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:

Surgical data science for next-generation interventions
Lena Maier‐Hein, S. Swaroop Vedula, Stefanie Speidel, et al.
Nature Biomedical Engineering (2017) Vol. 1, Iss. 9, pp. 691-696
Closed Access | Times Cited: 419

Showing 1-25 of 419 citing articles:

High-performance medicine: the convergence of human and artificial intelligence
Eric J. Topol
Nature Medicine (2018) Vol. 25, Iss. 1, pp. 44-56
Closed Access | Times Cited: 4765

Explainable machine-learning predictions for the prevention of hypoxaemia during surgery
Scott Lundberg, Bala G. Nair, Monica S. Vavilala, et al.
Nature Biomedical Engineering (2018) Vol. 2, Iss. 10, pp. 749-760
Open Access | Times Cited: 1486

Deep learning-enabled medical computer vision
Andre Esteva, Katherine Chou, Serena Yeung, et al.
npj Digital Medicine (2021) Vol. 4, Iss. 1
Open Access | Times Cited: 850

Autonomy for Surgical Robots: Concepts and Paradigms
Tamás Haidegger
IEEE Transactions on Medical Robotics and Bionics (2019) Vol. 1, Iss. 2, pp. 65-76
Closed Access | Times Cited: 221

Artificial Intelligence for Intraoperative Guidance
Amin Madani, Babak Namazi, Maria S. Altieri, et al.
Annals of Surgery (2020) Vol. 276, Iss. 2, pp. 363-369
Open Access | Times Cited: 220

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

Machine Learning for Surgical Phase Recognition
Carly R. Garrow, Karl‐Friedrich Kowalewski, Linhong Li, et al.
Annals of Surgery (2020) Vol. 273, Iss. 4, pp. 684-693
Open Access | Times Cited: 200

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: 187

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

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: 140

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

Robot-Assisted Minimally Invasive Surgery—Surgical Robotics in the Data Age
Tamás Haidegger, Stefanie Speidel, Danail Stoyanov, et al.
Proceedings of the IEEE (2022) Vol. 110, Iss. 7, pp. 835-846
Open Access | Times Cited: 99

Rendezvous: Attention mechanisms for the recognition of surgical action triplets in endoscopic videos
Chinedu Innocent Nwoye, Tong Yu, Cristians González, et al.
Medical Image Analysis (2022) Vol. 78, pp. 102433-102433
Open Access | Times Cited: 95

Machine learning for technical skill assessment in surgery: a systematic review
Kyle Lam, Junhong Chen, Zeyu Wang, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 91

Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 5, pp. 7374-7398
Open Access | Times Cited: 78

A vision transformer for decoding surgeon activity from surgical videos
Dani Kiyasseh, Runzhuo Ma, Taseen F. Haque, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 6, pp. 780-796
Open Access | Times Cited: 64

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark
Martin Wagner, Beat P. Müller‐Stich, Anna Kisilenko, et al.
Medical Image Analysis (2023) Vol. 86, pp. 102770-102770
Open Access | Times Cited: 49

Artificial intelligence in surgery
Chris Varghese, Ewen M. Harrison, Greg O’Grady, et al.
Nature Medicine (2024) Vol. 30, Iss. 5, pp. 1257-1268
Open Access | Times Cited: 43

Exploiting the potential of unlabeled endoscopic video data with self-supervised learning
Tobias Roß, David Zimmerer, Anant Vemuri, et al.
International Journal of Computer Assisted Radiology and Surgery (2018) Vol. 13, Iss. 6, pp. 925-933
Open Access | Times Cited: 136

Machine Learning Identification of Surgical and Operative Factors Associated With Surgical Expertise in Virtual Reality Simulation
Alexander Winkler-Schwartz, Recai Yilmaz, Nykan Mirchi, et al.
JAMA Network Open (2019) Vol. 2, Iss. 8, pp. e198363-e198363
Open Access | Times Cited: 128

Autonomous robotic intracardiac catheter navigation using haptic vision
Georgios Fagogenis, Margherita Mencattelli, Zurab Machaidze, et al.
Science Robotics (2019) Vol. 4, Iss. 29
Open Access | Times Cited: 123

DeepPhase: Surgical Phase Recognition in CATARACTS Videos
Odysseas Zisimopoulos, Evangello Flouty, Imanol Luengo, et al.
Lecture notes in computer science (2018), pp. 265-272
Closed Access | Times Cited: 113

Improving Operating Room Efficiency: Machine Learning Approach to Predict Case-Time Duration
Matthew A. Bartek, Rajeev C. Saxena, Stuart Solomon, et al.
Journal of the American College of Surgeons (2019) Vol. 229, Iss. 4, pp. 346-354e3
Open Access | Times Cited: 103

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

Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, et al.
International Journal of Computer Assisted Radiology and Surgery (2019) Vol. 14, Iss. 9, pp. 1611-1617
Open Access | Times Cited: 95

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