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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:

A Computer Vision Platform to Automatically Locate Critical Events in Surgical Videos
Pietro Mascagni, Deepak Alapatt, Takeshi Urade, et al.
Annals of Surgery (2021) Vol. 274, Iss. 1, pp. e93-e95
Closed Access | Times Cited: 64

Showing 1-25 of 64 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
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
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
Artificial Intelligence and Surgery: Ethical Dilemmas and Open Issues
Lorenzo Cobianchi, Juan M. Verde, Tyler J. Loftus, et al.
Journal of the American College of Surgeons (2022) Vol. 235, Iss. 2, pp. 268-275
Closed Access | Times Cited: 51
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
Automated segmentation by deep learning of loose connective tissue fibers to define safe dissection planes in robot-assisted gastrectomy
Yuta Kumazu, Nao Kobayashi, Naoki Kitamura, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 49
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
Validation of an artificial intelligence platform for the guidance of safe laparoscopic cholecystectomy
Simon Laplante, Babak Namazi, Parmiss Kiani, et al.
Surgical Endoscopy (2022) Vol. 37, Iss. 3, pp. 2260-2268
Closed Access | Times Cited: 34
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 software available for medical devices: surgical phase recognition in laparoscopic cholecystectomy
Ken’ichi Shinozuka, Sayaka Turuda, Atsuro Fujinaga, et al.
Surgical Endoscopy (2022) Vol. 36, Iss. 10, pp. 7444-7452
Open Access | Times Cited: 26
Current applications of artificial intelligence-based computer vision in laparoscopic surgery
Kangwei Guo, Haisu Tao, Yilin Zhu, et al.
Laparoscopic Endoscopic and Robotic Surgery (2023) Vol. 6, Iss. 3, pp. 91-96
Open Access | Times Cited: 14
SAGES video acquisition framework—analysis of available OR recording technologies by the SAGES AI task force
Filippo Filicori, Daniel P. Bitner, Hans F. Fuchs, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 6, pp. 4321-4327
Closed Access | Times Cited: 13
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
Analyzing the impact of surgical technique on intraoperative adverse events in laparoscopic Roux-en-Y gastric bypass surgery by video-based assessment
Joël L. Lavanchy, Deepak Alapatt, Luca Sestini, et al.
Surgical Endoscopy (2025)
Open Access
Systematic review on the use of artificial intelligence to identify anatomical structures during laparoscopic cholecystectomy: a tool towards the future
Diletta Corallino, Andrea Balla, Diego Coletta, et al.
Langenbeck s Archives of Surgery (2025) Vol. 410, Iss. 1
Open Access
The Role of AI in Modern Hernia Surgery: A Review and Practical Insights
Gabriela Restrepo-Rodas, Juan S. Barajas‐Gamboa, Freddy Miguel Ortiz Aparicio, et al.
Surgical Innovation (2025)
Closed Access
Critical View of Safety assessment in sentinel node dissection for endometrial and cervical cancer: Artificial intelligence to enhance surgical safety and lymph node detection (LYSE study).
Matteo Pavone, Britty Baby, Emma Carles, et al.
International Journal of Gynecological Cancer (2025), pp. 101789-101789
Open Access
Artificial intelligence-enhanced video-based assessment of surgical quality for training in laparoscopic right hemicolectomy: The “Marginal Gains” pilot study
Salvador Morales‐Conde, Arlene Pérez Durán, Andrea Balla, et al.
European Journal of Surgical Oncology (2025), pp. 110010-110010
Closed Access
Intraoperative Time-Out to Promote the Implementation of the Critical View of Safety in Laparoscopic Cholecystectomy: A Video-Based Assessment of 343 Procedures
Pietro Mascagni, María Rita Rodríguez‐Luna, Takeshi Urade, et al.
Journal of the American College of Surgeons (2021) Vol. 233, Iss. 4, pp. 497-505
Open Access | Times Cited: 30
An artificial intelligence-based nerve recognition model is useful as surgical support technology and as an educational tool in laparoscopic and robot-assisted rectal cancer surgery
Kazuya Kinoshita, Tetsuro Maruyama, Nao Kobayashi, et al.
Surgical Endoscopy (2024) Vol. 38, Iss. 9, pp. 5394-5404
Open Access | Times Cited: 4
Multicentric validation of EndoDigest: a computer vision platform for video documentation of the critical view of safety in laparoscopic cholecystectomy
Pietro Mascagni, Deepak Alapatt, Giovanni Guglielmo Laracca, et al.
Surgical Endoscopy (2022) Vol. 36, Iss. 11, pp. 8379-8386
Closed Access | Times Cited: 17
Preserving privacy in surgical video analysis using a deep learning classifier to identify out-of-body scenes in endoscopic videos
Joël L. Lavanchy, Armine Vardazaryan, Pietro Mascagni, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
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