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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:

Machine Learning for Surgical Phase Recognition
Carly R. Garrow, Karl‐Friedrich Kowalewski, Linhong Li, et al.
Annals of Surgery (2020) Vol. 273, Iss. 4, pp. 684-693
Open Access | Times Cited: 200

Showing 1-25 of 200 citing articles:

Robot-Assisted Minimally Invasive Surgery—Surgical Robotics in the Data Age
Tamás Haidegger, Stefanie Speidel, Danail Stoyanov, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 7, pp. 835-846
Open Access | Times Cited: 99
Machine learning for technical skill assessment in surgery: a systematic review
Kyle Lam, Junhong Chen, Zeyu Wang, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 91
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
Human Health during Space Travel: State-of-the-Art Review
Chayakrit Krittanawong, Nitin K. Singh, Richard A. Scheuring, et al.
Cells (2022) Vol. 12, Iss. 1, pp. 40-40
Open Access | Times Cited: 74
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
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
Artificial intelligence in surgery
Chris Varghese, Ewen M. Harrison, Greg O’Grady, et al.
Nature Medicine (2024) Vol. 30, Iss. 5, pp. 1257-1268
Open Access | Times Cited: 43
Current and future applications of artificial intelligence in surgery: implications for clinical practice and research
Miranda X. Morris, Davide Fiocco, Tommaso Caneva, et al.
Frontiers in Surgery (2024) Vol. 11
Open Access | Times Cited: 18
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
The Impact of Machine Learning on 2D/3D Registration for Image-Guided Interventions: A Systematic Review and Perspective
Mathias Unberath, Cong Gao, Yicheng Hu, et al.
Frontiers in Robotics and AI (2021) Vol. 8
Open Access | Times Cited: 62
OperA: Attention-Regularized Transformers for Surgical Phase Recognition
Tobias Czempiel, Magdalini Paschali, Daniel Ostler, et al.
Lecture notes in computer science (2021), pp. 604-614
Closed Access | Times Cited: 62
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
Surgical data science and artificial intelligence for surgical education
Thomas M. Ward, Pietro Mascagni, Amin Madani, et al.
Journal of Surgical Oncology (2021) Vol. 124, Iss. 2, pp. 221-230
Closed Access | Times Cited: 56
The challenges of deep learning in artificial intelligence and autonomous actions in surgery: a literature review
Heba Taher, Vincent Grasso, Sherifa Tawfik, et al.
Artificial Intelligence Surgery (2022) Vol. 2, Iss. 3, pp. 144-58
Open Access | Times Cited: 42
Deep Learning Applications in Surgery: Current Uses and Future Directions
Miranda X. Morris, Aashish Rajesh, Malke Asaad, et al.
The American Surgeon (2022) Vol. 89, Iss. 1, pp. 36-42
Closed Access | Times Cited: 41
Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases
Hasan Kassem, Deepak Alapatt, Pietro Mascagni, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 7, pp. 1920-1931
Open Access | Times Cited: 39
Advanced User Interfaces for Teleoperated Surgical Robotic Systems
Chi Cong Nguyen, Shing Wai Wong, Mai Thanh Thai, et al.
Advanced Sensor Research (2023) Vol. 2, Iss. 4
Open Access | Times Cited: 25
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
Evolution of the digital operating room: the place of video technology in surgery
Samy Cheikh Youssef, Kaled Haram, Jonathan Noël, et al.
Langenbeck s Archives of Surgery (2023) Vol. 408, Iss. 1
Open Access | Times Cited: 23
Current and Future Advances in Surgical Therapy for Pituitary Adenoma
Danyal Z. Khan, John Hanrahan, Stephanie Baldeweg, et al.
Endocrine Reviews (2023) Vol. 44, Iss. 5, pp. 947-959
Open Access | Times Cited: 23
Intraoperative video analysis and machine learning models will change the future of surgical training
Michal Kawka, Tamara Gall, Chihua Fang, et al.
Intelligent Surgery (2021) Vol. 1, pp. 13-15
Open Access | Times Cited: 44
The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature
Andrew A. Gumbs, Vincent Grasso, Nicolas Bourdel, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4918-4918
Open Access | Times Cited: 37
Automated Surgical-Phase Recognition for Robot-Assisted Minimally Invasive Esophagectomy Using Artificial Intelligence
Masashi Takeuchi, Hirofumi Kawakubo, Kosuke Saito, et al.
Annals of Surgical Oncology (2022) Vol. 29, Iss. 11, pp. 6847-6855
Closed Access | Times Cited: 33
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
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