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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:

Battery-constrained federated edge learning in UAV-enabled IoT for B5G/6G networks
Shunpu Tang, Wenqi Zhou, Lunyuan Chen, et al.
Physical Communication (2021) Vol. 47, pp. 101381-101381
Open Access | Times Cited: 43

Showing 1-25 of 43 citing articles:

Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges
Zhaohua Zheng, Yize Zhou, Yilong Sun, et al.
Connection Science (2021) Vol. 34, Iss. 1, pp. 1-28
Open Access | Times Cited: 141
Edge Intelligence: Empowering Intelligence to the Edge of Network
Dianlei Xu, Tong Li, Yong Li, et al.
Proceedings of the IEEE (2021) Vol. 109, Iss. 11, pp. 1778-1837
Open Access | Times Cited: 134
Efficient and flexible management for industrial Internet of Things: A federated learning approach
Yinghao Guo, Zichao Zhao, Ke He, et al.
Computer Networks (2021) Vol. 192, pp. 108122-108122
Closed Access | Times Cited: 106
Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT
Shunpu Tang, Lunyuan Chen, Ke He, et al.
IEEE Transactions on Network Science and Engineering (2022) Vol. 10, Iss. 5, pp. 2881-2893
Open Access | Times Cited: 88
Federated learning in smart cities: Privacy and security survey
Rasha Al-Huthaifi, Tianrui Li, Wei Huang, et al.
Information Sciences (2023) Vol. 632, pp. 833-857
Closed Access | Times Cited: 69
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
Mohammad Al-Quraan, Lina Mohjazi, Lina Bariah, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 3, pp. 957-979
Open Access | Times Cited: 48
6G Internet of Things: A Comprehensive Survey
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 1, pp. 359-383
Open Access | Times Cited: 83
Intelligent secure mobile edge computing for beyond 5G wireless networks
Shiwei Lai, Rui Zhao, Shunpu Tang, et al.
Physical Communication (2021) Vol. 45, pp. 101283-101283
Closed Access | Times Cited: 64
Intelligent ubiquitous computing for future UAV-enabled MEC network systems
Lunyuan Chen, Rui Zhao, Ke He, et al.
Cluster Computing (2021) Vol. 25, Iss. 4, pp. 2417-2427
Closed Access | Times Cited: 54
Diagnosis of Diabetic Retinopathy through Retinal Fundus Images and 3D Convolutional Neural Networks with Limited Number of Samples
Ahsan Bin Tufail, Inam Ullah, Wali Ullah Khan, et al.
Wireless Communications and Mobile Computing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 50
An adaptive deep learning-based UAV receiver design for coded MIMO with correlated noise
Zizhi Wang, Wenqi Zhou, Lunyuan Chen, et al.
Physical Communication (2021) Vol. 47, pp. 101365-101365
Closed Access | Times Cited: 36
Integration of multi access edge computing with unmanned aerial vehicles: Current techniques, open issues and research directions
Nida Fatima, Paresh Saxena, Manik Gupta
Physical Communication (2022) Vol. 52, pp. 101641-101641
Closed Access | Times Cited: 26
Adaptive cooperative routing transmission for energy heterogeneous wireless sensor networks
Jiale Liang, Zhenyue Xu, Yanan Xu, et al.
Physical Communication (2021) Vol. 49, pp. 101460-101460
Closed Access | Times Cited: 29
Asynchronous and Synchronous Federated Learning-based UAVs
Itika Sharma, Ayushe Sharma, Sachin Kumar Gupta
(2023), pp. 105-109
Closed Access | Times Cited: 9
SFL-MDrone: Synchronous federated learning enabled multi drones
Itika Sharma, Sachin Kumar Gupta
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 4, pp. 8543-8562
Closed Access | Times Cited: 3
Fast and Fair Computation Offloading Management in a Swarm of Drones Using a Rating-Based Federated Learning Approach
Dadmehr Rahbari, Muhammad Mahtab Alam, Yannick Le Moullec, et al.
IEEE Access (2021) Vol. 9, pp. 113832-113849
Open Access | Times Cited: 19
URLLC resource slicing and scheduling for trustworthy 6G vehicular services: A federated reinforcement learning approach
Hao Min, Dongdong Ye, Siming Wang, et al.
Physical Communication (2021) Vol. 49, pp. 101470-101470
Closed Access | Times Cited: 18
Offloading strategy with PSO for mobile edge computing based on cache mechanism
Wenqi Zhou, Lunyuan Chen, Shunpu Tang, et al.
Cluster Computing (2021) Vol. 25, Iss. 4, pp. 2389-2401
Closed Access | Times Cited: 16
Spectral and energy efficiency for uplink massive MIMO systems with mixed-ADC architecture
Weiqiang Tan, Shidang Li, Meng Zhou
Physical Communication (2021) Vol. 50, pp. 101516-101516
Closed Access | Times Cited: 15
Link and Loss Aware GW-COOP Routing Protocol for FANETs
Shahzad Hameed, Saleh Alyahya, Qurratul-Ain Minhas, et al.
IEEE Access (2021) Vol. 9, pp. 110544-110557
Open Access | Times Cited: 14
Vertical federated DNN training
Mingjun Dai, Annan Xu, Qingwen Huang, et al.
Physical Communication (2021) Vol. 49, pp. 101465-101465
Closed Access | Times Cited: 10
Content popularity prediction for cache-enabled wireless B5G networks
Shiwei Lai, Rui Zhao, Yulin Wang, et al.
EURASIP Journal on Advances in Signal Processing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 7
FAIFO: UAV-assisted IoT programmable packet scheduling considering freshness
Mengyuan Zhu, Kefan Chen, Zhuo Chen, et al.
Ad Hoc Networks (2022) Vol. 134, pp. 102912-102912
Closed Access | Times Cited: 5
Performance analysis of 5G Downlink Cooperative NOMA network with multi-antenna relay
Xinjie Wang, Enyu Li, Guang Yang, et al.
Physical Communication (2021) Vol. 52, pp. 101586-101586
Closed Access | Times Cited: 6
A stochastic confocal ellipsoid channel model for high speed railway MIMO communication systems
Liu Feng
Physical Communication (2022) Vol. 52, pp. 101616-101616
Closed Access | Times Cited: 4
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