OpenAlex Citation Counts

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:

Recent advances in artificial intelligence boosting materials design for electrochemical energy storage
X.-B. Liu, Kexin Fan, Xinmeng Huang, et al.
Chemical Engineering Journal (2024) Vol. 490, pp. 151625-151625
Open Access | Times Cited: 14

Showing 14 citing articles:

Integrating artificial intelligence in energy transition: A comprehensive review
Qiang Wang, Yuanfan Li, Rongrong Li
Energy Strategy Reviews (2025) Vol. 57, pp. 101600-101600
Open Access | Times Cited: 5

The Rise of Multivalent Metal–Sulfur Batteries: Advances, Challenges, and Opportunities
Jing Zhao, Yao‐Yu Xiao, Qing Liu, et al.
Advanced Functional Materials (2024) Vol. 34, Iss. 40
Open Access | Times Cited: 6

Unlocking new horizons, challenges of integrating machine learning to energy conversion and storage research
Muthuraja Velpandian, Suddhasatwa Basu
Indian Chemical Engineer (2025), pp. 1-18
Closed Access

The intelligent brain and the energy heart: Synergistic evolution of artificial intelligence and energy storage technology in China
Yan Chen, Jiayi Lyu, Umair Akram, et al.
Acta Psychologica (2025) Vol. 253, pp. 104711-104711
Closed Access

Insights into the specific capacitance of CNT-based supercapacitor electrodes using artificial intelligence
Wael Z. Tawfik, Mohamed Shaban, Athira Raveendran, et al.
RSC Advances (2025) Vol. 15, Iss. 5, pp. 3155-3167
Open Access

Simulation of Interface Characteristics and Charge Transfer Dynamics for Layered Electrodes Using Cascade Capacitance in Supercapacitors by COMSOL Software
Yixin Luo, Dongsheng Chen, Chen Zhang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access

AI in single-atom catalysts: a review of design and applications
Qiumei Yu, Ninggui Ma, Chihon Leung, et al.
Journal of Materials Informatics (2025) Vol. 5, Iss. 1
Open Access

Unlocking the Potential of ZnO Nanorods: Structural Insights for Enhanced Photocatalytic Activity
Derya Kapusuz, Muhammed El Accen, Metin Bedır
Journal of Physics and Chemistry of Solids (2024) Vol. 193, pp. 112120-112120
Closed Access | Times Cited: 4

Numerical simulation of a novel high performance solid‐state dye‐sensitised solar cell based on N719 dye
George G. Njema, Joshua K. Kibet, Nicholas Rono, et al.
IET Optoelectronics (2024) Vol. 18, Iss. 4, pp. 96-120
Open Access | Times Cited: 3

Enhanced learning loop framework accelerates screening of bimetallic catalysts with high oxygen reduction properties in different coordination environments
Pei Song, Zepeng Jia, Sen Lu, et al.
International Journal of Hydrogen Energy (2024) Vol. 73, pp. 305-315
Closed Access | Times Cited: 1

Carbon‐Based 3D Architectures as Anodes for Lithium‐Ion Battery Systems
Junaid Aslam, Muhammad Waseem, Yifan Zhang, et al.
ChemPlusChem (2024)
Closed Access | Times Cited: 1

Multi-scale analysis of voltage curves for accurate and adaptable lifecycle prediction of lithium-ion batteries
Hongmin Jiang, Qiangxiang Zhai, Nengbing Long, et al.
Journal of Power Sources (2024) Vol. 627, pp. 235768-235768
Closed Access

Assessment of Flexible Coal Power and Battery Energy Storage System in Supporting Renewable Energy
Boqiang Lin, Zhiwei Liu
Energy (2024) Vol. 313, pp. 133805-133805
Closed Access

Leveraging AI and Machine Learning for Advancing Marketing Research and Practice
Claude Assunt Mudre, Nhat Juschop
(2024) Vol. 1, Iss. 3, pp. 227-239
Closed Access

GenAI for Scientific Discovery in Electrochemical Energy Storage: State‐of‐the‐Art and Perspectives from Nano‐ and Micro‐Scale
Shuangqi Li, Fengqi You
Small (2024)
Closed Access

A brief overview of deep generative models and how they can be used to discover new electrode materials
Anders Hellman
Current Opinion in Electrochemistry (2024), pp. 101629-101629
Open Access

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Requested Article:

Showing 14 citing articles:

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