Jun Sun

100 papers receiving 1.5k citations

Peers

Jun Sun
Comparison fields: 5 of 113
  • Instrumentation 67
  • Media Technology 165
  • Computer Networks and Communications 348
  • Control and Systems Engineering 303
  • Computer Vision and Pattern Recognition 223
Replace Feng Yin with:
Feng Yin China
Haitao Zheng Singapore
Zhen Liu China
Andy Song Australia
Fernando J. Álvarez Spain
Jingkun Gao China
Georgios Ellinas Cyprus
Pavlos I. Lazaridis United Kingdom
Xiaomin Wang China
Jianghui Cai China
Jun Sun relative to Feng Yin China Feng Yin's profile →
Citations per field
00.5×6.1×
Feng Yin · 1×
Citations per year

Countries citing papers authored by Jun Sun

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Sun Line = papers co-authored together Jun Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017206
2 2006114
3 201996
4 202086
5
Particle Swarm Optimisation: Classical and Quantum Perspectives
201163
6 201851
7 201948
8 201944
9 201938
10 201736
11 201435
12 200834
13 201931
14 202030
15 202129
16 201725
17 201825
18 201425
19 201824
20 202222

About Jun Sun

Jun Sun is a scholar working on Aerospace Engineering, Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 109 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (12 papers), Space Satellite Systems and Control (11 papers), Cooperative Communication and Network Coding (11 papers), Mobile Ad Hoc Networks (9 papers), Advanced Wireless Network Optimization (8 papers), Adaptive Control of Nonlinear Systems (8 papers), Advanced Algorithms and Applications (7 papers) and Advanced SAR Imaging Techniques (7 papers). The work is most often cited by research in Instrumentation (67 citations), Media Technology (165 citations), Computer Networks and Communications (348 citations), Control and Systems Engineering (303 citations) and Computer Vision and Pattern Recognition (223 citations). Jun Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Eytan Modiano, Lizhong Zheng, Hao Zhang, Huaicheng Yan, Pei Zhou, Qingshui Guo, Guo-Qiang Zhang, Shilong Pan, Fangzheng Zhang and Ziqian Wang. Their work appears in journals such as IEEE Access, Acta Astronautica, International Journal of Satellite Communications and Networking, Automation in Construction and Engineering Construction & Architectural Management.

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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