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:

SciEval: A Multi-Level Large Language Model Evaluation Benchmark for Scientific Research
Liangtai Sun, Han Yang, Zihan Zhao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 19053-19061
Open Access | Times Cited: 9

Showing 9 citing articles:

A survey of GPT-3 family large language models including ChatGPT and GPT-4
Katikapalli Subramanyam Kalyan
Natural Language Processing Journal (2023) Vol. 6, pp. 100048-100048
Open Access | Times Cited: 122

Evaluating and challenging the reasoning capabilities of generative artificial intelligence for technology-assisted chemistry education
Suna-Şeyma Uçar, Iñigo López-Gazpio, Josu Lopez‐Gazpio
Education and Information Technologies (2025)
Open Access

APBench and benchmarking large language model performance in fundamental astrodynamics problems for space engineering
Di Wu, Renyi Zhang, Enrico M. Zucchelli, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Generating colloquial radiology reports with large language models
Cynthia Crystal Tang, Supriya Nagesh, David Fussell, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 11, pp. 2660-2667
Closed Access | Times Cited: 2

Large Language Model Supply Chain: A Research Agenda
Shenao Wang, Yanjie Zhao, Xinyi Hou, et al.
ACM Transactions on Software Engineering and Methodology (2024)
Open Access | Times Cited: 2

Leveraging Deep Learning Techniques for Objective and Subjective Assessment of English Language Proficiency
J Naga Madhuri, Divya Nimma, M. Mythili, et al.
(2024), pp. 1-6
Closed Access

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