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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:

Challenges and opportunities for public health made possible by advances in natural language processing
O Baclic, Matthew Tunis, Kelsey Young, et al.
Canada Communicable Disease Report (2020), pp. 161-168
Open Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

Natural language processing: state of the art, current trends and challenges
Diksha Khurana, Aditya Koli, Kiran Khatter, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 3, pp. 3713-3744
Open Access | Times Cited: 1078
Role of Chat GPT in Public Health
Som Biswas
Annals of Biomedical Engineering (2023) Vol. 51, Iss. 5, pp. 868-869
Closed Access | Times Cited: 491
Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022)
Hui Wen Loh, Chui Ping Ooi, Silvia Seoni, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107161-107161
Open Access | Times Cited: 433
Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies
Max Callaghan, Carl-Friedrich Schleußner, Shruti Nath, et al.
Nature Climate Change (2021) Vol. 11, Iss. 11, pp. 966-972
Closed Access | Times Cited: 160
A Comprehensive Survey on TinyML
Youssef Abadade, Anas Temouden, Hatim Bamoumen, et al.
IEEE Access (2023) Vol. 11, pp. 96892-96922
Open Access | Times Cited: 92
Artificial intelligence for health message generation: an empirical study using a large language model (LLM) and prompt engineering
Sue Lim, Ralf Schmälzle
Frontiers in Communication (2023) Vol. 8
Open Access | Times Cited: 45
Artificial Intelligence in Environmental Monitoring: Advancements, Challenges, and Future Directions
David B. Olawade, Ojima Z. Wada, Abimbola O. Ige, et al.
Hygiene and Environmental Health Advances (2024), pp. 100114-100114
Open Access | Times Cited: 27
Machine Learning Techniques for Biomedical Natural Language Processing: A Comprehensive Review
Essam H. Houssein, Rehab E. Mohamed, Abdelmgeid A. Ali
IEEE Access (2021) Vol. 9, pp. 140628-140653
Open Access | Times Cited: 70
Applying ChatGPT in public health: a SWOT and PESTLE analysis
Plinio Pelegrini Morita, Shahabeddin Abhari, Jasleen Kaur, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 40
ChatGPT and most frequent urological diseases: analysing the quality of information and potential risks for patients
J.J. Szczesniewski, C. Tellez Fouz, Alejandra Ramos Alba, et al.
World Journal of Urology (2023) Vol. 41, Iss. 11, pp. 3149-3153
Closed Access | Times Cited: 40
Clinicians’ Views on Using Artificial Intelligence in Healthcare: Opportunities, Challenges, and Beyond
Abdullah Alanazi
Cureus (2023)
Open Access | Times Cited: 37
Unveiling the Thematic Landscape of Generative Pre-trained Transformer (GPT) Through Bibliometric Analysis
Carlos Alberto Gómez Cano, Verenice Sánchez Castillo, Tulio Andrés Clavijo Gallego
Metaverse Basic and Applied Research (2023) Vol. 2, pp. 33-33
Open Access | Times Cited: 32
Large Language Model‐Based Chatbots in Higher Education
Defne Yigci, Merve Eryılmaz, Ail K. Yetisen, et al.
Advanced Intelligent Systems (2024)
Open Access | Times Cited: 16
Is ChatGPT a reliable source of scientific information regarding third-molar surgery?
Rafael Aguiar de Sousa, Samuel Macedo Costa, Pedro Henrique Almeida Figueiredo, et al.
The Journal of the American Dental Association (2024) Vol. 155, Iss. 3, pp. 227-232.e6
Closed Access | Times Cited: 12
Advances in natural language processing for healthcare: A comprehensive review of techniques, applications, and future directions
Fatmah Alafari, Maha Driss, Asma Cherif
Computer Science Review (2025) Vol. 56, pp. 100725-100725
Closed Access | Times Cited: 1
Artificial Intelligence in Action: Addressing the COVID-19 Pandemic with Natural Language Processing
Qingyu Chen, Robert Leaman, Alexis Allot, et al.
Annual Review of Biomedical Data Science (2021) Vol. 4, Iss. 1, pp. 313-339
Open Access | Times Cited: 56
Effectiveness and acceptability of conversational agents for sexual health promotion: a systematic review and meta-analysis
Divyaa Balaji, Linwei He, Stefano Giani, et al.
Sexual Health (2022) Vol. 19, Iss. 5, pp. 391-405
Open Access | Times Cited: 32
Applying machine-learning to rapidly analyze large qualitative text datasets to inform the COVID-19 pandemic response: comparing human and machine-assisted topic analysis techniques
Lauren Towler, Paulina Bondaronek, Trisevgeni Papakonstantinou, et al.
Frontiers in Public Health (2023) Vol. 11
Open Access | Times Cited: 19
Transforming Public Health Practice With Generative Artificial Intelligence
Monica Bharel, John Auerbach, Von Nguyen, et al.
Health Affairs (2024) Vol. 43, Iss. 6, pp. 776-782
Open Access | Times Cited: 8
Quality of information about urologic pathology in English and Spanish from ChatGPT, BARD, and Copilot
J.J. Szczesniewski, A. Ramoso Alba, P.M. Rodríguez Castro, et al.
Actas Urológicas Españolas (English Edition) (2024) Vol. 48, Iss. 5, pp. 398-403
Closed Access | Times Cited: 5
Intelligent Robotics in Pediatric Cooperative Neurorehabilitation: A Review
Elishai Ezra Tsur, Odelia Elkana
Robotics (2024) Vol. 13, Iss. 3, pp. 49-49
Open Access | Times Cited: 5
Relational Graph Convolutional Network for Text-Mining-Based Accident Causal Classification
Zaili Chen, Kai Huang, Wu Li, et al.
Applied Sciences (2022) Vol. 12, Iss. 5, pp. 2482-2482
Open Access | Times Cited: 21
Using natural language processing to identify opioid use disorder in electronic health record data
Jade Singleton, Chengxi Li, Peter Akpunonu, et al.
International Journal of Medical Informatics (2022) Vol. 170, pp. 104963-104963
Open Access | Times Cited: 20
Establishing Infodemic Management in Germany: A Framework for Social Listening and Integrated Analysis to Report Infodemic Insights at the National Public Health Institute
T. Sonia Boender, Paula Helene Schneider, Claudia Houareau, et al.
JMIR Infodemiology (2023) Vol. 3, pp. e43646-e43646
Open Access | Times Cited: 12
Calidad de información de ChatGPT, BARD y Copilot acerca de patología urológica en inglés y en español
J.J. Szczesniewski, A. Ramoso Alba, P.M. Rodríguez Castro, et al.
Actas Urológicas Españolas (2024) Vol. 48, Iss. 5, pp. 398-403
Closed Access | Times Cited: 4
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