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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:

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

Showing 1-25 of 113 citing articles:

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
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: 96
Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos
Chinedu Innocent Nwoye, Didier Mutter, Jacques Marescaux, et al.
International Journal of Computer Assisted Radiology and Surgery (2019) Vol. 14, Iss. 6, pp. 1059-1067
Open Access | Times Cited: 116
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: 77
Evolving robotic surgery training and improving patient safety, with the integration of novel technologies
I‐Hsuan Chen, Ahmed Ghazi, Ashwin Sridhar, et al.
World Journal of Urology (2020) Vol. 39, Iss. 8, pp. 2883-2893
Open Access | Times Cited: 76
Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures
Sanat Ramesh, Diego Dall’Alba, Cristians González, et al.
International Journal of Computer Assisted Radiology and Surgery (2021)
Open Access | Times Cited: 59
Dissecting self-supervised learning methods for surgical computer vision
Sanat Ramesh, Vinkle Srivastav, Deepak Alapatt, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102844-102844
Open Access | Times Cited: 25
Impact of data on generalization of AI for surgical intelligence applications
Omri Bar, Daniel Neimark, Maya Zohar, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 68
The era of artificial intelligence and virtual reality: transforming surgical education in ophthalmology
Shaunak K. Bakshi, Shawn R. Lin, Daniel Shu Wei Ting, et al.
British Journal of Ophthalmology (2020) Vol. 105, Iss. 10, pp. 1325-1328
Closed Access | Times Cited: 58
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
Chinedu Innocent Nwoye, Cristians González, Tong Yu, et al.
Lecture notes in computer science (2020), pp. 364-374
Open Access | Times Cited: 58
Pituitary society expert Delphi consensus: operative workflow in endoscopic transsphenoidal pituitary adenoma resection
Hani J. Marcus, Danyal Z. Khan, Anouk Borg, et al.
Pituitary (2021) Vol. 24, Iss. 6, pp. 839-853
Open Access | Times Cited: 44
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
IndustReal: A Dataset for Procedure Step Recognition Handling Execution Errors in Egocentric Videos in an Industrial-Like Setting
Tim J. Schoonbeek, Tim Houben, Hans Onvlee, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 4353-4362
Open Access | Times Cited: 6
Active learning using deep Bayesian networks for surgical workflow analysis
Sebastian Bodenstedt, Dominik Rivoir, Alexander C. Jenke, et al.
International Journal of Computer Assisted Radiology and Surgery (2019) Vol. 14, Iss. 6, pp. 1079-1087
Open Access | Times Cited: 52
Objective assessment of intraoperative technical skill in capsulorhexis using videos of cataract surgery
Tae Soo Kim, Molly O’Brien, Sidra Zafar, et al.
International Journal of Computer Assisted Radiology and Surgery (2019) Vol. 14, Iss. 6, pp. 1097-1105
Closed Access | Times Cited: 49
Real‐time surgical instrument detection in robot‐assisted surgery using a convolutional neural network cascade
Zijian Zhao, Tongbiao Cai, Faliang Chang, et al.
Healthcare Technology Letters (2019) Vol. 6, Iss. 6, pp. 275-279
Open Access | Times Cited: 46
An Anchor-Free Convolutional Neural Network for Real-Time Surgical Tool Detection in Robot-Assisted Surgery
Yuying Liu, Zijian Zhao, Faliang Chang, et al.
IEEE Access (2020) Vol. 8, pp. 78193-78201
Open Access | Times Cited: 44
Automatic Gesture Recognition in Robot-assisted Surgery with Reinforcement Learning and Tree Search
Xiaojie Gao, Yueming Jin, Qi Dou, et al.
(2020) Vol. 550, pp. 8440-8446
Open Access | Times Cited: 40
Assisted phase and step annotation for surgical videos
Gurvan Lécuyer, Martin Ragot, Nicolas Martin, et al.
International Journal of Computer Assisted Radiology and Surgery (2020) Vol. 15, Iss. 4, pp. 673-680
Closed Access | Times Cited: 39
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
Development of a code-free machine learning model for the classification of cataract surgery phases
Samir Touma, Fares Antaki, Renaud Duval
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 27
Evaluation of Artificial Intelligence–Based Intraoperative Guidance Tools for Phacoemulsification Cataract Surgery
Rogerio Garcia Nespolo, Darvin Yi, Emily Cole, et al.
JAMA Ophthalmology (2022) Vol. 140, Iss. 2, pp. 170-170
Open Access | Times Cited: 23
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 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: 13
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