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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:

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

Showing 25 citing articles:

Artificial Intelligence for context-aware surgical guidance in complex robot-assisted oncological procedures: An exploratory feasibility study
Fiona R. Kolbinger, Sebastian Bodenstedt, Matthias Carstens, et al.
European Journal of Surgical Oncology (2023) Vol. 50, Iss. 12, pp. 106996-106996
Open Access | Times Cited: 19
Illuminating the future of precision cancer surgery with fluorescence imaging and artificial intelligence convergence
Han Cheng, Hong-Tao Xu, Boyang Peng, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 6
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
A parameter-free self-training algorithm based on the three successive confirmation rule
Jikui Wang, Wei Zhao, Qingsheng Shang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110165-110165
Closed Access
Artificial intelligence-assisted phase recognition and skill assessment in laparoscopic surgery: a systematic review
Wenqiang Liao, Ying Zhu, Hanwei Zhang, et al.
Frontiers in Surgery (2025) Vol. 12
Open Access
Self-supervised Learning for Endoscopic Video Analysis
Roy Hirsch, Mathilde Caron, Regev Cohen, et al.
Lecture notes in computer science (2023), pp. 569-578
Closed Access | Times Cited: 12
Foundation models in gastrointestinal endoscopic AI: Impact of architecture, pre-training approach and data efficiency
Tim G. W. Boers, Kiki Fockens, Joost van der Putten, et al.
Medical Image Analysis (2024) Vol. 98, pp. 103298-103298
Open Access | Times Cited: 3
Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven Reasoning
Aditya Murali, Deepak Alapatt, Pietro Mascagni, et al.
Lecture notes in computer science (2023), pp. 647-657
Closed Access | Times Cited: 7
Can surgical computer vision benefit from large-scale visual foundation models?
Navid Rabbani, Adrien Bartoli
International Journal of Computer Assisted Radiology and Surgery (2024) Vol. 19, Iss. 6, pp. 1157-1163
Closed Access | Times Cited: 2
Digital twins as a unifying framework for surgical data science: the enabling role of geometric scene understanding
Hao Ding, Lalithkumar Seenivasan, Benjamin D. Killeen, et al.
Artificial Intelligence Surgery (2024) Vol. 4, Iss. 3, pp. 109-38
Open Access | Times Cited: 2
Deep learning for surgical workflow analysis: a survey of progresses, limitations, and trends
Yunlong Li, Zijian Zhao, Renbo Li, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 1
Jumpstarting Surgical Computer Vision
Deepak Alapatt, Aditya Murali, Vinkle Srivastav, et al.
Lecture notes in computer science (2024), pp. 328-338
Closed Access | Times Cited: 1
Artificial Intelligence for context-aware surgical guidance in complex robot-assisted oncological procedures: An exploratory feasibility study
Fiona R. Kolbinger, Sebastian Bodenstedt, Matthias Carstens, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 7
TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos
Sanat Ramesh, Diego Dall’Alba, Cristians González, et al.
International Journal of Computer Assisted Radiology and Surgery (2023) Vol. 18, Iss. 9, pp. 1665-1672
Open Access | Times Cited: 3
Full resolution convolutional neural network based organ and surgical instrument classification on laparoscopic image data
Praveen SR Konduri, G. Siva Nageswara Rao
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105533-105533
Closed Access | Times Cited: 3
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy
Edward Sanderson, Bogdan J. Matuszewski
IEEE Access (2024) Vol. 12, pp. 46181-46201
Open Access
Medical Surgery Stream Segmentation to Detect and Track Robotic Tools
Syed Abdul Khader, Vysakh Ramakrishnan, Arian Mansur, et al.
(2024), pp. 194-200
Closed Access
Reducing annotating load: Active learning with synthetic images in surgical instrument segmentation
Haonan Peng, Shan Lin, Daniel King, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103246-103246
Open Access
Human-Centered Edge Artificial Intelligence for Smart Factory Applications in Industry 5.0: A Review and Perspective
Le Hoang Nguyen, Kim Duc Tran, Xianyi Zeng, et al.
Springer series in reliability engineering (2024), pp. 79-100
Closed Access
IG-Net: An Instrument-guided real-time semantic segmentation framework for prostate dissection during surgery for low rectal cancer
Bo Sun, Zhen Sun, Kexuan Li, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108443-108443
Closed Access
HecVL: Hierarchical Video-Language Pretraining for Zero-Shot Surgical Phase Recognition
Kun Yuan, Vinkle Srivastav, Nassir Navab, et al.
Lecture notes in computer science (2024), pp. 306-316
Closed Access
Exploring the Effect of Dataset Diversity in Self-supervised Learning for Surgical Computer Vision
Tim J. M. Jaspers, Ronald L. P. D. de Jong, Yasmina Al Khalil, et al.
Lecture notes in computer science (2024), pp. 43-53
Closed Access
SnapSeek 2.0 at Video Browser Showdown 2025
Minh-Quan Ho-Le, Duy-Khang Ho, Huy-Hoang Do-Huu, et al.
Lecture notes in computer science (2024), pp. 339-346
Closed Access
Self-Supervised Learning for Endoscopic Video Analysis
Roy Hirsch, Mathilde Caron, Regev Cohen, et al.
arXiv (Cornell University) (2023)
Open Access
Tunnel Crack Direction Classification Based on BP Neural Network
Chunquan Dai, Huidi Zhang, Zhaochen Zhou, et al.
(2023), pp. 327-336
Closed Access
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