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.

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Showing 21 citing articles:

A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets
Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 51

A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics
Kai He, Rui Mao, Qika Lin, et al.
Information Fusion (2025), pp. 102963-102963
Open Access | Times Cited: 13

Benchmarking, ethical alignment, and evaluation framework for conversational AI: Advancing responsible development of ChatGPT
Partha Pratim Ray
BenchCouncil Transactions on Benchmarks Standards and Evaluations (2023) Vol. 3, Iss. 3, pp. 100136-100136
Open Access | Times Cited: 27

A scientific-article key-insight extraction system based on multi-actor of fine-tuned open-source large language models
Zihan Song, Grace M. Hwang, Xin Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1

Exploring ChatGPT for next-generation information retrieval: Opportunities and challenges
Yizheng Huang, Jimmy Xiangji Huang
Web Intelligence (2024) Vol. 22, Iss. 1, pp. 31-44
Open Access | Times Cited: 4

Comparative Analysis of Open-Source Language Models in Summarizing Medical Text Data
Yuhao Chen, Zhimu Wang, Farhana Zulkernine
(2024), pp. 126-128
Open Access | Times Cited: 4

How well it works: Benchmarking performance of GPT models on medical natural language processing tasks
Kathryn Rough, Hui Feng, Paul B Milligan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3

Pre-made Empowering Artificial Intelligence and ChatGPT: The Growing Importance of Human AI-Experts
Maria Virvou, George A. Tsihrintzis
(2023), pp. 1-8
Closed Access | Times Cited: 6

Rationalism in the face of GPT hypes: Benchmarking the output of large language models against human expert-curated biomedical knowledge graphs
Negin Sadat Babaiha, Sathvik Guru Rao, Jürgen Klein, et al.
Artificial Intelligence in the Life Sciences (2024) Vol. 5, pp. 100095-100095
Open Access | Times Cited: 2

Evaluation of Ancient Chinese Natural Language Understanding in Large Language Models Based on ACHNLU
Die Hu, Guangyao Sun, Liu Liu, et al.
Lecture notes in computer science (2024), pp. 3-18
Closed Access | Times Cited: 2

Evaluation of large language model performance on the Biomedical Language Understanding and Reasoning Benchmark
Hui Feng, Francesco Ronzano, Jude LaFleur, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Text Mining for Bioinformatics Using Biomedical Literature
André Lamúrias, Diana Sousa, Francisco M. Couto
Elsevier eBooks (2024)
Closed Access | Times Cited: 1

OpenAI ChatGPT: A Potential Medical Application
Ahmad Chaddad, Yuchen Jiang, Changhong He
(2023)
Closed Access | Times Cited: 3

Findings of the WMT 2023 Biomedical Translation Shared Task: Evaluation of ChatGPT 3.5 as a Comparison System
Mariana Neves, Antonio Jimeno Yepes, Aurélie Névéol, et al.
(2023), pp. 43-54
Open Access | Times Cited: 1

Integrating ChatGPT and AI Technologies in Engineering Fields
Krithikaa Venket, Anju Ambika, R. Adline Freeda
Advances in computational intelligence and robotics book series (2024), pp. 23-46
Closed Access

Enabling Large Language Models to Think Twice When Its Answer Is Unreliable: A Case Study In Cancer Screening
Minchong Wu, Hongxiang Lin, Xiaoqing Lyu, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023), pp. 4975-4977
Closed Access

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