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 learning and next generation wireless communications: A survey on bidirectional relationship
Debaditya Shome, Omer Waqar, Wali Ullah Khan
Transactions on Emerging Telecommunications Technologies (2022) Vol. 33, Iss. 7
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Edge Intelligence in Intelligent Transportation Systems: A Survey
Taiyuan Gong, Li Zhu, F. Richard Yu, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 9, pp. 8919-8944
Closed Access | Times Cited: 56

Federated Learning for Edge Computing: A Survey
Alexander Brecko, Erik Kajáti, Jiří Koziorek, et al.
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 9124-9124
Open Access | Times Cited: 63

A Novel Hybrid Deep Learning Model for Metastatic Cancer Detection
Shahab Ahmad, Tahir Ullah, Ijaz Ahmad, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 59

Securing Industrial Internet of Things Against Botnet Attacks Using Hybrid Deep Learning Approach
Tooba Hasan, Jahanzaib Malik, Iram Bibi, et al.
IEEE Transactions on Network Science and Engineering (2022) Vol. 10, Iss. 5, pp. 2952-2963
Open Access | Times Cited: 48

A Survey on Semantic Communications for Intelligent Wireless Networks
Sridhar Iyer, Rajashri Khanai, Dattaprasad A. Torse, et al.
Wireless Personal Communications (2022) Vol. 129, Iss. 1, pp. 569-611
Open Access | Times Cited: 35

Energy-Efficient Federated Learning Over Cell-Free IoT Networks: Modeling and Optimization
Taotao Zhao, Xiaomin Chen, Qiang Sun, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 19, pp. 17436-17449
Closed Access | Times Cited: 14

Network for Distributed Intelligence: a Survey and Future Perspectives
Claudia Campolo, Antonio Iera, Antonella Molinaro
IEEE Access (2023), pp. 1-1
Open Access | Times Cited: 11

A Systematic Literature Review on the Use of Federated Learning and Bioinspired Computing
Rafael Marin Machado de Souza, A. I. S. Holm, Márcio Biczyk, et al.
Electronics (2024) Vol. 13, Iss. 16, pp. 3157-3157
Open Access | Times Cited: 3

Wireless 5G Network in Edge Computing Based On MIMO with Federated Learning and Clustering Integrated Reinforcement Learning
P. Manikandan, Sivaram Rajeyyagari, Ramesh Sekaran, et al.
EAI Endorsed Transactions on Internet of Things (2025) Vol. 11
Open Access

A Review of Secure Gradient Compression Techniques for Federated Learning in the Internet of Medical Things
Tynan Blaine Kelly, Ahmad Alhonainy, Praveen Rao
Studies in computational intelligence (2025), pp. 63-85
Closed Access

Minimizing energy consumption for NOMA multi-drone communications in automotive-industry 5.0
Ali Nauman, Marwa Obayya, Mashael M. Asiri, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 6, pp. 101547-101547
Open Access | Times Cited: 8

Space–Air–Ground–Sea Integrated Network with Federated Learning
Hao Zhao, Fei Ji, Yan Wang, et al.
Remote Sensing (2024) Vol. 16, Iss. 9, pp. 1640-1640
Open Access | Times Cited: 3

A Multi-Shuffler Framework to Establish Mutual Confidence for Secure Federated Learning
Zan Zhou, Changqiao Xu, Mingze Wang, et al.
IEEE Transactions on Dependable and Secure Computing (2022) Vol. 20, Iss. 5, pp. 4230-4244
Closed Access | Times Cited: 12

Tactile internet of federated things: Toward fine-grained design of FL-based architecture to meet TIoT demands
Omar Alnajar, Ahmed Barnawi
Computer Networks (2023) Vol. 231, pp. 109712-109712
Closed Access | Times Cited: 7

Communication and computational resource optimization for Industry 5.0 smart devices empowered by MEC
Ali Nauman, Wali Ullah Khan, Ghadah Aldehim, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 36, Iss. 1, pp. 101870-101870
Open Access | Times Cited: 6

Communication-Efficient Resource Allocation for Wireless Federated Learning Systems
Chung-Hsuan Hu
Linköping studies in science and technology. Thesis (2023)
Open Access | Times Cited: 5

Dynamic resource management in integrated NOMA terrestrial–satellite networks using multi-agent reinforcement learning
Ali Nauman, Haya Mesfer Alshahrani, Nadhem Nemri, et al.
Journal of Network and Computer Applications (2023) Vol. 221, pp. 103770-103770
Open Access | Times Cited: 5

Securing Industrial Internet of Things Against Botnet Attacks Using Hybrid Deep Learning Approach
Tooba Hasan, Wali Ullah Khan, Fahd N. Al‐Wesabi, et al.
(2022)
Open Access | Times Cited: 8

Dynamic offloading strategy for computational energy efficiency of wireless power transfer based MEC networks in industry 5.0
Saad Aljubayrin, Ghadah Aldehim, Nuha Alruwais, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 10, pp. 101841-101841
Open Access | Times Cited: 4

Intersection of machine learning and mobile crowdsourcing: a systematic topic-driven review
Weisi Chen, Walayat Hussain, Islam Al-Qudah, et al.
Personal and Ubiquitous Computing (2024)
Closed Access | Times Cited: 1

Automatic Modulation Recognition Based on the Optimized Linear Combination of Higher-Order Cumulants
Asad Hussain, Sheraz Alam, Sajjad A. Ghauri, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7488-7488
Open Access | Times Cited: 7

A Survey of Federated Learning for mmWave Massive MIMO
Vendi Ardianto Nugroho, Byung Moo Lee
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 16, pp. 27167-27183
Closed Access | Times Cited: 1

Federated learning for efficient spectrum allocation in open RAN
Muhammad Asad, Safa Otoum
Cluster Computing (2024) Vol. 27, Iss. 8, pp. 11237-11247
Closed Access | Times Cited: 1

Recurrent neural network and federated learning based channel estimation approach in mmWave massive MIMO systems
Sajjad Shahabodini, Mobina Mansoori, Jamshid Abouei, et al.
Transactions on Emerging Telecommunications Technologies (2023)
Closed Access | Times Cited: 2

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