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:

Automatic surgical phase recognition in laparoscopic inguinal hernia repair with artificial intelligence
Masashi Takeuchi, Toby Collins, Adolphe Ndagijimana, et al.
Hernia (2022) Vol. 26, Iss. 6, pp. 1669-1678
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

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

Automated artificial intelligence–based phase-recognition system for esophageal endoscopic submucosal dissection (with video)
Tasuku Furube, Masashi Takeuchi, Hirofumi Kawakubo, et al.
Gastrointestinal Endoscopy (2024) Vol. 99, Iss. 5, pp. 830-838
Closed Access | Times Cited: 7

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

A novel high accuracy model for automatic surgical workflow recognition using artificial intelligence in laparoscopic totally extraperitoneal inguinal hernia repair (TEP)
Monica Ortenzi, Judith Rapoport Ferman, Alenka Antolin, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 11, pp. 8818-8828
Open Access | Times Cited: 13

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

Artificial intelligence for intraoperative video analysis in robotic-assisted esophagectomy
Amila Cizmic, Anuja T. Mitra, Anas Amin Preukschas, et al.
Surgical Endoscopy (2025)
Open Access

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

Artificial Intelligence Assisted Recognition of Anatomical Landmarks and Laparoscopic Instruments in Transabdominal Preperitoneal Inguinal Hernia Repair
Apollon Zygomalas, Dimitris Kalles, Nikolaos Katsiakis, et al.
Surgical Innovation (2024) Vol. 31, Iss. 2, pp. 178-184
Closed Access | Times Cited: 3

Machine learning, deep learning and hernia surgery. Are we pushing the limits of abdominal core health? A qualitative systematic review
Diego Laurentino Lima, J P G Kasakewitch, Dinh Quang Nguyen, et al.
Hernia (2024) Vol. 28, Iss. 4, pp. 1405-1412
Closed Access | Times Cited: 3

Usefulness of an Artificial Intelligence Model in Recognizing Recurrent Laryngeal Nerves During Robot-Assisted Minimally Invasive Esophagectomy
Tasuku Furube, Masashi Takeuchi, Hirofumi Kawakubo, et al.
Annals of Surgical Oncology (2024)
Closed Access | Times Cited: 3

Towards automatic verification of the critical view of the myopectineal orifice with artificial intelligence
Masashi Takeuchi, Toby Collins, Clement Lipps, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 6, pp. 4525-4534
Closed Access | Times Cited: 8

Artificial Intelligence in Surgery and Its Potential for Gastric Cancer
Takahiro Kinoshita, Masaru Komatsu
Journal of the Korean Gastric Cancer Association (2023) Vol. 23, Iss. 3, pp. 400-400
Open Access | Times Cited: 8

Evaluating surgical expertise with AI‐based automated instrument recognition for robotic distal gastrectomy
James S. Strong, Tasuku Furube, Masashi Takeuchi, et al.
Annals of Gastroenterological Surgery (2024) Vol. 8, Iss. 4, pp. 611-619
Open Access | Times Cited: 2

Artificial Intelligence in Surgery: A Systematic Review of Use and Validation
Nitzan Kenig, Javier Montón Echeverría, Aina Muntaner Vives
Journal of Clinical Medicine (2024) Vol. 13, Iss. 23, pp. 7108-7108
Open Access | Times Cited: 2

Artificial intelligence for automatic surgical phase recognition of laparoscopic gastrectomy in gastric cancer
Yuhao Zhai, Zhen Chen, Zhi Zheng, et al.
International Journal of Computer Assisted Radiology and Surgery (2023) Vol. 19, Iss. 2, pp. 345-353
Closed Access | Times Cited: 6

Artificial intelligence in surgery
Simon Laplante, Amin Madani
Elsevier eBooks (2023), pp. 211-216
Closed Access | Times Cited: 4

ASO Author Reflections: Can Artificial Intelligence Evaluate the Surgical Learning Curve of Robot-Assisted Minimally Invasive Esophagectomy?
Masashi Takeuchi, Hirofumi Kawakubo, Kosuke Saito, et al.
Annals of Surgical Oncology (2022) Vol. 29, Iss. 11, pp. 6856-6857
Closed Access | Times Cited: 4

The relationship between the esophageal endoscopic submucosal dissection technical difficulty and its intraoperative process
Tasuku Furube, Masashi Takeuchi, Hirofumi Kawakubo, et al.
Esophagus (2022) Vol. 20, Iss. 2, pp. 264-271
Closed Access | Times Cited: 3

Assessment of Automated Identification of Phases in Videos of Total Hip Arthroplasty Using Deep Learning Techniques
Yang Jae Kang, Shin June Kim, Sung‐Hyo Seo, et al.
Clinics in Orthopedic Surgery (2024) Vol. 16, Iss. 2, pp. 210-210
Open Access

Computational Analysis and Classification of Hernia Repairs
Hana Charvátová, Barbora East, Aleš Procházka, et al.
Applied Sciences (2024) Vol. 14, Iss. 8, pp. 3236-3236
Open Access

Artificial Intelligence in Predicting Postoperative Surgical Complications
Kaushik Bhattacharya, Neela Bhattacharya, Sandeep Kumar, et al.
Indian Journal of Surgery (2024) Vol. 87, Iss. 1, pp. 5-9
Closed Access

Anwendungen Künstlicher Intelligenz (KI) in der minimalinvasiven Chirurgie
Joël L. Lavanchy, Nicolas Padoy
Springer eBooks (2024), pp. 597-600
Closed Access

Artificial Intelligence—What to Expect From Machine Learning and Deep Learning in Hernia Surgery
Robert L. Vogel, Björn Mück
Journal of Abdominal Wall Surgery (2024) Vol. 3
Open Access

Machine learning perioperative applications in visceral surgery: a narrative review
Intekhab Hossain, Amin Madani, Simon Laplante
Frontiers in Surgery (2024) Vol. 11
Open Access

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