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:

A question-entailment approach to question answering
Asma Ben Abacha, Dina Demner‐Fushman
BMC Bioinformatics (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 141

Showing 1-25 of 141 citing articles:

A large language model for electronic health records
Xi Yang, Aokun Chen, Nima PourNejatian, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 445

What Disease Does This Patient Have? A Large-Scale Open Domain Question Answering Dataset from Medical Exams
Di Jin, Eileen Pan, Nassim Oufattole, et al.
Applied Sciences (2021) Vol. 11, Iss. 14, pp. 6421-6421
Open Access | Times Cited: 162

Large language models in health care: Development, applications, and challenges
Rui Yang, Ting Fang Tan, Wei Lu, et al.
Health care science (2023) Vol. 2, Iss. 4, pp. 255-263
Open Access | Times Cited: 126

Neural Natural Language Processing for unstructured data in electronic health records: A review
Irene Li, Jessica Pan, Jeremy Goldwasser, et al.
Computer Science Review (2022) Vol. 46, pp. 100511-100511
Open Access | Times Cited: 125

Towards Mitigating LLM Hallucination via Self Reflection
Ziwei Ji, Tiezheng Yu, Yan Xu, et al.
(2023)
Open Access | Times Cited: 64

Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data
Canwen Xu, Daya Guo, Nan Duan, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 63

Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering
Asma Ben Abacha, Chaitanya Shivade, Dina Demner‐Fushman
(2019), pp. 370-379
Open Access | Times Cited: 118

A comprehensive survey of deep learning in the field of medical imaging and medical natural language processing: Challenges and research directions
Babita Pandey, Devendra Kumar Pandey, Brijendra Pratap Mishra, et al.
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 8, pp. 5083-5099
Closed Access | Times Cited: 88

COBERT: COVID-19 Question Answering System Using BERT
Jafar A. Alzubi, Rachna Jain, Anubhav Singh, et al.
Arabian Journal for Science and Engineering (2021) Vol. 48, Iss. 8, pp. 11003-11013
Open Access | Times Cited: 67

Biomedical Question Answering: A Survey of Approaches and Challenges
Qiao Jin, Zheng Yuan, Guangzhi Xiong, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 2, pp. 1-36
Open Access | Times Cited: 63

A Review on Medical Textual Question Answering Systems Based on Deep Learning Approaches
Emmanuel Mutabazi, Jianjun Ni, Guangyi Tang, et al.
Applied Sciences (2021) Vol. 11, Iss. 12, pp. 5456-5456
Open Access | Times Cited: 61

Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain
Asma Ben Abacha, Yassine Mrabet, Yuhao Zhang, et al.
(2021)
Open Access | Times Cited: 58

A machine learning application for raising WASH awareness in the times of COVID-19 pandemic
Rohan Pandey, Vaibhav Gautam, Ridam Pal, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 51

Recent progress in leveraging deep learning methods for question answering
Tianyong Hao, Xinxin Li, Yulan He, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 4, pp. 2765-2783
Closed Access | Times Cited: 46

Review of artificial intelligence‐based question‐answering systems in healthcare
Leona Cilar, Lucija Gosak, Gregor Štiglic
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 2
Open Access | Times Cited: 34

Paper Plain : Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing
Tal August, Lucy Lu Wang, Jonathan Bragg, et al.
ACM Transactions on Computer-Human Interaction (2023) Vol. 30, Iss. 5, pp. 1-38
Open Access | Times Cited: 22

The Venus score for the assessment of the quality and trustworthiness of biomedical datasets
Davide Chicco, Alessandro Fabris, Giuseppe Jurman
BioData Mining (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 1

Consumer health information and question answering: helping consumers find answers to their health-related information needs
Dina Demner‐Fushman, Yassine Mrabet, Asma Ben Abacha
Journal of the American Medical Informatics Association (2019) Vol. 27, Iss. 2, pp. 194-201
Open Access | Times Cited: 73

Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge Integration
Betty van Aken, Jens-Michalis Papaioannou, Manuel Mayrdorfer, et al.
(2021)
Open Access | Times Cited: 48

Automatic extraction of social determinants of health from medical notes of chronic lower back pain patients
Dmytro Lituiev, Benjamin Lacar, Sang S. Pak, et al.
Journal of the American Medical Informatics Association (2023) Vol. 30, Iss. 8, pp. 1438-1447
Open Access | Times Cited: 16

On the Summarization of Consumer Health Questions
Asma Ben Abacha, Dina Demner‐Fushman
(2019), pp. 2228-2234
Open Access | Times Cited: 52

Question Answering with Long Multiple-Span Answers
Ming Zhu, Aman Ahuja, Da-Cheng Juan, et al.
(2020)
Open Access | Times Cited: 41

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks
Akari Asai, Matt Gardner, Hannaneh Hajishirzi
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2022)
Open Access | Times Cited: 23

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