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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:

Swarm Learning for decentralized and confidential clinical machine learning
Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry, et al.
Nature (2021) Vol. 594, Iss. 7862, pp. 265-270
Open Access | Times Cited: 593

Showing 1-25 of 593 citing articles:

Scientific discovery in the age of artificial intelligence
Hanchen Wang, Tianfan Fu, Yuanqi Du, et al.
Nature (2023) Vol. 620, Iss. 7972, pp. 47-60
Closed Access | Times Cited: 641
Multimodal biomedical AI
Julián Acosta, Guido J. Falcone, Pranav Rajpurkar, et al.
Nature Medicine (2022) Vol. 28, Iss. 9, pp. 1773-1784
Open Access | Times Cited: 547
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief, Yuanming Shi, Jianmin Lu, et al.
IEEE Journal on Selected Areas in Communications (2021) Vol. 40, Iss. 1, pp. 5-36
Open Access | Times Cited: 399
Outlook on human-centric manufacturing towards Industry 5.0
Yuqian Lu, Hao Zheng, Saahil Chand, et al.
Journal of Manufacturing Systems (2022) Vol. 62, pp. 612-627
Closed Access | Times Cited: 390
Federated Learning for Smart Healthcare: A Survey
Dinh C. Nguyen, Quoc‐Viet Pham, Pubudu N. Pathirana, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 3, pp. 1-37
Open Access | Times Cited: 371
Communication-efficient federated learning via knowledge distillation
Chuhan Wu, Fangzhao Wu, Lingjuan Lyu, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 250
Artificial intelligence in histopathology: enhancing cancer research and clinical oncology
Artem Shmatko, Narmin Ghaffari Laleh, Moritz Gerstung, et al.
Nature Cancer (2022) Vol. 3, Iss. 9, pp. 1026-1038
Closed Access | Times Cited: 238
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu, Han Yu, Xingjun Ma, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 7, pp. 8726-8746
Open Access | Times Cited: 208
Towards Personalized Federated Learning
Alysa Ziying Tan, Han Yu, Lizhen Cui, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 12, pp. 9587-9603
Open Access | Times Cited: 181
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare
Jean Feng, Rachael V. Phillips, Ivana Malenica, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 171
Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Anichur Rahman, Md. Sazzad Hossain, Ghulam Muhammad, et al.
Cluster Computing (2022) Vol. 26, Iss. 4, pp. 2271-2311
Open Access | Times Cited: 162
Swarm learning for decentralized artificial intelligence in cancer histopathology
Oliver Lester Saldanha, Philip Quirke, Nicholas P. West, et al.
Nature Medicine (2022) Vol. 28, Iss. 6, pp. 1232-1239
Open Access | Times Cited: 144
Distributed Artificial Intelligence Empowered by End-Edge-Cloud Computing: A Survey
Sijing Duan, Dan Wang, Ju Ren, et al.
IEEE Communications Surveys & Tutorials (2022) Vol. 25, Iss. 1, pp. 591-624
Closed Access | Times Cited: 139
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2983-3013
Closed Access | Times Cited: 136
Deep generative molecular design reshapes drug discovery
Xiangxiang Zeng, Fei Wang, Yuan Luo, et al.
Cell Reports Medicine (2022) Vol. 3, Iss. 12, pp. 100794-100794
Open Access | Times Cited: 131
Threats, attacks and defenses to federated learning: issues, taxonomy and perspectives
Pengrui Liu, Xiangrui Xu, Wei Wang
Cybersecurity (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 123
The applications of machine learning techniques in medical data processing based on distributed computing and the Internet of Things
Sarina Aminizadeh, Arash Heidari, Shiva Toumaj, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 241, pp. 107745-107745
Closed Access | Times Cited: 118
Truly privacy-preserving federated analytics for precision medicine with multiparty homomorphic encryption
David Froelicher, Juan Ramón Troncoso-Pastoriza, Jean Louis Raisaro, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 111
NCBI GEO: archive for gene expression and epigenomics data sets: 23-year update
Emily Clough, Tanya Barrett, S. E. Wilhite, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D138-D144
Open Access | Times Cited: 105
Federated learning for predicting histological response to neoadjuvant chemotherapy in triple-negative breast cancer
Jean Ogier du Terrail, Armand Léopold, Clément Joly, et al.
Nature Medicine (2023) Vol. 29, Iss. 1, pp. 135-146
Closed Access | Times Cited: 102
Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation
Bernardo Camajori Tedeschini, Stefano Savazzi, Roman Stoklasa, et al.
IEEE Access (2022) Vol. 10, pp. 8693-8708
Open Access | Times Cited: 97
Application of Deep Learning in Breast Cancer Imaging
Luuk Balkenende, Jonas Teuwen, Ritse M. Mann
Seminars in Nuclear Medicine (2022) Vol. 52, Iss. 5, pp. 584-596
Open Access | Times Cited: 94
Artificial intelligence in diabetes management: Advancements, opportunities, and challenges
Zhouyu Guan, Huating Li, Ruhan Liu, et al.
Cell Reports Medicine (2023) Vol. 4, Iss. 10, pp. 101213-101213
Open Access | Times Cited: 81
Artificial intelligence, machine learning, and deep learning in liver transplantation
Mamatha Bhat, Madhumitha Rabindranath, Beatriz Sordi Chara, et al.
Journal of Hepatology (2023) Vol. 78, Iss. 6, pp. 1216-1233
Open Access | Times Cited: 79
Privacy and Security in Federated Learning: A Survey
Rémi Gosselin, Loïc Vieu, Faiza Loukil, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9901-9901
Open Access | Times Cited: 76
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