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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:

SAGES consensus recommendations on an annotation framework for surgical video
Ozanan R. Meireles, Guy Rosman, Maria S. Altieri, et al.
Surgical Endoscopy (2021) Vol. 35, Iss. 9, pp. 4918-4929
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Surgical data science – from concepts toward clinical translation
Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya, et al.
Medical Image Analysis (2021) Vol. 76, pp. 102306-102306
Open Access | Times Cited: 220
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
Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark
Martin Wagner, Beat P. Müller‐Stich, Anna Kisilenko, et al.
Medical Image Analysis (2023) Vol. 86, pp. 102770-102770
Open Access | Times Cited: 49
Clinical applications of artificial intelligence in robotic surgery
J Knudsen, Umar Ghaffar, Runzhuo Ma, et al.
Journal of Robotic Surgery (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 47
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
A Delphi consensus statement for digital surgery
Kyle Lam, Michael D. Abràmoff, José M. Balibrea, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 61
Gesture Recognition in Robotic Surgery With Multimodal Attention
Beatrice van Amsterdam, Isabel Funke, Eddie Edwards, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 7, pp. 1677-1687
Open Access | Times Cited: 42
Surgical gestures as a method to quantify surgical performance and predict patient outcomes
Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 32
Artificial Intelligence Methods and Artificial Intelligence-Enabled Metrics for Surgical Education: A Multidisciplinary Consensus
S. Swaroop Vedula, Ahmed Ghazi, Justin Collins, et al.
Journal of the American College of Surgeons (2022) Vol. 234, Iss. 6, pp. 1181-1192
Open Access | Times Cited: 29
Artificial Intelligence in Colorectal Cancer Surgery: Present and Future Perspectives
Giuseppe Quero, Pietro Mascagni, Fiona R. Kolbinger, et al.
Cancers (2022) Vol. 14, Iss. 15, pp. 3803-3803
Open Access | Times Cited: 29
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
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
Multicentric exploration of tool annotation in robotic surgery: lessons learned when starting a surgical artificial intelligence project
Pieter De Backer, Jennifer A. Eckhoff, Jente Simoens, et al.
Surgical Endoscopy (2022) Vol. 36, Iss. 11, pp. 8533-8548
Open Access | Times Cited: 22
SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education)
Jennifer A. Eckhoff, Guy Rosman, Maria S. Altieri, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 11, pp. 8690-8707
Open Access | Times Cited: 14
A systematic review of annotation for surgical process model analysis in minimally invasive surgery based on video
Krystel Nyangoh Timoh, Arnaud Huaulmé, Kevin Cleary, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 6, pp. 4298-4314
Open Access | Times Cited: 13
Convolutional Neural Network‐Based Deep Learning Engine for Mastoidectomy Instrument Recognition and Movement Tracking
Mallory J. Raymond, Biswajit Biswal, Royal M. Pipaliya, et al.
Otolaryngology (2024) Vol. 170, Iss. 6, pp. 1555-1560
Open Access | Times Cited: 4
Artificial intelligence and robotic surgical education
Riley Brian, Alyssa Murillo, Camilla Gomes, et al.
Global Surgical Education - Journal of the Association for Surgical Education (2024) Vol. 3, Iss. 1
Open Access | Times Cited: 4
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
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 training scalability through AI-based innovations
Cristián Jarry, Javier Vela, Valentina Durán Espinoza, et al.
Global Surgical Education - Journal of the Association for Surgical Education (2025) Vol. 4, Iss. 1
Closed Access
Automated surgical action recognition and competency assessment in laparoscopic cholecystectomy: a proof-of-concept study
Hung-Hsuan Yen, Ya‐Hsin Hsiao, Meng-Han Yang, et al.
Surgical Endoscopy (2025)
Closed Access
SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery
Yutong Ban, Guy Rosman, Jennifer A. Eckhoff, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 5741-5748
Open Access | Times Cited: 17
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
Concept Graph Neural Networks for Surgical Video Understanding
Yutong Ban, Jennifer A. Eckhoff, Thomas M. Ward, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 43, Iss. 1, pp. 264-274
Open Access | Times Cited: 10
Automated segmentation of phases, steps, and tasks in laparoscopic cholecystectomy using deep learning
Shruti R. Hegde, Babak Namazi, Niyenth Iyengar, et al.
Surgical Endoscopy (2023) Vol. 38, Iss. 1, pp. 158-170
Closed Access | Times Cited: 10
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