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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 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

Showing 13 citing articles:

Renji endoscopic submucosal dissection video data set for early gastric cancer
Biaohua Chen, Xiangning Zhang, Chunjiang Gu, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Using artificial intelligence to evaluate adherence to best practices in one anastomosis gastric bypass: first steps in a real-world setting
Danit Dayan, Eran Nizri‏, Andrei Keidar
Surgical Endoscopy (2025)
Open Access
Implementation of Artificial Intelligence–Based Computer Vision Model for Sleeve Gastrectomy: Experience in One Tertiary Center
Danit Dayan
Obesity Surgery (2024) Vol. 34, Iss. 2, pp. 330-336
Closed Access | Times Cited: 4
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
Implementation of artificial intelligence-based computer vision model in laparoscopic appendectomy: validation, reliability, and clinical correlation
Danit Dayan, Nadav Dvir, Haneen Agbariya, et al.
Surgical Endoscopy (2024) Vol. 38, Iss. 6, pp. 3310-3319
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: 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: 1
Anatomical recognition of dissection layers, nerves, vas deferens, and microvessels using artificial intelligence during transabdominal preperitoneal inguinal hernia repair
Kazuhito Mita, Nao Kobayashi, Kunihiko Takahashi, et al.
Hernia (2024) Vol. 29, Iss. 1
Open Access | Times Cited: 1
Surgical Intelligence can Lead to Higher Adoption of Best Practices in Minimally Invasive Surgery
Gerald M. Fried, Monica Ortenzi, Danit Dayan, et al.
Annals of Surgery (2024)
Closed Access | Times Cited: 1
OSSAR: Towards Open-Set Surgical Activity Recognition in Robot-assisted Surgery
Long Bai, Guankun Wang, Jie Wang, et al.
(2024), pp. 14622-14629
Open Access | Times Cited: 1
“Chatbot-Enabled Surgical Risk Assessment: Towards safer and more predictable procedures"
Vikas V. Pawar, Sandeep Kumar Singh
Oral Oncology Reports (2024) Vol. 9, pp. 100153-100153
Open 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
Accuracy of warm ischemia time measurement using a surgical intelligence software in partial nephrectomies: A validation study
Archan Khandekar, Joao G. Porto, Jean Carlo Daher, et al.
BJUI Compass (2024) Vol. 5, Iss. 12, pp. 1263-1268
Open Access
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