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:

The unmet potential of artificial intelligence in veterinary medicine
Parminder S. Basran, Ryan Appleby
American Journal of Veterinary Research (2022) Vol. 83, Iss. 5, pp. 385-392
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Veterinarian burnout demographics and organizational impacts: a narrative review
Michele A. Steffey, Dominique J. Griffon, Marije Risselada, et al.
Frontiers in Veterinary Science (2023) Vol. 10
Open Access | Times Cited: 16

A deep contrastive learning-based image retrieval system for automatic detection of infectious cattle diseases
Veerayuth Kittichai, Morakot Kaewthamasorn, Apinya Arnuphaprasert, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access

A Pilot Study on Using an Artificial Intelligence Algorithm to Identify Urolith Composition through Abdominal Radiographs in the Dog
Rute Canejo‐Teixeira, Mariana T. Carvalho, Gilberto Teixeira, et al.
Veterinary Radiology & Ultrasound (2025) Vol. 66, Iss. 2
Closed Access

Evaluation of a Novel Veterinary Dental Radiography Artificial Intelligence Software Program
Markay L. Nyquist, Lisa Fink, Glenna E. Mauldin, et al.
Journal of Veterinary Dentistry (2024)
Closed Access | Times Cited: 4

Artificial intelligence in veterinary diagnostic imaging: Perspectives and limitations
Silvia Burti, Tommaso Banzato, Simon Coghlan, et al.
Research in Veterinary Science (2024) Vol. 175, pp. 105317-105317
Open Access | Times Cited: 4

Description and Analysis of Horse Swimming Strategies in a U-Shaped Pool
Pauline Gaulmin, Frédéric Marin, Claire Moiroud, et al.
Animals (2025) Vol. 15, Iss. 2, pp. 195-195
Open Access

Comprehensive Global Analysis of Future Trends in Artificial Intelligence‐Assisted Veterinary Medicine
Sadi Elasan, Osman Yılmaz
Veterinary Medicine and Science (2025) Vol. 11, Iss. 3
Open Access

Ethics of using artificial intelligence (AI) in veterinary medicine
Simon Coghlan, Thomas P. Quinn
AI & Society (2023) Vol. 39, Iss. 5, pp. 2337-2348
Open Access | Times Cited: 11

Exploring the Potential and Limitations of Artificial Intelligence in Animal Anatomy
Om Prakash Choudhary, Shofia Saghya Infant, Vickram As, et al.
Annals of Anatomy - Anatomischer Anzeiger (2024), pp. 152366-152366
Closed Access | Times Cited: 3

AI chatbots in pet health care: Opportunities and challenges for owners
Mohammad Jokar, Arman Abdous, Vahid Rahmanian
Veterinary Medicine and Science (2024) Vol. 10, Iss. 3
Open Access | Times Cited: 3

Use of machine learning and Poincaré density grid in the diagnosis of sinus node dysfunction caused by sinoatrial conduction block in dogs
Wyatt H. Flanders, N. Sydney Moïse, Niels F. Otani
Journal of Veterinary Internal Medicine (2024) Vol. 38, Iss. 3, pp. 1305-1324
Open Access | Times Cited: 2

Machine learning-based risk prediction model for canine myxomatous mitral valve disease using electronic health record data
Yun‐Ji Kim, Jae‐Jin Kim, Sehoon Kim, et al.
Frontiers in Veterinary Science (2023) Vol. 10
Open Access | Times Cited: 5

Artificial Intelligence in Diagnostic Imaging
Ryan Appleby, Parminder S. Basran
Advances in Small Animal Care (2024) Vol. 5, Iss. 1, pp. 67-77
Closed Access | Times Cited: 1

Web-Based System for the Diagnosis of Canine Diseases Using Data Mining Techniques
Maritza Aguirre-Munizaga, Fabrizio Carrasco, Fernando Aviles, et al.
Communications in computer and information science (2024), pp. 51-61
Closed Access | Times Cited: 1

Classification of racehorse limb radiographs using deep convolutional neural networks
Raniere Silva, Ambika Prasad Mishra, C. M. Riggs, et al.
Vet record open (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 2

Using Machine Learning in Veterinary Medical Education: An Introduction for Veterinary Medicine Educators
Sarah E. Hooper, Kent G. Hecker, Elpida Artemiou
Veterinary Sciences (2023) Vol. 10, Iss. 9, pp. 537-537
Open Access | Times Cited: 2

Comparison of Machine Learning Tree-Based Algorithms to Predict Future Paratuberculosis ELISA Results Using Repeat Milk Tests
Jamie Imada, Juan Carlos Arango‐Sabogal, C.A. Bauman, et al.
Animals (2024) Vol. 14, Iss. 7, pp. 1113-1113
Open Access

The Potential Use of Animals for the Production of Veterinary Products
Rida Bashir, Ali Muhammad, Naseer Ali Shah, et al.
Springer eBooks (2024), pp. 17-27
Closed Access

Harnessing artificial intelligence for enhanced veterinary diagnostics: A look to quality assurance, Part I Model development
Christina Pacholec, Bente Flatland, Hehuang Xie, et al.
Veterinary Clinical Pathology (2024)
Open Access

Artificial intelligence in veterinary diagnostics
Harriet Ash Oliver Broome
Companion animal (2024) Vol. 29, Iss. Sup6, pp. 15-18
Closed Access

Automated Wound Image Segmentation: Transfer Learning from Human to Pet via Active Semi-Supervised Learning
Daniele Buschi, Nico Curti, Veronica Cola, et al.
Animals (2023) Vol. 13, Iss. 6, pp. 956-956
Open Access | Times Cited: 1

Computer vision model for the detection of canine pododermatitis and neoplasia of the paw
Andrew Smith, Patrick W. Carroll, Srikanth Aravamuthan, et al.
Veterinary Dermatology (2023) Vol. 35, Iss. 2, pp. 138-147
Open Access | Times Cited: 1

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