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:

Machine Learning Assisted Screening of MXene with Superior Anchoring Effect in Al–S Batteries
Souvik Manna, A. Das, Sandeep Das, et al.
ACS Materials Letters (2024) Vol. 6, Iss. 2, pp. 572-582
Closed Access | Times Cited: 7

Showing 7 citing articles:

2D MXenes as electrode materials for metal-sulfur batteries: A review
Irfan Ali Soomro, Muhammad Nazim Lakhan, Abdul Hanan, et al.
Materials Today Physics (2024) Vol. 45, pp. 101453-101453
Closed Access | Times Cited: 15

Integrated Supervised and Unsupervised Machine Learning Approach to Map the Electrochemical Windows Over 4500 Solvents for Battery Applications
Souvik Manna, Surya Sekhar Manna, Biswarup Pathak
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 32, pp. 42138-42152
Closed Access | Times Cited: 4

Design of Supported Ionic Liquid Membranes for CO2 Capture Using a Generative AI-Based Approach
Sarang Ismail, Habibollah Safari, Mona Bavarian
Industrial & Engineering Chemistry Research (2025) Vol. 64, Iss. 8, pp. 4439-4449
Open Access

Utilizing Machine Learning to Advance Battery Materials Design: Challenges and Prospects
Souvik Manna, Poulami Paul, Surya Sekhar Manna, et al.
Chemistry of Materials (2025)
Closed Access

Artificial Intelligence in Rechargeable Battery: Advancements and Prospects
Yige Xiong, Die Zhang, Xiaorong Ruan, et al.
Energy storage materials (2024), pp. 103860-103860
Closed Access | Times Cited: 2

Integration of Density Functional Theory and Machine Learning for Electrolyte Optimization in High-Voltage Dual-Ion Battery Design
Poulami Paul, Sandeep Das, Souvik Manna, et al.
ACS Applied Materials & Interfaces (2024) Vol. 16, Iss. 33, pp. 43591-43601
Closed Access | Times Cited: 1

Research progress on rechargeable aluminum sulfur (Al-S) batteries based on different electrolyte systems
Xiaogeng Huo, Yi Zhao, Shuaitao Zhang, et al.
Journal of Power Sources (2024) Vol. 627, pp. 235837-235837
Closed Access

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