Mingxuan Sun

52 papers receiving 634 citations

Peers

Mingxuan Sun
Comparison fields: 5 of 88
  • Computer Vision and Pattern Recognition 219
  • Artificial Intelligence 205
  • Information Systems 144
  • Computer Networks and Communications 132
  • Electrical and Electronic Engineering 117
Replace Lili Zhao with:
Lili Zhao China
Yiteng Pan China
Lucas Bordeaux United Kingdom
Jinyuan Jia China
Shuyu Chen China
Chenglong Wang China
Haiping Yu China
Jeffrey S. Norris United States
Kang Zhang China
Mingxuan Sun relative to Lili Zhao China Lili Zhao's profile →
Citations per field
00.5×2.8×
Lili Zhao · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 30
3 3
4 10
5 4
6 2
7 8
8 27
9 62
10 77
11 23
12
Machine Learning and Cognitive Technology for Intelligent Wireless Networks.
6
13
Dilated Residual Network for Image Denoising.
6
14 1
15
Personalization of Learning Paths in Online Communities of Creators.
1
16
PREA: personalized recommendation algorithms toolkit
35
17 3
18 12
19 39
20 29

About Mingxuan Sun

Mingxuan Sun is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 53 papers that have together received 659 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (7 papers), Advanced MIMO Systems Optimization (7 papers) and Recommender Systems and Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (219 citations), Computer Graphics and Computer-Aided Design (31 citations) and Computational Mathematics (4 citations). Mingxuan Sun has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Xiangwei Zhou, Guy Lebanon, Jin Shang, Lingyun Song, Joonseok Lee, Biing‐Hwang Juang, Ruigang Yang, Geoffrey Ye Li, Jun Liu and Michael S. Brown. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Communications.

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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