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:

Evidence-based Fact-Checking of Health-related Claims
Mourad Sarrouti, Asma Ben Abacha, Yassine Mrabet, et al.
(2021), pp. 3499-3512
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

MultiVerS: Improving scientific claim verification with weak supervision and full-document context
David Wadden, Kyle Lo, Lucy Lu Wang, et al.
Findings of the Association for Computational Linguistics: NAACL 2022 (2022)
Open Access | Times Cited: 34

Faithful AI in Medicine: A Systematic Review with Large Language Models and Beyond
Qianqian Xie, Edward J. Schenck, He S. Yang, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 22

Improved Methods to Aid Unsupervised Evidence-Based Fact Checking for Online Heath News
Pritam Deka, Anna Jurek, P Deepak
Journal of Data Intelligence (2022) Vol. 3, Iss. 4, pp. 474-504
Open Access | Times Cited: 26

Combating the COVID-19 infodemic using Prompt-Based curriculum learning
Zifan Peng, Mingchen Li, Yue Wang, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120501-120501
Open Access | Times Cited: 13

Prompt-based contrastive learning to combat the COVID-19 infodemic
Zifan Peng, Mingchen Li, Yue Wang, et al.
Machine Learning (2025) Vol. 114, Iss. 1
Closed Access

A dataset for evaluating clinical research claims in large language models
Boya Zhang, Alban Bornet, Anthony Yazdani, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access

How do LLMs perform on Turkish? A multi-faceted multi-prompt evaluation
Mustafa Burak Topal, Aysun Bozanta, Ayşe Bener
Expert Systems with Applications (2025), pp. 127421-127421
Closed Access

Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation
Max Glockner, Yufang Hou, Iryna Gurevych
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 5916-5936
Open Access | Times Cited: 15

SciFact-Open: Towards open-domain scientific claim verification
David Wadden, Kyle Lo, Bailey Kuehl, et al.
(2022), pp. 4719-4734
Open Access | Times Cited: 14

Automatic detection of health misinformation: a systematic review
Ipek Baris Schlicht, Eugenia Fernandez, Berta Chulvi, et al.
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 15, Iss. 3, pp. 2009-2021
Open Access | Times Cited: 7

Scientific Fact-Checking: A Survey of Resources and Approaches
Juraj Vladika, Florian Matthes
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 7

RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media
Somin Wadhwa, Vivek Khetan, Silvio Amir, et al.
(2023), pp. 809-827
Open Access | Times Cited: 7

Large Language Models to process, analyze, and synthesize biomedical texts - a scoping review
Simona Emilova Doneva, Sijing Qin, Beate Sick, et al.
(2024)
Closed Access | Times Cited: 2

Towards Reliable Healthcare LLM Agents: A Case Study for Pilgrims during Hajj
Hanan M. Alghamdi, Abeer Mostafa
Information (2024) Vol. 15, Iss. 7, pp. 371-371
Open Access | Times Cited: 2

Check-COVID: Fact-Checking COVID-19 News Claims with Scientific Evidence
Gengyu Wang, Kate Harwood, Lawrence Chillrud, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023), pp. 14114-14127
Open Access | Times Cited: 5

FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge
Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 933-952
Open Access | Times Cited: 4

Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking
Neşet Tan, Trung B. Nguyen, Josh Bensemann, et al.
(2023), pp. 2652-2664
Open Access | Times Cited: 4

AmbiFC: Fact-Checking Ambiguous Claims with Evidence
Max Glockner, Ieva Staliūnaitė, James H. Thorne, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 1-18
Open Access | Times Cited: 1

CONCORD: Enhancing COVID-19 Research with Weak-Supervision based Numerical Claim Extraction
Dhwanil Shah, Krish Shah, Manan Jagani, et al.
Research Square (Research Square) (2024)
Open Access | Times Cited: 1

Weakly Supervised Claim Localization in Scientific Abstracts
Marc Brinner, Sina Zarrieß, Tina Heger
Lecture notes in computer science (2024), pp. 20-38
Open Access | Times Cited: 1

CONCORD: enhancing COVID-19 research with weak-supervision based numerical claim extraction
Dhwanil Shah, Krish Shah, Manan Jagani, et al.
Journal of Intelligent Information Systems (2024)
Closed Access | Times Cited: 1

Large language models to process, analyze, and synthesize biomedical texts: a scoping review
Simona Emilova Doneva, Sijing Qin, Beate Sick, et al.
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1

Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports
Juraj Vladika, Florian Matthes
Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) (2023), pp. 1863-1870
Open Access | Times Cited: 3

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