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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:

Comparison of artificial intelligence to the veterinary radiologist's diagnosis of canine cardiogenic pulmonary edema
Eunbee Kim, Anthony J. Fischetti, Pratheev S. Sreetharan, et al.
Veterinary Radiology & Ultrasound (2022) Vol. 63, Iss. 3, pp. 292-297
Closed Access | Times Cited: 23

Showing 23 citing articles:

Artificial intelligence in veterinary diagnostic imaging: A literature review
Erin Hennessey, Matthew R. DiFazio, Ryan Hennessey, et al.
Veterinary Radiology & Ultrasound (2022) Vol. 63, Iss. S1, pp. 851-870
Closed Access | Times Cited: 33
A Veterinary DICOM‐Based Deep Learning Denoising Algorithm Can Improve Subjective and Objective Brain MRI Image Quality
Wilfried Maï, Silke Hecht, Matthew Paek, et al.
Veterinary Radiology & Ultrasound (2025) Vol. 66, Iss. 2
Open Access
Vertebral Heart Score and Vertebral Left Atrial Size as Radiographic Measurements for Cardiac Size in Dogs—A Literature Review
Radu Andrei Baisan, Vasile Vulpe
Animals (2025) Vol. 15, Iss. 5, pp. 683-683
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
Artificial Intelligence in Veterinary Imaging: An Overview
Ana Inês Pereira, Pedro Franco-Gonçalo, Pedro Leite, et al.
Veterinary Sciences (2023) Vol. 10, Iss. 5, pp. 320-320
Open Access | Times Cited: 11
ChatGPT in veterinary medicine: a practical guidance of generative artificial intelligence in clinics, education, and research.
Candice P. Chu
arXiv (Cornell University) (2024) Vol. 11, pp. 1395934-1395934
Open Access | Times Cited: 2
Surveyed veterinary students in Australia find ChatGPT practical and relevant while expressing no concern about artificial intelligence replacing veterinarians
Kate A. Worthing, Madeleine Roberts, Jan Šlapeta
Vet record open (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Performance of a commercially available artificial intelligence software for the detection of confirmed pulmonary nodules and masses in canine thoracic radiography
Leah Kathleen Pomerantz, Mauricio Solano, Eric Kalosa‐Kenyon
Veterinary Radiology & Ultrasound (2023) Vol. 64, Iss. 5, pp. 881-889
Closed Access | Times Cited: 6
Development of an artificial intelligence-based method for the diagnosis of the severity of myxomatous mitral valve disease from canine chest radiographs
Carlotta Valente, Marek Wodziński, Carlo Guglielmini, et al.
Frontiers in Veterinary Science (2023) Vol. 10
Open Access | Times Cited: 5
Deep learning models for interpretation of point of care ultrasound in military working dogs
Sofia I. Hernandez Torres, Lawrence Holland, Thomas H Edwards, et al.
Frontiers in Veterinary Science (2024) Vol. 11
Open Access | Times Cited: 1
ChatGPT in veterinary medicine: a practical guidance of generative artificial intelligence in clinics, education, and research
Candice P. Chu
Frontiers in Veterinary Science (2024) Vol. 11
Open Access | Times Cited: 1
A Novel Standardized Method for Aiding to Determine Left Atrial Enlargement on Lateral Thoracic Radiographs in Dogs
Viktor Szatmári, Zelie M. M. Hofman, Nynke J. van Bijsterveldt, et al.
Animals (2023) Vol. 13, Iss. 13, pp. 2178-2178
Open Access | Times Cited: 4
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
Regressive vision transformer for dog cardiomegaly assessment
Jialu Li, Youshan Zhang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Artificial intelligence in veterinary diagnostics
Harriet Ash Oliver Broome
Companion animal (2024) Vol. 29, Iss. Sup6, pp. 15-18
Closed Access
Automatic classification and grading of canine tracheal collapse on thoracic radiographs by using deep learning
Hathaiphat Suksangvoravong, Nan Choisunirachon, Teerawat Tongloy, et al.
Veterinary Radiology & Ultrasound (2024) Vol. 65, Iss. 6, pp. 679-688
Closed Access
Unleashing the future: Exploring the transformative prospects of artificial intelligence in veterinary science
Khan Sharun, S. Amitha Banu, Merlin Mamachan, et al.
Journal of Experimental Biology and Agricultural Sciences (2024) Vol. 12, Iss. 3, pp. 297-317
Open Access
Navigating the AI Revolution in Medicine—Adopting Strategies for Medical Education
Colin John Greengrass
Medical Science Educator (2024)
Closed Access
Comparison of veterinarians and a deep learning tool in the diagnosis of equine ophthalmic diseases
Annabel Scharre, Dominik Scholler, Stefan Gesell‐May, et al.
Equine Veterinary Journal (2024)
Open Access
Three-Dimensional Segmentation Assisted with Clustering Analysis for Surface and Volume Measurements of Equine Incisor in Multidetector Computed Tomography Data Sets
Marta Borowska, Tomasz Jasiński, Sylwia Gierasimiuk, et al.
Sensors (2023) Vol. 23, Iss. 21, pp. 8940-8940
Open Access | Times Cited: 1
Construction of diagnostic prediction model for canine nasal diseases using less invasive examinations without anesthesia
Yuta NAKAZAWA, Takafumi OHSHIMA, Hideyuki KANEMOTO, et al.
Journal of Veterinary Medical Science (2023) Vol. 85, Iss. 10, pp. 1083-1093
Open Access
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