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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:

CATARACTS: Challenge on automatic tool annotation for cataRACT surgery
Hassan Al Hajj, Mathieu Lamard, Pierre-Henri Conze, et al.
Medical Image Analysis (2018) Vol. 52, pp. 24-41
Open Access | Times Cited: 99

Showing 26-50 of 99 citing articles:

Artificial intelligence in ophthalmopathy and ultra-wide field image: A survey
Jie Yang, Simon Fong, Han Wang, et al.
Expert Systems with Applications (2021) Vol. 182, pp. 115068-115068
Open Access | Times Cited: 26
Intelligent cataract surgery supervision and evaluation via deep learning
Ting Wang, Jun Xia, Ruiyang Li, et al.
International Journal of Surgery (2022) Vol. 104, pp. 106740-106740
Closed Access | Times Cited: 18
Trans-SVNet: hybrid embedding aggregation Transformer for surgical workflow analysis
Yueming Jin, Yonghao Long, Xiaojie Gao, et al.
International Journal of Computer Assisted Radiology and Surgery (2022) Vol. 17, Iss. 12, pp. 2193-2202
Open Access | Times Cited: 18
Mixed Reality Annotation of Robotic-Assisted Surgery videos with real- time tracking and stereo matching
Cristina Portalés, Jesús Gimeno, Antonio Salvador, et al.
Computers & Graphics (2022) Vol. 110, pp. 125-140
Open Access | Times Cited: 17
Surgical Tool Datasets for Machine Learning Research: A Survey
Mark Rodrigues, Michael Mayo, Panos Patros
International Journal of Computer Vision (2022) Vol. 130, Iss. 9, pp. 2222-2248
Open Access | Times Cited: 16
Beyond rankings: Learning (more) from algorithm validation
Tobias Roß, Pierangela Bruno, Annika Reinke, et al.
Medical Image Analysis (2023) Vol. 86, pp. 102765-102765
Open Access | Times Cited: 10
A new mixed reality tool for training in minimally invasive robotic-assisted surgery
Sergio Casas, Jesús Gimeno, Pablo Casanova-Salas, et al.
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 9
Use of Machine Learning to Assess Cataract Surgery Skill Level With Tool Detection
Jessica Ruzicki, Matthew S. Holden, Stephanie Cheon, et al.
Ophthalmology Science (2022) Vol. 3, Iss. 1, pp. 100235-100235
Open Access | Times Cited: 14
Artificial Intelligence for Anterior Segment Diseases: A Review of Potential Developments and Clinical Applications
Zhe Xu, Jia Xu, Ce Shi, et al.
Ophthalmology and Therapy (2023) Vol. 12, Iss. 3, pp. 1439-1455
Open Access | Times Cited: 7
Dynamic Scene Graph Representation for Surgical Video
Felix Holm, Ghazal Ghazaei, Tobias Czempiel, et al.
(2023), pp. 81-87
Open Access | Times Cited: 7
Surgical phase and instrument recognition: how to identify appropriate dataset splits
Georgii Kostiuchik, Lalith Sharan, Benedikt Mayer, et al.
International Journal of Computer Assisted Radiology and Surgery (2024) Vol. 19, Iss. 4, pp. 699-711
Open Access | Times Cited: 2
OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding
Ming Hu, Peng Xia, Lin Wang, et al.
Lecture notes in computer science (2024), pp. 481-500
Closed Access | Times Cited: 2
Revolutionizing healthcare: a comparative insight into deep learning’s role in medical imaging
Vivek Kumar Prasad, Ashwin Verma, Pronaya Bhattacharya, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Artificial intelligence and ophthalmic surgery
Kapil Mishra, Theodore Leng
Current Opinion in Ophthalmology (2021) Vol. 32, Iss. 5, pp. 425-430
Open Access | Times Cited: 17
Effective Semantic Segmentation in Cataract Surgery: What Matters Most?
Theodoros Pissas, Claudio S. Ravasio, Lyndon da Cruz, et al.
Lecture notes in computer science (2021), pp. 509-518
Closed Access | Times Cited: 17
Analysis of Cataract Surgery Instrument Identification Performance of Convolutional and Recurrent Neural Network Ensembles Leveraging BigCat
Nicholas Matton, Adel Qalieh, Yibing Zhang, et al.
Translational Vision Science & Technology (2022) Vol. 11, Iss. 4, pp. 1-1
Open Access | Times Cited: 10
Live laparoscopic video retrieval with compressed uncertainty
Tong Yu, Pietro Mascagni, Juan M. Verde, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102866-102866
Open Access | Times Cited: 5
Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models
Yannik Frisch, Moritz Fuchs, Antoine Sanner, et al.
Lecture notes in computer science (2023), pp. 354-364
Closed Access | Times Cited: 5
Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets
Chinedu Innocent Nwoye, Nicolas Padoy
arXiv (Cornell University) (2022)
Open Access | Times Cited: 8
Surgical Tool Detection in Open Surgery Videos
Ryo Fujii, Ryo Hachiuma, Hiroki Kajita, et al.
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10473-10473
Open Access | Times Cited: 8
Weakly Supervised Temporal Convolutional Networks for Fine-Grained Surgical Activity Recognition
Sanat Ramesh, Diego Dall’Alba, Cristians González, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 9, pp. 2592-2602
Open Access | Times Cited: 4
CatStep: Automated Cataract Surgical Phase Classification and Boundary Segmentation Leveraging Inflated 3D-Convolutional Neural Network Architectures and BigCat
Ossama Mahmoud, Han Zhang, Nicholas Matton, et al.
Ophthalmology Science (2023) Vol. 4, Iss. 1, pp. 100405-100405
Open Access | Times Cited: 4
Cataract-1K Dataset for Deep-Learning-Assisted Analysis of Cataract Surgery Videos
Negin Ghamsarian, Yosuf El‐Shabrawi, Sahar Nasirihaghighi, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1
Phase-specific augmented reality guidance for microscopic cataract surgery using spatiotemporal fusion network
Puxun Tu, Hongfei Ye, Haochen Shi, et al.
Information Fusion (2024) Vol. 113, pp. 102604-102604
Closed Access | Times Cited: 1
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

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