Mingui Sun

459 citations
31 papers · 333 · h-index 10

Impact in

Papers in

Mingui Sun

28 papers receiving 316 citations

Peers

Mingui Sun
Comparison fields: 5 of 65
  • Signal Processing 95
  • Cognitive Neuroscience 136
  • Computational Mathematics 2
  • Pediatrics, Perinatology and Child Health 58
  • Cellular and Molecular Neuroscience 40
Replace S. Faul with:
S. Faul Ireland
Stephen Faul Ireland
Pedro Luiz Coelho Rodrigues Portugal
Duanpo Wu China
Rodica Strungaru Romania
Xiaolin Hong China
Chenglu Sun China
ML Akin Türkiye
Dongmei Cai China
Samir Ouelha Qatar
Mingui Sun relative to S. Faul Ireland S. Faul's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mingui Sun

Since Specialization
Citations

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

Fields of papers citing papers by Mingui Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingui 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 Mingui Sun Line = papers co-authored together Mingui Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199469
2 201137
3 200330
4 200029
5 200028
6 199624
7 201020
8 200913
9 200311
10 20029
11 20028
12 20037
13 20026
14 20044
15 20024
16 20044
17 20054
18 20034
19 20024
20 20053

About Mingui Sun

Mingui Sun is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Biomedical Engineering and Electrical and Electronic Engineering, having authored 31 papers that have together received 333 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (11 papers), EEG and Brain-Computer Interfaces (9 papers), Advanced Data Compression Techniques (7 papers), Neural dynamics and brain function (6 papers), Neural Networks and Applications (4 papers), Wireless Body Area Networks (4 papers), Energy Harvesting in Wireless Networks (4 papers) and Image and Signal Denoising Methods (4 papers). The work is most often cited by research in Signal Processing (95 citations), Cognitive Neuroscience (136 citations), Computational Mathematics (2 citations), Pediatrics, Perinatology and Child Health (58 citations) and Cellular and Molecular Neuroscience (40 citations). Mingui Sun has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Robert J. Sclabassi, Doris A. Steppe, Robert D. Guthrie, Mark S. Scher, Chengliu Li, Wenyan Jia, A. Enis Çetin, Tayfun Akgül, Qiang Liu and M.H. Mickle. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Pediatric Neurology, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Proceedings of the IEEE and IET 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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