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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 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

Showing 13 citing articles:

Benchmarking 2D human pose estimators and trackers for workflow analysis in the cardiac catheterization laboratory
Rick M. Bütler, Emanuele Frassini, Teddy S Vijfvinkel, et al.
Medical Engineering & Physics (2025) Vol. 136, pp. 104289-104289
Open Access | Times Cited: 1
LapEx: A new multimodal dataset for context recognition and practice assessment in laparoscopic surgery
Arthur Derathé, Fabián Reche, Sylvain Guy, et al.
Scientific Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
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: 5
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
Artificial Intelligence in Cataract Surgery: A Systematic Review
Simon Müller, Mohit Jain, Bhuvan Sachdeva, et al.
Translational Vision Science & Technology (2024) Vol. 13, Iss. 4, pp. 20-20
Open Access | Times Cited: 4
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
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
NeurostimML: a machine learning model for predicting neurostimulation-induced tissue damage
Yi Li, Rebecca A. Frederick, Daniel George, et al.
Journal of Neural Engineering (2024) Vol. 21, Iss. 3, pp. 036054-036054
Open Access | Times Cited: 2
Deep learning for surgical workflow analysis: a survey of progresses, limitations, and trends
Yunlong Li, Zijian Zhao, Renbo Li, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access | Times Cited: 1
Controversies in Artificial Intelligence in Neurosurgery
Recai Yilmaz, Samuel R. Browd, Daniel A. Donoho
Neurosurgery Clinics of North America (2024) Vol. 36, Iss. 1, pp. 91-100
Closed Access | Times Cited: 1
NeurostimML: A machine learning model for predicting neurostimulation-induced tissue damage
Yi Li, Rebecca A. Frederick, Daniel George, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Transferable situation recognition system for scenario-independent context-aware surgical assistance systems: a proof of concept
Denise Junger, Christian Kücherer, Bernhard Hirt, et al.
International Journal of Computer Assisted Radiology and Surgery (2024)
Open Access
2D Human Pose Tracking in the Cardiac Catheterisation Laboratory with BYTE
Rick M. Bütler, Teddy S Vijfvinkel, Emanuele Frassini, et al.
Medical Engineering & Physics (2024) Vol. 135, pp. 104270-104270
Open Access
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