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:

Machine and deep learning for workflow recognition during surgery
Nicolas Padoy
Minimally Invasive Therapy & Allied Technologies (2019) Vol. 28, Iss. 2, pp. 82-90
Closed Access | Times Cited: 144

Showing 1-25 of 144 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

Artificial Intelligence for Surgical Safety
Pietro Mascagni, Armine Vardazaryan, Deepak Alapatt, et al.
Annals of Surgery (2020) Vol. 275, Iss. 5, pp. 955-961
Closed Access | Times Cited: 190

TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks
Tobias Czempiel, Magdalini Paschali, Matthias Keicher, et al.
Lecture notes in computer science (2020), pp. 343-352
Closed Access | Times Cited: 141

The Impact of Artificial Intelligence and Machine Learning in Organ Retrieval and Transplantation: A Comprehensive Review
David B. Olawade, Sheila Marinze, Nabeel Qureshi, et al.
Current Research in Translational Medicine (2025) Vol. 73, Iss. 2, pp. 103493-103493
Open Access | Times Cited: 2

Use of Multimodal Artificial Intelligence in Surgical Instrument Recognition
Syed Ali Haider, Olivia A. Ho, Sahar Borna, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 72-72
Open Access | Times Cited: 2

Gesture Recognition in Robotic Surgery: A Review
Beatrice van Amsterdam, Matthew J. Clarkson, Danail Stoyanov
IEEE Transactions on Biomedical Engineering (2021) Vol. 68, Iss. 6, pp. 2021-2035
Open Access | Times Cited: 98

Temporal Memory Relation Network for Workflow Recognition From Surgical Video
Yueming Jin, Yonghao Long, Cheng Chen, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 7, pp. 1911-1923
Open Access | Times Cited: 78

Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer
Xiaojie Gao, Yueming Jin, Yonghao Long, et al.
Lecture notes in computer science (2021), pp. 593-603
Closed Access | Times Cited: 78

OperA: Attention-Regularized Transformers for Surgical Phase Recognition
Tobias Czempiel, Magdalini Paschali, Daniel Ostler, et al.
Lecture notes in computer science (2021), pp. 604-614
Closed Access | Times Cited: 64

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

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

Operating Room Performance Optimization Metrics: a Systematic Review
Anne M. Schouten, Steven M. Flipse, Kim E. van Nieuwenhuizen, et al.
Journal of Medical Systems (2023) Vol. 47, Iss. 1
Open Access | Times Cited: 28

Evolution of the digital operating room: the place of video technology in surgery
Samy Cheikh Youssef, Kaled Haram, Jonathan Noël, et al.
Langenbeck s Archives of Surgery (2023) Vol. 408, Iss. 1
Open Access | Times Cited: 23

CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions
Tom Vercauteren, Mathias Unberath, Nicolas Padoy, et al.
Proceedings of the IEEE (2019) Vol. 108, Iss. 1, pp. 198-214
Open Access | Times Cited: 64

A Review on the Current Applications of Artificial Intelligence in the Operating Room
David C. Birkhoff, Anne Sophie H.M. van Dalen, Marlies P. Schijven
Surgical Innovation (2021) Vol. 28, Iss. 5, pp. 611-619
Open Access | Times Cited: 53

Exploring Segment-Level Semantics for Online Phase Recognition From Surgical Videos
Xinpeng Ding, Xiaomeng Li
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 11, pp. 3309-3319
Open Access | Times Cited: 33

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

Capturing artificial intelligence applications’ value proposition in healthcare – a qualitative research study
Jasmin Hennrich, E. Ritz, Peter Hofmann, et al.
BMC Health Services Research (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 6

Computer Vision in the Operating Room: Opportunities and Caveats
Lauren R. Kennedy-Metz, Pietro Mascagni, Antonio Torralba, et al.
IEEE Transactions on Medical Robotics and Bionics (2020) Vol. 3, Iss. 1, pp. 2-10
Open Access | Times Cited: 42

OR black box and surgical control tower: Recording and streaming data and analytics to improve surgical care
Pietro Mascagni, Nicolas Padoy
Journal of Visceral Surgery (2021) Vol. 158, Iss. 3, pp. S18-S25
Open Access | Times Cited: 38

Automated operative workflow analysis of endoscopic pituitary surgery using machine learning: development and preclinical evaluation (IDEAL stage 0)
Danyal Z. Khan, Imanol Luengo, Santiago Barbarisi, et al.
Journal of neurosurgery (2021) Vol. 137, Iss. 1, pp. 51-58
Open Access | Times Cited: 37

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

Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition
Kubilay Can Demir, Hannah Schieber, Tobias Weise, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 11, pp. 5405-5417
Open Access | Times Cited: 14

Towards markerless surgical tool and hand pose estimation
Jonas Hein, Matthias Seibold, Federica Bogo, et al.
International Journal of Computer Assisted Radiology and Surgery (2021) Vol. 16, Iss. 5, pp. 799-808
Open Access | Times Cited: 28

A deep learning spatial-temporal framework for detecting surgical tools in laparoscopic videos
Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Paul D. Docherty, et al.
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102801-102801
Closed Access | Times Cited: 28

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