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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:

MaScQA: investigating materials science knowledge of large language models
Mohd Zaki, Jayadeva, Mausam Mausam, et al.
Digital Discovery (2023) Vol. 3, Iss. 2, pp. 313-327
Open Access | Times Cited: 13

Showing 13 citing articles:

A Review of Large Language Models and Autonomous Agents in Chemistry
Mayk Caldas Ramos, Christopher J. Collison, Andrew Dickson White
Chemical Science (2024)
Open Access | Times Cited: 8
Large Language Models for Inorganic Synthesis Predictions
Seong-Min Kim, Yousung Jung, Joshua Schrier
Journal of the American Chemical Society (2024) Vol. 146, Iss. 29, pp. 19654-19659
Closed Access | Times Cited: 6
Reconstructing the materials tetrahedron: challenges in materials information extraction
Kausik Hira, Mohd Zaki, Dhruvil Sheth, et al.
Digital Discovery (2024) Vol. 3, Iss. 5, pp. 1021-1037
Open Access | Times Cited: 5
Methodology for Predicting Material Performance by Context-based Modeling: A Case Study on Solid Amine CO2 Adsorbents
Shuangjun Li, Zhixin Huang, Yuanming Li, et al.
Energy and AI (2025), pp. 100477-100477
Open Access
A gazelle optimization expedition for key term separated fractional nonlinear systems with application to electrically stimulated muscle modeling
Taimoor Ali Khan, Naveed Ishtiaq Chaudhary, Chung-Chian Hsu, et al.
Chaos Solitons & Fractals (2024) Vol. 185, pp. 115111-115111
Closed Access | Times Cited: 4
Exploring the expertise of large language models in materials science and metallurgical engineering
Christophe Bajan, G. Lambard
Digital Discovery (2025)
Open Access
Opportunities for retrieval and tool augmented large language models in scientific facilities
Michael H. Prince, Henry Chan, Aikaterini Vriza, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 3
Unleashing the power of AI in science-key considerations for materials data preparation
Yongchao Lu, Hong Wang, Lanting Zhang, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Evaluating Large Language Models for Material Selection
Daniele Grandi, Yash Jain, Allin Groom, et al.
Journal of Computing and Information Science in Engineering (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 2
Large Language Models for Inorganic Synthesis Predictions
Seong-Min Kim, Yousung Jung, Joshua Schrier
(2024)
Open Access | Times Cited: 1
Large Language Models for Inorganic Synthesis Predictions
Seong-Min Kim, Yousung Jung, Joshua Schrier
(2024)
Open Access | Times Cited: 1
Contents list

Digital Discovery (2024) Vol. 3, Iss. 2, pp. 225-230
Open Access
Reconstructing Materials Tetrahedron: Challenges in Materials Information Extraction
Kausik Hira, Mohd Zaki, Dhruvil Sheth, et al.
arXiv (Cornell University) (2023)
Open Access
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