Lunyuan Chen

632 total citations
11 papers, 421 citations indexed

About

Lunyuan Chen is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Lunyuan Chen has authored 11 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Lunyuan Chen's work include Privacy-Preserving Technologies in Data (6 papers), Advanced Wireless Communication Technologies (4 papers) and IoT and Edge/Fog Computing (3 papers). Lunyuan Chen is often cited by papers focused on Privacy-Preserving Technologies in Data (6 papers), Advanced Wireless Communication Technologies (4 papers) and IoT and Edge/Fog Computing (3 papers). Lunyuan Chen collaborates with scholars based in China, United Kingdom and Luxembourg. Lunyuan Chen's co-authors include Junjuan Xia, Shunpu Tang, Lisheng Fan, Liseng Fan, Ke He, Arumugam Nallanathan, Wenqi Zhou, Fasheng Zhou, Zichao Zhao and Xianfu Lei and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Communications and Computer Communications.

In The Last Decade

Lunyuan Chen

11 papers receiving 410 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lunyuan Chen China 10 234 217 117 110 58 11 421
Shunpu Tang China 10 249 1.1× 210 1.0× 134 1.1× 90 0.8× 49 0.8× 17 442
Shiwei Lai China 14 303 1.3× 299 1.4× 146 1.2× 109 1.0× 46 0.8× 16 542
Xiaolan Liu United Kingdom 10 235 1.0× 197 0.9× 93 0.8× 142 1.3× 46 0.8× 28 446
Fasheng Zhou China 13 364 1.6× 329 1.5× 62 0.5× 162 1.5× 56 1.0× 32 553
Mengying Sun China 10 214 0.9× 255 1.2× 63 0.5× 142 1.3× 73 1.3× 45 436
Han Hu China 10 251 1.1× 347 1.6× 65 0.6× 131 1.2× 53 0.9× 41 506
Maryam Bavaghar Iran 6 227 1.0× 231 1.1× 70 0.6× 45 0.4× 35 0.6× 7 392
Wenqi Zhou China 6 145 0.6× 176 0.8× 76 0.6× 90 0.8× 50 0.9× 7 306
Aveek Dutta United States 13 209 0.9× 227 1.0× 66 0.6× 56 0.5× 42 0.7× 48 414

Countries citing papers authored by Lunyuan Chen

Since Specialization
Citations

This map shows the geographic impact of Lunyuan Chen'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 Lunyuan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lunyuan Chen more than expected).

Fields of papers citing papers by Lunyuan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lunyuan Chen. 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 Lunyuan Chen. The network helps show where Lunyuan Chen may publish in the future.

Co-authorship network of co-authors of Lunyuan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Lunyuan Chen. A scholar is included among the top collaborators of Lunyuan Chen 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 Lunyuan Chen. Lunyuan Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
2.
Tang, Shunpu, Ke He, Lunyuan Chen, et al.. (2023). Collaborative Cache-Aided Relaying Networks: Performance Evaluation and System Optimization. IEEE Journal on Selected Areas in Communications. 41(3). 706–719. 23 indexed citations
3.
Chen, Lunyuan, Lisheng Fan, Xianfu Lei, et al.. (2023). Relay-Assisted Federated Edge Learning: Performance Analysis and System Optimization. IEEE Transactions on Communications. 71(6). 3387–3401. 39 indexed citations
4.
Chen, Lunyuan, et al.. (2023). Scoring Aided Federated Learning on Long-Tailed Data for Wireless IoMT Based Healthcare System. IEEE Journal of Biomedical and Health Informatics. 28(6). 3341–3348. 17 indexed citations
5.
Chen, Lunyuan, Shunpu Tang, Venki Balasubramanian, et al.. (2022). Physical-layer security based mobile edge computing for emerging cyber physical systems. Computer Communications. 194. 180–188. 30 indexed citations
6.
Tang, Shunpu, Lunyuan Chen, Ke He, et al.. (2022). Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT. IEEE Transactions on Network Science and Engineering. 10(5). 2881–2893. 87 indexed citations
7.
Chen, Lunyuan, et al.. (2022). Analytical offloading design for mobile edge computing-based smart internet of vehicle. EURASIP Journal on Advances in Signal Processing. 2022(1). 32 indexed citations
8.
Zhou, Wenqi, et al.. (2021). An adaptive deep learning-based UAV receiver design for coded MIMO with correlated noise. Physical Communication. 47. 101365–101365. 34 indexed citations
9.
Tang, Shunpu, et al.. (2021). Battery-constrained federated edge learning in UAV-enabled IoT for B5G/6G networks. Physical Communication. 47. 101381–101381. 90 indexed citations
10.
Chen, Lunyuan, Rui Zhao, Ke He, Zichao Zhao, & Liseng Fan. (2021). Intelligent ubiquitous computing for future UAV-enabled MEC network systems. Cluster Computing. 25(4). 2417–2427. 49 indexed citations
11.
Zhou, Wenqi, Lunyuan Chen, Shunpu Tang, et al.. (2021). Offloading strategy with PSO for mobile edge computing based on cache mechanism. Cluster Computing. 25(4). 2389–2401. 18 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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