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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:

Comprehensive Review of Natural Language Processing (NLP) in Vascular Surgery
Fabien Lareyre, Bahaa Nasr, Arindam Chaudhuri, et al.
EJVES Vascular Forum (2023) Vol. 60, pp. 57-63
Open Access | Times Cited: 21

Showing 21 citing articles:

Early Diagnosis of Cardiovascular Diseases in the Era of Artificial Intelligence: An In-Depth Review
Naiela E Almansouri, Mishael Awe, Selvambigay Rajavelu, et al.
Cureus (2024)
Open Access | Times Cited: 7
A Methodological Framework for Designing Personalised Training Programs to Support Personnel Upskilling in Industry 5.0
Francisco Fraile, Foivos Psarommatis, Faustino Alarcón Valero, et al.
Computers (2023) Vol. 12, Iss. 11, pp. 224-224
Open Access | Times Cited: 16
Identifying abdominal aortic aneurysm size and presence using Natural Language Processing of radiology reports: a systematic review and meta-analysis
Seyed Mohammad Sajjadi, Alisa Mohebbi, Abdolali Ehsani, et al.
Abdominal Radiology (2025)
Closed Access
Association between guideline-directed medical therapy and reintervention risk following peripheral vascular interventions in patients with peripheral artery disease
Santiago Callegari, Gaëlle Romain, Isabella Capuano, et al.
Vascular Medicine (2025)
Closed Access
Analyzing public discourse on DeFi and CBDC using advanced NLP techniques: insights for financial policy and innovation
Andry Alamsyah, Raras Fitriyani Astuti
Digital Policy Regulation and Governance (2025)
Closed Access
Artificial Intelligence in Vascular Diseases: From Clinical Practice to Medical Research and Education
Fabien Lareyre, Juliette Raffort
Angiology (2025)
Closed Access
Cultural Considerations in Forensic Neuropsychology
K. Jayasankara Reddy
(2025), pp. 523-551
Closed Access
Ethical Concerns Regarding the Use of Large Language Models in Healthcare
Fabien Lareyre, Juliette Raffort
EJVES Vascular Forum (2023) Vol. 61, pp. 1-1
Open Access | Times Cited: 7
Open E-survey on the Use and Perception of Chatbots in Vascular Surgery
Fabien Lareyre, Mario D’Oria, Caroline Caradu, et al.
EJVES Vascular Forum (2024) Vol. 62, pp. 57-63
Open Access | Times Cited: 2
Current Artificial Intelligence Based Chatbots May Produce Inaccurate and Potentially Harmful Information for Patients With Aortic Disease
Germano Melissano, Giovanni Tinelli, Timo T. Söderlund
European Journal of Vascular and Endovascular Surgery (2023) Vol. 67, Iss. 4, pp. 683-684
Closed Access | Times Cited: 6
Moving Forward: Evaluation of Artificial Intelligence Chatbots in Vascular Diseases
Fabien Lareyre, Elise Poggi, Juliette Raffort
European Journal of Vascular and Endovascular Surgery (2023) Vol. 67, Iss. 4, pp. 691-691
Closed Access | Times Cited: 4
e-Health and environmental sustainability in vascular surgery
Gabrielle Stevenin, Jennifer Canonge, Marianne Gervais, et al.
Seminars in Vascular Surgery (2024) Vol. 37, Iss. 3, pp. 333-341
Closed Access | Times Cited: 1
Natural Language Processing in Vascular Surgery
Hinpetch Daungsupawong, Viroj Wiwanitkit
EJVES Vascular Forum (2023) Vol. 61, pp. 2-2
Open Access | Times Cited: 2
Leveraging Artificial Intelligence to Optimize the Care of Peripheral Artery Disease Patients
Jee Hoon Song, Roger T. Tomihama, Danny S. Roh, et al.
Annals of Vascular Surgery (2024) Vol. 107, pp. 48-54
Closed Access
Comprehensive review of virtual assistants in vascular surgery
Ben Li, Derek Beaton, Douglas S. Lee, et al.
Seminars in Vascular Surgery (2024) Vol. 37, Iss. 3, pp. 342-349
Open Access
Identifying the Severity of Heart Valve Stenosis and Regurgitation Among a Diverse Population Within an Integrated Healthcare System: A Natural Language Processing Approach (Preprint)
Fagen Xie, Ming‐Sum Lee, Salam Allahwerdy, et al.
JMIR Cardio (2024) Vol. 8, pp. e60503-e60503
Open Access
Commentary on “Open E-Survey on the Use and Perception of Chatbots in Vascular Surgery”
Stewart R. Walsh
EJVES Vascular Forum (2024) Vol. 62, pp. 91-92
Open Access
Development and comparison of natural language processing models for abdominal aortic aneurysm repair identification and classification using unstructured electronic health records
Daniel Thompson, Reza Mofidi
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Identifying the Severity of Heart Valve Stenosis and Regurgitation Among a Diverse Population Within an Integrated Healthcare System: A Natural Language Processing Approach (Preprint)
Fagen Xie, Ming‐Sum Lee, Salam Allahwerdy, et al.
(2024)
Open Access
Large language models and artificial intelligence chatbots in vascular surgery
Fabien Lareyre, Bahaa Nasr, Elise Poggi, et al.
Seminars in Vascular Surgery (2024) Vol. 37, Iss. 3, pp. 314-320
Closed Access
Artificial intelligence: Blessing or curse?
Giovanni Briganti
Elsevier eBooks (2024), pp. 83-107
Closed Access
Artificial Intelligence to enhance future clinical trials in Vascular Surgery
Sébastien Goffart, Andréa Chierici, Lisa Guzzi, et al.
Annals of Vascular Surgery (2024) Vol. 111, pp. 331-335
Closed Access
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