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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:

A Survey on Distributed Machine Learning
Joost Verbraeken, Matthijs Wolting, Jonathan Katzy, et al.
ACM Computing Surveys (2020) Vol. 53, Iss. 2, pp. 1-33
Open Access | Times Cited: 633

Showing 1-25 of 633 citing articles:

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
Latif U. Khan, Walid Saad, Zhu Han, et al.
IEEE Communications Surveys & Tutorials (2021) Vol. 23, Iss. 3, pp. 1759-1799
Open Access | Times Cited: 553
A Comprehensive Survey of Privacy-preserving Federated Learning
Xuefei Yin, Yanming Zhu, Jiankun Hu
ACM Computing Surveys (2021) Vol. 54, Iss. 6, pp. 1-36
Open Access | Times Cited: 347
6G Wireless Systems: A Vision, Architectural Elements, and Future Directions
Latif U. Khan, Ibrar Yaqoob, Muhammad Imran, et al.
IEEE Access (2020) Vol. 8, pp. 147029-147044
Open Access | Times Cited: 303
Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing
Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng, et al.
IEEE Journal of Selected Topics in Signal Processing (2023) Vol. 17, Iss. 1, pp. 9-39
Open Access | Times Cited: 298
Holistic Network Virtualization and Pervasive Network Intelligence for 6G
Xuemin Shen, Jie Gao, Wen Wu, et al.
IEEE Communications Surveys & Tutorials (2021) Vol. 24, Iss. 1, pp. 1-30
Open Access | Times Cited: 233
Illuminating the dark spaces of healthcare with ambient intelligence
Albert Haque, Arnold Milstein, Li Fei-Fei
Nature (2020) Vol. 585, Iss. 7824, pp. 193-202
Closed Access | Times Cited: 207
Federated Learning in Vehicular Networks: Opportunities and Solutions
Jason Posner, Lewis Tseng, Moayad Aloqaily, et al.
IEEE Network (2021) Vol. 35, Iss. 2, pp. 152-159
Closed Access | Times Cited: 190
From distributed machine learning to federated learning: a survey
Ji Liu, Jizhou Huang, Yang Zhou, et al.
Knowledge and Information Systems (2022) Vol. 64, Iss. 4, pp. 885-917
Closed Access | Times Cited: 184
A review of Earth Artificial Intelligence
Ziheng Sun, L. Sandoval, Robert Crystal‐Ornelas, et al.
Computers & Geosciences (2022) Vol. 159, pp. 105034-105034
Open Access | Times Cited: 168
AI in Finance: Challenges, Techniques, and Opportunities
Longbing Cao
ACM Computing Surveys (2022) Vol. 55, Iss. 3, pp. 1-38
Closed Access | Times Cited: 157
Evolutionary Machine Learning: A Survey
Akbar Telikani, Amirhessam Tahmassebi, Wolfgang Banzhaf, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 8, pp. 1-35
Open Access | Times Cited: 140
Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges
Mansoor Ali, Hadis Karimipour, Muhammad Adnan Tariq
Computers & Security (2021) Vol. 108, pp. 102355-102355
Closed Access | Times Cited: 133
Asynchronous federated learning on heterogeneous devices: A survey
Chenhao Xu, Youyang Qu, Yong Xiang, et al.
Computer Science Review (2023) Vol. 50, pp. 100595-100595
Open Access | Times Cited: 131
Blockchain-Empowered Digital Twins Collaboration: Smart Transportation Use Case
Radhya Sahal, Saeed Hamood Alsamhi, Kenneth N. Brown, et al.
Machines (2021) Vol. 9, Iss. 9, pp. 193-193
Open Access | Times Cited: 119
Integration of Blockchain Technology and Federated Learning in Vehicular (IoT) Networks: A Comprehensive Survey
Abdul Rehman Javed, Muhammad Abul Hassan, Faisal Shahzad, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4394-4394
Open Access | Times Cited: 118
A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
Mayra Macas, Chunming Wu, Walter Fuertes
Computer Networks (2022) Vol. 212, pp. 109032-109032
Closed Access | Times Cited: 92
Client Selection in Federated Learning: Principles, Challenges, and Opportunities
Lei Fu, Huanle Zhang, Ge Gao, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21811-21819
Open Access | Times Cited: 88
Pervasive AI for IoT Applications: A Survey on Resource-Efficient Distributed Artificial Intelligence
Emna Baccour, Naram Mhaisen, Alaa Awad Abdellatif, et al.
IEEE Communications Surveys & Tutorials (2022) Vol. 24, Iss. 4, pp. 2366-2418
Open Access | Times Cited: 82
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 82
Self-powered sensing systems with learning capability
Avinash Alagumalai, Wan Shou, Omid Mahian, et al.
Joule (2022) Vol. 6, Iss. 7, pp. 1475-1500
Open Access | Times Cited: 72
Explainable AI Over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions
Senthil Kumar Jagatheesaperumal, Quoc‐Viet Pham, Rukhsana Ruby, et al.
IEEE Open Journal of the Communications Society (2022) Vol. 3, pp. 2106-2136
Open Access | Times Cited: 70
Reviewing Federated Learning Aggregation Algorithms; Strategies, Contributions, Limitations and Future Perspectives
Mohammad Moshawrab, Mehdi Adda, Abdenour Bouzouane, et al.
Electronics (2023) Vol. 12, Iss. 10, pp. 2287-2287
Open Access | Times Cited: 42
A comprehensive review on blockchains for Internet of Vehicles: Challenges and directions
Brian Hildebrand, Mohamed Baza, Tara Salman, et al.
Computer Science Review (2023) Vol. 48, pp. 100547-100547
Open Access | Times Cited: 41
Machine learning and deep learning-based approach in smart healthcare: Recent advances, applications, challenges and opportunities
Anichur Rahman, Tanoy Debnath, Dipanjali Kundu, et al.
AIMS Public Health (2024) Vol. 11, Iss. 1, pp. 58-109
Open Access | Times Cited: 35
Revolutionizing Future Connectivity: A Contemporary Survey on AI-Empowered Satellite-Based Non-Terrestrial Networks in 6G
Shadab Mahboob, Lingjia Liu
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 2, pp. 1279-1321
Open Access | Times Cited: 23
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