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:

Explainability for Large Language Models: A Survey
Haiyan Zhao, Hanjie Chen, Fan Yang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 2, pp. 1-38
Open Access | Times Cited: 159

Showing 1-25 of 159 citing articles:

Large Language Models in Healthcare and Medical Domain: A Review
Zabir Al Nazi, Wei Peng
Informatics (2024) Vol. 11, Iss. 3, pp. 57-57
Open Access | Times Cited: 52

Reducing Hallucinations in Large Language Models Through Contextual Position Encoding
Sarah Desrochers, James Wilson, Matthew Beauchesne
(2024)
Open Access | Times Cited: 20

Efficiency in Language Understanding and Generation: An Evaluation of Four Open-Source Large Language Models
Siu Ming Wong, Ho-fung Leung, Ka Yan Wong
Research Square (Research Square) (2024)
Open Access | Times Cited: 18

Performance of an Open-Source Large Language Model in Extracting Information from Free-Text Radiology Reports
Bastien Le Guellec, Alexandre Lefèvre, Charlotte Geay, et al.
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 18

Multimodal Large Language Models in Healthcare: Applications, Challenges, and Future Outlook (Preprint)
Rawan AlSaad, Alaa Abd‐Alrazaq, Sabri Boughorbel, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e59505-e59505
Open Access | Times Cited: 18

Large language models empowered agent-based modeling and simulation: a survey and perspectives
Chen Gao, Xiaochong Lan, Nian Li, et al.
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 17

Survey on Explainable AI: Techniques, challenges and open issues
Adel Abusitta, Miles Q. Li, Benjamin C. M. Fung
Expert Systems with Applications (2024) Vol. 255, pp. 124710-124710
Closed Access | Times Cited: 16

A systematic review of the first year of publications on ChatGPT and language education: Examining research on ChatGPT’s use in language learning and teaching
Belle Li, Victoria L. Lowell, Chaoran Wang, et al.
Computers and Education Artificial Intelligence (2024) Vol. 7, pp. 100266-100266
Open Access | Times Cited: 15

Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: A Survey
Dinh-Viet-Toan Le, Louis Bigo, Mikaela Keller, et al.
ACM Computing Surveys (2025)
Open Access | Times Cited: 1

Tool learning with large language models: a survey
Changle Qu, Sunhao Dai, Xiaochi Wei, et al.
Frontiers of Computer Science (2025) Vol. 19, Iss. 8
Open Access | Times Cited: 1

Safety analysis in the era of large language models: A case study of STPA using ChatGPT
Yi Qi, Xingyu Zhao, Siddartha Khastgir, et al.
Machine Learning with Applications (2025), pp. 100622-100622
Open Access | Times Cited: 1

AI language model rivals expert ethicist in perceived moral expertise
Danica Wilbanks, Debanjan Mondal, Niket Tandon, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1

Measuring the Interpretability and Explainability of Model Decisions of Five Large Language Models
Kaito Fujiwara, Miyu Sasaki, Akira Nakamura, et al.
(2024)
Open Access | Times Cited: 14

(A)I Am Not a Lawyer, But...: Engaging Legal Experts towards Responsible LLM Policies for Legal Advice
Inyoung Cheong, King Xia, K. J. Kevin Feng, et al.
2022 ACM Conference on Fairness, Accountability, and Transparency (2024) Vol. 67, pp. 2454-2469
Open Access | Times Cited: 14

Explainable Generative AI (GenXAI): a survey, conceptualization, and research agenda
Johannes Schneider
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 12

Natural language processing in the era of large language models
Arkaitz Zubiaga
Frontiers in Artificial Intelligence (2024) Vol. 6
Open Access | Times Cited: 10

Beyond Traditional Assessment: Exploring the Impact of Large Language Models on Grading Practices
Oluwole Fagbohun, Nwaamaka Pearl Iduwe, Mustapha Abdullahi, et al.
Journal of Artificial Intelligence Machine Learning and Data Science (2024) Vol. 2, Iss. 1, pp. 1-8
Open Access | Times Cited: 9

Emotion detection for misinformation: A review
Zhiwei Liu, Tianlin Zhang, Kailai Yang, et al.
Information Fusion (2024) Vol. 107, pp. 102300-102300
Open Access | Times Cited: 9

Benchmarking the Hallucination Tendency of Google Gemini and Moonshot Kimi
Ruoxi Shan, Qiang Ming, Guang Hong, et al.
(2024)
Open Access | Times Cited: 9

Enhancing Contextual Understanding of Mistral LLM with External Knowledge Bases
Miyu Sasaki, Natsumi Watanabe, Tsukihito Komanaka
Research Square (Research Square) (2024)
Open Access | Times Cited: 8

Integrating human expertise & automated methods for a dynamic and multi-parametric evaluation of large language models’ feasibility in clinical decision-making
Elena Sblendorio, Vincenzo Dentamaro, Alessio Lo Cascio, et al.
International Journal of Medical Informatics (2024) Vol. 188, pp. 105501-105501
Open Access | Times Cited: 7

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