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:

Challenges in surgical video annotation
Thomas M. Ward, Danyal Fer, Yutong Ban, et al.
Computer Assisted Surgery (2021) Vol. 26, Iss. 1, pp. 58-68
Open Access | Times Cited: 41

Showing 1-25 of 41 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

A systematic review on artificial intelligence in robot-assisted surgery
Andrea Moglia, Κωνσταντίνος Γεωργίου, Evangelos Georgiou, et al.
International Journal of Surgery (2021) Vol. 95, pp. 106151-106151
Open Access | Times Cited: 111

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

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

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

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

AI-powered real-time annotations during urologic surgery: The future of training and quality metrics
Laura Zuluaga, Jordan Rich, Raghav Gupta, et al.
Urologic Oncology Seminars and Original Investigations (2023) Vol. 42, Iss. 3, pp. 57-66
Closed Access | Times Cited: 14

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

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

Bringing Artificial Intelligence to the operating room: edge computing for real-time surgical phase recognition
Sarah Choksi, Skyler L. Szot, Chengbo Zang, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 11, pp. 8778-8784
Closed Access | Times Cited: 9

Vitreoretinal Surgical Instrument Tracking in Three Dimensions Using Deep Learning
Pierre Baldi, Sherif Abdelkarim, Junze Liu, et al.
Translational Vision Science & Technology (2023) Vol. 12, Iss. 1, pp. 20-20
Open Access | Times Cited: 8

TEsoNet: knowledge transfer in surgical phase recognition from laparoscopic sleeve gastrectomy to the laparoscopic part of Ivor–Lewis esophagectomy
Jennifer A. Eckhoff, Yutong Ban, Guy Rosman, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 5, pp. 4040-4053
Open Access | Times Cited: 8

Surgical Phase Recognition in Inguinal Hernia Repair—AI-Based Confirmatory Baseline and Exploration of Competitive Models
Chengbo Zang, Mehmet Kerem Türkcan, Sanjeev Narasimhan, et al.
Bioengineering (2023) Vol. 10, Iss. 6, pp. 654-654
Open Access | Times Cited: 8

Acquisition and usage of robotic surgical data for machine learning analysis
Nasseh Hashemi, Morten Bo Søndergaard Svendsen, Flemming Bjerrum, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 8, pp. 6588-6601
Open Access | Times Cited: 7

Artificial intelligence in robot-assisted radical prostatectomy: where do we stand today?
Danny Darlington Carbin, A. Shah, V.R.M. Kusuma
Journal of Robotic Surgery (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 2

Breaking down the silos of artificial intelligence in surgery: glossary of terms
Andrea Moglia, Κωνσταντίνος Γεωργίου, Luca Morelli, et al.
Surgical Endoscopy (2022) Vol. 36, Iss. 11, pp. 7986-7997
Open Access | Times Cited: 10

Surgical Data Science -- from Concepts toward Clinical Translation
Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarikaya, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 14

Real-time near infrared artificial intelligence using scalable non-expert crowdsourcing in colorectal surgery
Garrett Skinner, Tina Chen, Gabriel Jentis, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 1

Towards reliable hepatocytic anatomy segmentation in laparoscopic cholecystectomy using U-Net with Auto-Encoder
Koloud N. Alkhamaiseh, Janos L. Grantner, Saad Shebrain, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 9, pp. 7358-7369
Closed Access | Times Cited: 4

Artificial Intelligence in Urology
Rayyan Abid, Ahmed A. Hussein, Khurshid A. Guru
Urologic Clinics of North America (2023) Vol. 51, Iss. 1, pp. 117-130
Closed Access | Times Cited: 4

Surgical Therapy of Esophageal Adenocarcinoma—Current Standards and Future Perspectives
Wölfgang Schröder, Suzanne S. Gisbertz, Daan M. Voeten, et al.
Cancers (2021) Vol. 13, Iss. 22, pp. 5834-5834
Open Access | Times Cited: 10

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

Proposal and multicentric validation of a laparoscopic Roux-en-Y gastric bypass surgery ontology
Joël L. Lavanchy, Cristians González, Hasan Kassem, et al.
Surgical Endoscopy (2022) Vol. 37, Iss. 3, pp. 2070-2077
Open Access | Times Cited: 7

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