Mingxuan Sun

68 total papers · 1.1k total citations
53 papers, 649 citations indexed

About

Mingxuan Sun is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mingxuan Sun has authored 53 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 13 papers in Computer Networks and Communications. Recurrent topics in Mingxuan Sun's work include Cooperative Communication and Network Coding (7 papers), Advanced MIMO Systems Optimization (7 papers) and Recommender Systems and Techniques (6 papers). Mingxuan Sun is often cited by papers focused on Cooperative Communication and Network Coding (7 papers), Advanced MIMO Systems Optimization (7 papers) and Recommender Systems and Techniques (6 papers). Mingxuan Sun collaborates with scholars based in United States, China and Singapore. Mingxuan Sun's co-authors include Xiangwei Zhou, Guy Lebanon, Jin Shang, Joonseok Lee, Lingyun Song, Geoffrey Ye Li, Biing‐Hwang Juang, Ruigang Yang, Jun Liu and Zhiming Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Communications.

In The Last Decade

Mingxuan Sun

52 papers receiving 624 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mingxuan Sun 217 203 142 128 117 53 649
Ping Lü 172 0.8× 290 1.4× 172 1.2× 157 1.2× 75 0.6× 62 698
Qing Wu 167 0.8× 296 1.5× 225 1.6× 108 0.8× 75 0.6× 80 669
Muzafer Saračević 204 0.9× 148 0.7× 116 0.8× 73 0.6× 67 0.6× 68 613
Youngmin Kim 121 0.6× 220 1.1× 26 0.2× 94 0.7× 96 0.8× 40 563
Shuyu Chen 297 1.4× 128 0.6× 145 1.0× 181 1.4× 60 0.5× 86 707
Lili Zhao 278 1.3× 249 1.2× 161 1.1× 48 0.4× 45 0.4× 72 670
Subrota Kumar Mondal 113 0.5× 250 1.2× 185 1.3× 124 1.0× 52 0.4× 33 637
Doo-Soon Park 96 0.4× 183 0.9× 195 1.4× 238 1.9× 90 0.8× 69 648
Yingyuan Xiao 133 0.6× 188 0.9× 256 1.8× 139 1.1× 45 0.4× 101 558
Lazaros Polymenakos 190 0.9× 255 1.3× 63 0.4× 119 0.9× 44 0.4× 70 677

Countries citing papers authored by Mingxuan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Mingxuan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxuan Sun

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

All Works

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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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2026