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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:

Federated Cycling (FedCy): Semi-Supervised Federated Learning of Surgical Phases
Hasan Kassem, Deepak Alapatt, Pietro Mascagni, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 42, Iss. 7, pp. 1920-1931
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Computer vision in surgery: from potential to clinical value
Pietro Mascagni, Deepak Alapatt, Luca Sestini, 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: 79
Federated learning for medical image analysis: A survey
Hao Guan, Pew‐Thian Yap, Andrea Bozoki, et al.
Pattern Recognition (2024) Vol. 151, pp. 110424-110424
Open Access | Times Cited: 70
Federated Learning for Medical Image Analysis with Deep Neural Networks
Sajid Nazir, Mohammad Kaleem
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1532-1532
Open Access | Times Cited: 41
Smart meter-based energy consumption forecasting for smart cities using adaptive federated learning
Nawaf Abdulla, Mehmet Demirci, Suat Özdemi̇r
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101342-101342
Closed Access | Times Cited: 20
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
Federated Learning for Healthcare Applications
Ahmad Chaddad, Yihang Wu, Christian Desrosiers
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 5, pp. 7339-7358
Closed Access | Times Cited: 21
Challenges in multi-centric generalization: phase and step recognition in Roux-en-Y gastric bypass surgery
Joël L. Lavanchy, Sanat Ramesh, Diego Dall’Alba, et al.
International Journal of Computer Assisted Radiology and Surgery (2024) Vol. 19, Iss. 11, pp. 2249-2257
Open Access | Times Cited: 6
Review of Federated Learning and Machine Learning-Based Methods for Medical Image Analysis
Netzahualcoyotl Hernandez-Cruz, Pramit Saha, Md. Mostafa Kamal Sarker, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 9, pp. 99-99
Open Access | Times Cited: 5
Age-based disease prediction and health monitoring: integrating explainable AI and deep learning techniques
G. Sushmitha, Sairam Utukuru
Iran Journal of Computer Science (2025)
Closed Access
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
Surgical video workflow analysis via visual-language learning
Pengpeng Li, Xiangbo Shu, Chun-Mei Feng, et al.
(2025) Vol. 2, Iss. 1
Open Access
Federated learning for Healthcare 5.0: a comprehensive survey, taxonomy, challenges, and solutions
Muhammad Amin, Shabir Ahmad, Woong-Kee Loh
Soft Computing (2025)
Closed Access
pFedBCC: Personalizing Federated multi-target domain adaptive segmentation via Bi-pole Collaborative Calibration
Huaqi Zhang, Pengyu Wang, Jie Liu, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 263, pp. 108635-108635
Closed Access
Artificial intelligence-assisted phase recognition and skill assessment in laparoscopic surgery: a systematic review
Wenqiang Liao, Ying Zhu, Hanwei Zhang, et al.
Frontiers in Surgery (2025) Vol. 12
Open Access
Contrastive encoder pre-training-based clustered federated learning for heterogeneous data
Ye Lin Tun, Minh N. H. Nguyen, Chu Myaet Thwal, et al.
Neural Networks (2023) Vol. 165, pp. 689-704
Open Access | Times Cited: 8
Medical Imaging Applications of Federated Learning
Sukhveer Singh Sandhu, Hamed Taheri Gorji, Pantea Tavakolian, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3140-3140
Open Access | Times Cited: 8
Survey of Medical Applications of Federated Learning
Geunho Choi, Won Chul, Se Uk Lee, et al.
Healthcare Informatics Research (2024) Vol. 30, Iss. 1, pp. 3-15
Open Access | Times Cited: 2
FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers
Yuzhi Liu, Huisi Wu, Jing Qin
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 4, pp. 3837-3845
Open Access | Times Cited: 2
LEAF: A Federated Learning-Aware Privacy-Preserving Framework for Healthcare Ecosystem
Nisarg Patel, Raj Parekh, Saad Amin, et al.
IEEE Transactions on Network and Service Management (2023) Vol. 21, Iss. 1, pp. 1129-1141
Closed Access | Times Cited: 4
Task Segmentation Based on Transition State Clustering for Surgical Robot Assistance
Yutaro Yamada, Jacinto Colan, Ana Davila, et al.
(2023), pp. 260-264
Open Access | Times Cited: 4
Deep federated learning hybrid optimization model based on encrypted aligned data
Zhongnan Zhao, Xiaoliang Liang, Hai Huang, et al.
Pattern Recognition (2023) Vol. 148, pp. 110193-110193
Closed Access | Times Cited: 4
Federated Learning for Predictive Healthcare Analytics: From theory to real world applications
Neeta Rana, Hitesh Marwaha
BIO Web of Conferences (2024) Vol. 86, pp. 01003-01003
Open Access | Times Cited: 1
Differentially-Private Federated Learning with Non-IID Data for Surgical Risk Prediction
Bjarne Pfitzner, Max M. Maurer, Axel Winter, et al.
(2024), pp. 120-129
Closed Access | Times Cited: 1
FedCPG: A class prototype guided personalized lightweight federated learning framework for cross-factory fault detection
Haodong Li, X. Wang, Peng Cao, et al.
Computers in Industry (2024) Vol. 164, pp. 104180-104180
Closed Access | Times Cited: 1
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