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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:

LRTD: long-range temporal dependency based active learning for surgical workflow recognition
Xueying Shi, Yueming Jin, Qi Dou, et al.
International Journal of Computer Assisted Radiology and Surgery (2020) Vol. 15, Iss. 9, pp. 1573-1584
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Clinical applications of artificial intelligence in robotic surgery
J Knudsen, Umar Ghaffar, Runzhuo Ma, et al.
Journal of Robotic Surgery (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 47
Deep Learning Based Image Processing for Robot Assisted Surgery: A Systematic Literature Survey
Sardar Mehboob Hussain, Antonio Brunetti, Giuseppe Lucarelli, et al.
IEEE Access (2022) Vol. 10, pp. 122627-122657
Open Access | Times Cited: 24
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
On the pitfalls of Batch Normalization for end-to-end video learning: A study on surgical workflow analysis
Dominik Rivoir, Isabel Funke, Stefanie Speidel
Medical Image Analysis (2024) Vol. 94, pp. 103126-103126
Open Access | Times Cited: 5
Generalization of a Deep Learning Model for Continuous Glucose Monitoring–Based Hypoglycemia Prediction: Algorithm Development and Validation Study
Jian Shao, Ying Pan, Wei-Bin Kou, et al.
JMIR Medical Informatics (2024) Vol. 12, pp. e56909-e56909
Open Access | Times Cited: 5
Less Is More: Surgical Phase Recognition From Timestamp Supervision
Xinpeng Ding, Xinjian Yan, Zixun Wang, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 6, pp. 1897-1910
Open Access | Times Cited: 12
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
Speech-Based Surgical Phase Recognition for Non-Intrusive Surgical Skills’ Assessment in Educational Contexts
Carmen Guzmán-García, Marcos Gómez-Tome, Patricia Sánchez González, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1330-1330
Open Access | Times Cited: 20
Attention-based spatial–temporal neural network for accurate phase recognition in minimally invasive surgery: feasibility and efficiency verification
Pan Shi, Zijian Zhao, Kaidi Liu, et al.
Journal of Computational Design and Engineering (2022) Vol. 9, Iss. 2, pp. 406-416
Open Access | Times Cited: 15
LAST: LAtent Space-Constrained Transformers for Automatic Surgical Phase Recognition and Tool Presence Detection
Rong Tao, Xiaoyang Zou, Guoyan Zheng
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 11, pp. 3256-3268
Closed Access | Times Cited: 8
Hybrid Spatiotemporal Contrastive Representation Learning for Content-Based Surgical Video Retrieval
Vidit Kumar, Vikas Tripathi, Bhaskar Pant, et al.
Electronics (2022) Vol. 11, Iss. 9, pp. 1353-1353
Open Access | Times Cited: 13
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
Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows
Yutong Ban, Guy Rosman, Thomas M. Ward, et al.
(2021)
Open Access | Times Cited: 15
Cascade Multi-Level Transformer Network for Surgical Workflow Analysis
Wenxi Yue, Hongen Liao, Yong Xia, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 10, pp. 2817-2831
Closed Access | Times Cited: 5
Robustness of Convolutional Neural Networks for Surgical Tool Classification in Laparoscopic Videos from Multiple Sources and of Multiple Types: A Systematic Evaluation
Tamer Abdulbaki Alshirbaji, Nour Aldeen Jalal, Paul D. Docherty, et al.
Electronics (2022) Vol. 11, Iss. 18, pp. 2849-2849
Open Access | Times Cited: 8
Correlation-aware active learning for surgery video segmentation
Fei Wu, Pablo Márquez-Neila, M.Y. Zheng, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 1999-2009
Open 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
Evaluation of single-stage vision models for pose estimation of surgical instruments
William S. Burton, Casey A. Myers, Matthew J. Rutherford, et al.
International Journal of Computer Assisted Radiology and Surgery (2023) Vol. 18, Iss. 12, pp. 2125-2142
Closed Access | Times Cited: 2
Importance of the Data in the Surgical Environment
Dominik Rivoir, Martin Wagner, Sebastian Bodenstedt, et al.
(2024), pp. 29-43
Closed Access
SGR-AutoLap: Surgical gesture recognition-based autonomous laparoscope control for human-robot shared control in semi-autonomous minimally invasive surgical robot
Yanwen Sun, Xiaojing Shi, Shixun Zhai, et al.
Robotic Intelligence and Automation (2024)
Closed Access
Analytics of deep model-based spatiotemporal and spatial feature learning methods for surgical action classification
Rachana S. Oza, Mayuri A. Mehta, Ketan Kotecha, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 17, pp. 52275-52303
Closed Access | Times Cited: 1
On the Pitfalls of Batch Normalization for End-to-End Video Learning: A Study on Surgical Workflow Analysis
Dominik Rivoir, Isabel Funke, Stefanie Speidel
arXiv (Cornell University) (2022)
Open Access | Times Cited: 2
Hard frame detection for the automated clipping of surgical nasal endoscopic video
Hongyu Wang, Xiaoying Pan, Hao Zhao, et al.
International Journal of Computer Assisted Radiology and Surgery (2021) Vol. 16, Iss. 2, pp. 231-240
Closed Access | Times Cited: 2
Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition
Kubilay Can Demir, Hannah Schieber, Tobias Weise, et al.
(2023)
Open Access
Active Learning—Review
K. C. Santosh, Suprim Nakarmi
SpringerBriefs in applied sciences and technology (2023), pp. 19-30
Closed Access
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