yusheng Zheng, Yunhong Che, Xiao Hu, et al.
Progress in Energy and Combustion Science (2023) Vol. 100, pp. 101120-101120
Open Access | Times Cited: 61

Battery prognostics and health management from a machine learning perspective
Jingyuan Zhao, Xuning Feng, Quanquan Pang, et al.
Journal of Power Sources (2023) Vol. 581, pp. 233474-233474
Closed Access | Times Cited: 53

High-efficient prediction of state of health for lithium-ion battery based on AC impedance feature tuned with Gaussian process regression
Jia Wang, Rui Zhao, Qiu‐An Huang, et al.
Journal of Power Sources (2023) Vol. 561, pp. 232737-232737
Closed Access | Times Cited: 46

Data-driven capacity estimation for lithium-ion batteries with feature matching based transfer learning method
Shiyi Fu, Shengyu Tao, Hongtao Fan, et al.
Applied Energy (2023) Vol. 353, pp. 121991-121991
Closed Access | Times Cited: 44

Microstructures of layered Ni-rich cathodes for lithium-ion batteries
Jingyu Lu, Chao Xu, Wesley M. Dose, et al.
Chemical Society Reviews (2024) Vol. 53, Iss. 9, pp. 4707-4740
Closed Access | Times Cited: 42

Battery safety: Machine learning-based prognostics
Jingyuan Zhao, Xuning Feng, Quanquan Pang, et al.
Progress in Energy and Combustion Science (2024) Vol. 102, pp. 101142-101142
Open Access | Times Cited: 41

Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects
Van Nhanh Nguyen, W. Tarełko, Prabhakar Sharma, et al.
Energy & Fuels (2024) Vol. 38, Iss. 3, pp. 1692-1712
Closed Access | Times Cited: 39

Machine Learning‐Assisted Property Prediction of Solid‐State Electrolyte
Jin Li, Meisa Zhou, Hong‐Hui Wu, et al.
Advanced Energy Materials (2024) Vol. 14, Iss. 20
Closed Access | Times Cited: 37

Graphic, Quantitation, Visualization, Standardization, Digitization, and Intelligence of Electrolyte and Electrolyte‐Electrode Interface
Tao Cai, Yuqi Wang, Fei Zhao, et al.
Advanced Energy Materials (2024) Vol. 14, Iss. 25
Closed Access | Times Cited: 37

Advancing next-generation proton-exchange membrane fuel cell development in multi-physics transfer
Guobin Zhang, Zhiguo Qu, Wen‐Quan Tao, et al.
Joule (2023) Vol. 8, Iss. 1, pp. 45-63
Closed Access | Times Cited: 36

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