Jiadong Yu

758 total citations
25 papers, 505 citations indexed

About

Jiadong Yu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Jiadong Yu has authored 25 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 11 papers in Computer Networks and Communications and 8 papers in Aerospace Engineering. Recurrent topics in Jiadong Yu's work include UAV Applications and Optimization (8 papers), IoT and Edge/Fog Computing (7 papers) and Advanced Wireless Communication Technologies (6 papers). Jiadong Yu is often cited by papers focused on UAV Applications and Optimization (8 papers), IoT and Edge/Fog Computing (7 papers) and Advanced Wireless Communication Technologies (6 papers). Jiadong Yu collaborates with scholars based in United Kingdom, Hong Kong and China. Jiadong Yu's co-authors include Yue Gao, Xiaolan Liu, Jian Wang, Danny H. K. Tsang, Zhiyong Feng, Xuemin Shen, Yuan Wu, Chiya Zhang, Bo Sun and Wei Zhang and has published in prestigious journals such as Chemical Engineering Journal, IEEE Journal on Selected Areas in Communications and BMC Bioinformatics.

In The Last Decade

Jiadong Yu

23 papers receiving 492 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jiadong Yu United Kingdom 11 260 231 150 78 69 25 505
Han Hu China 10 347 1.3× 251 1.1× 131 0.9× 51 0.7× 65 0.9× 41 506
Gaofeng Nie China 11 401 1.5× 379 1.6× 106 0.7× 74 0.9× 85 1.2× 57 639
Shiwei Lai China 14 299 1.1× 303 1.3× 109 0.7× 78 1.0× 146 2.1× 16 542
Shunpu Tang China 10 210 0.8× 249 1.1× 90 0.6× 56 0.7× 134 1.9× 17 442
Xiaolan Liu United Kingdom 10 197 0.8× 235 1.0× 142 0.9× 50 0.6× 93 1.3× 28 446
Zirui Zhuang China 12 345 1.3× 160 0.7× 132 0.9× 66 0.8× 119 1.7× 53 530
Guosheng Huang China 13 340 1.3× 179 0.8× 141 0.9× 83 1.1× 139 2.0× 27 533
Shikhar Verma Japan 11 376 1.4× 272 1.2× 70 0.5× 80 1.0× 78 1.1× 20 574

Countries citing papers authored by Jiadong Yu

Since Specialization
Citations

This map shows the geographic impact of Jiadong Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jiadong Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiadong Yu more than expected).

Fields of papers citing papers by Jiadong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jiadong Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jiadong Yu. The network helps show where Jiadong Yu may publish in the future.

Co-authorship network of co-authors of Jiadong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jiadong Yu. A scholar is included among the top collaborators of Jiadong Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiadong Yu. Jiadong Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yu, Jiadong, et al.. (2025). Federated Prompt-Based Decision Transformer for Resource Allocation of Customized VR Streaming in Mobile Edge Computing. IEEE Transactions on Wireless Communications. 25. 743–757. 1 indexed citations
2.
Yu, Jiadong, et al.. (2025). Energy-Efficient and Intelligent ISAC in V2X Networks With Spiking Neural Networks-Driven DRL. IEEE Transactions on Wireless Communications. 25. 1182–1195. 1 indexed citations
3.
Yu, Jiadong, et al.. (2025). Scheduling and Fusion for Multimodal Federated Learning in Energy-Constrained Wireless Networks. IEEE Transactions on Mobile Computing. 25(3). 3168–3181.
4.
Hoang, Dinh Thai, et al.. (2024). Energy-Efficient Decentralized Federated Learning for UAV Swarm With Spiking Neural Networks and Leader Election Mechanism. IEEE Wireless Communications Letters. 13(10). 2742–2746. 5 indexed citations
5.
Yu, Jiadong, et al.. (2024). Attention-Based QoE-Aware Digital Twin Empowered Edge Computing for Immersive Virtual Reality. IEEE Transactions on Wireless Communications. 23(9). 11276–11290. 16 indexed citations
6.
Shen, Ruixia, Peihao Sun, Juan Luo, et al.. (2024). Robust prediction for characteristics of digestion products in an industrial-scale biogas project via typical non-time series and time-series machine learning algorithms. Chemical Engineering Journal. 498. 155582–155582. 8 indexed citations
7.
Yu, Jiadong, Ahmad Alhilal, Pan Hui, & Danny H. K. Tsang. (2024). Bi-Directional Digital Twin and Edge Computing in the Metaverse. IEEE Internet of Things Magazine. 7(3). 106–112. 19 indexed citations
8.
Hoang, Dinh Thai, et al.. (2024). Constructing the Metaverse With a New Perspective: UAV FoV-Assisted Low-Latency Imaging. IEEE Wireless Communications Letters. 14(1). 158–162. 3 indexed citations
9.
Liu, Xiaolan, Jiadong Yu, Yuanwei Liu, et al.. (2023). Distributed Intelligence in Wireless Networks. IEEE Open Journal of the Communications Society. 4. 1001–1039. 16 indexed citations
10.
Yu, Jiadong, et al.. (2023). Joint Channel Estimation and Reinforcement-Learning-Based Resource Allocation of Intelligent-Reflecting-Surface-Aided Multicell Mobile Edge Computing. IEEE Internet of Things Journal. 11(7). 11862–11875. 6 indexed citations
11.
Yu, Jiadong, et al.. (2023). Energy Efficient IRS Assisted NOMA Aided Mobile Edge Computing via Heterogeneous Multi-Agent Reinforcement Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5352–5357. 2 indexed citations
12.
Yu, Jiadong, et al.. (2023). Energy-Latency Aware Intelligent Reflecting Surface Aided Multi-Cell Mobile Edge Computing. IEEE Transactions on Green Communications and Networking. 8(1). 362–374. 5 indexed citations
13.
Yu, Jiadong, et al.. (2022). IRS Assisted NOMA Aided Mobile Edge Computing With Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning. IEEE Transactions on Wireless Communications. 22(7). 4296–4312. 51 indexed citations
14.
Yu, Jiadong, Xiaolan Liu, Yue Gao, & Xuemin Shen. (2021). 3D On and Off-Grid Dynamic Channel Tracking for Multiple UAVs and Satellite Communications. IEEE Transactions on Wireless Communications. 21(6). 3587–3604. 10 indexed citations
15.
Yu, Jiadong, Xiaolan Liu, & Yue Gao. (2021). On-Grid 3D Dynamic Channel Tracking for Space-Air Communications with Multiple UAVs. 36. 127–132. 1 indexed citations
16.
Yu, Jiadong, Xiaolan Liu, Yue Gao, & Xuemin Shen. (2020). 3D Channel Tracking for UAV-Satellite Communications in Space-Air-Ground Integrated Networks. IEEE Journal on Selected Areas in Communications. 38(12). 2810–2823. 56 indexed citations
17.
Liu, Xiaolan, Jiadong Yu, Haoran Qi, et al.. (2020). Learning to Predict the Mobility of Users in Mobile mmWave Networks. IEEE Wireless Communications. 27(1). 124–131. 20 indexed citations
18.
Liu, Xiaolan, Jiadong Yu, Jian Wang, & Yue Gao. (2020). Resource Allocation With Edge Computing in IoT Networks via Machine Learning. IEEE Internet of Things Journal. 7(4). 3415–3426. 116 indexed citations
19.
Qi, Haoran, Jiadong Yu, Andrea Cavallaro, & Yue Gao. (2019). Robust Compressive Sensing of Multiband Spectrum with Partial and Incorrect Priors. 43. 1–6.
20.
Chen, Xin, Ruimin Sun, & Jiadong Yu. (2011). Approximating the double-cut-and-join distance between unsigned genomes. BMC Bioinformatics. 12(S9). S17–S17. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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