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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:

Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos
Chinedu Innocent Nwoye, Tong Yu, Cristians González, et al.
Medical Image Analysis (2022) Vol. 78, pp. 102433-102433
Open Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications
Luís Coelho
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1435-1435
Open Access | Times Cited: 148
Computer vision in surgery: from potential to clinical value
Pietro Mascagni, Deepak Alapatt, Luca Sestini, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 91
A vision transformer for decoding surgeon activity from surgical videos
Dani Kiyasseh, Runzhuo Ma, Taseen F. Haque, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 6, pp. 780-796
Open Access | Times Cited: 65
Artificial intelligence and automation in endoscopy and surgery
François Chadebecq, Laurence Lovat, Danail Stoyanov
Nature Reviews Gastroenterology & Hepatology (2022) Vol. 20, Iss. 3, pp. 171-182
Open Access | Times Cited: 63
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, et al.
Medical Image Analysis (2023) Vol. 86, pp. 102803-102803
Open Access | Times Cited: 33
How Artificial Intelligence is Shaping Medical Imaging Technology: A Survey of Innovations and Applications
Luís Coelho
(2023)
Open Access | Times Cited: 30
Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review
Xue Yang, Kexin Huang, Dewei Yang, et al.
Global Challenges (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 26
Dissecting self-supervised learning methods for surgical computer vision
Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102844-102844
Open Access | Times Cited: 25
Surgical text-to-image generation
Chinedu Innocent Nwoye, R. P. Jagadeesh Chandra Bose, Kareem Elgohary, et al.
Pattern Recognition Letters (2025)
Open Access | Times Cited: 1
LapEx: A new multimodal dataset for context recognition and practice assessment in laparoscopic surgery
Arthur Derathé, Fabián Reche, Sylvain Guy, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Rendezvous in time: an attention-based temporal fusion approach for surgical triplet recognition
Saurav Sharma, Chinedu Innocent Nwoye, Didier Mutter, et al.
International Journal of Computer Assisted Radiology and Surgery (2023) Vol. 18, Iss. 6, pp. 1053-1059
Closed Access | Times Cited: 16
Challenges in multi-centric generalization: phase and step recognition in Roux-en-Y gastric bypass surgery
Joël L. Lavanchy, Sanat Ramesh, Diego Dall’Alba, et al.
International Journal of Computer Assisted Radiology and Surgery (2024) Vol. 19, Iss. 11, pp. 2249-2257
Open Access | Times Cited: 6
Towards Holistic Surgical Scene Understanding
Natalia Valderrama, Paola Ruiz Puentes, Isabela Hernández, et al.
Lecture notes in computer science (2022), pp. 442-452
Open Access | Times Cited: 27
Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation
Yueming Jin, Yang Yu, Cheng Chen, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 11, pp. 2991-3002
Open Access | Times Cited: 23
Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition
Kubilay Can Demir, Hannah Schieber, Tobias Weise, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 11, pp. 5405-5417
Open Access | Times Cited: 13
Artificial Intelligence Identifies Factors Associated with Blood Loss and Surgical Experience in Cholecystectomy
Josiah Aklilu, Min Sun, Shelly Goel, et al.
NEJM AI (2024) Vol. 1, Iss. 2
Closed Access | Times Cited: 5
Video-based robotic surgical action recognition and skills assessment on porcine models using deep learning
Nasseh Hashemi, Matias Mose, Lasse Riis Østergaard, et al.
Surgical Endoscopy (2025)
Open Access
VISAGE: Video Synthesis Using Action Graphs for Surgery
Yousef Yeganeh, Rachmadio Lazuardi, Amir Shamseddin, et al.
Lecture notes in computer science (2025), pp. 146-156
Closed Access
Deep learning in surgical process Modeling: A systematic review of workflow recognition
Zhenzhong Liu, Kelong Chen, Shuai Wang, et al.
Journal of Biomedical Informatics (2025), pp. 104779-104779
Closed Access
Surgical video workflow analysis via visual-language learning
Pengpeng Li, Xiangbo Shu, Chun-Mei Feng, et al.
(2025) Vol. 2, Iss. 1
Open Access
Multitask learning in minimally invasive surgical vision: A review
Oluwatosin Alabi, Tom Vercauteren, Miaojing Shi
Medical Image Analysis (2025) Vol. 101, pp. 103480-103480
Open Access
Surgical gestures—An emerging field for surgical assessment and training
Runzhuo Ma
UroPrecision (2025)
Open Access
Desmoke-VCU: Improved Unpaired Image-to-Image Translation for Removing Smoke from Laparoscopic Images
Wenjie Wang, Yuan Qi, P.W. Huang, et al.
Digital Signal Processing (2025), pp. 105177-105177
Closed Access
CholecTriplet2022: Show me a tool and tell me the triplet — An endoscopic vision challenge for surgical action triplet detection
Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, et al.
Medical Image Analysis (2023) Vol. 89, pp. 102888-102888
Open Access | Times Cited: 12
Surgical Tool Datasets for Machine Learning Research: A Survey
Mark Rodrigues, Michael Mayo, Panos Patros
International Journal of Computer Vision (2022) Vol. 130, Iss. 9, pp. 2222-2248
Open Access | Times Cited: 16
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