Jun Shi

1.6k citations
53 papers · 1.2k · h-index 23

Impact in

    • Mathematical Analysis and Transform Methods
    • Digital Filter Design and Implementation
    • Blind Source Separation Techniques
    • Speech and Audio Processing

Papers in

Jun Shi

50 papers receiving 1.2k citations

Peers

Jun Shi
Comparison fields: 5 of 100
  • Applied Mathematics 617
  • Signal Processing 505
  • Computer Vision and Pattern Recognition 722
  • Control and Systems Engineering 213
  • Media Technology 51
Replace Naitong Zhang with:
Naitong Zhang China
Xiaogang Xu China
Kulbir Singh India
Lütfiye Durak-Ata Türkiye
Dongpo Xu China
Shuiqing Xu China
Lin Qi China
Yili Xia China
Jun Shi relative to Naitong Zhang China Naitong Zhang's profile →
Citations per field
00.5×3.1×
Naitong Zhang · 1×
Citations per year

Countries citing papers authored by Jun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011131
2 202071
3 201067
4 201267
5 200763
6 201250
7 201346
8 201646
9 201842
10 201142
11 202340
12 201640
13 202131
14 201831
15 202030
16 201730
17 201830
18 201527
19 201227
20 201826

About Jun Shi

Jun Shi is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics, Signal Processing, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (26 papers), Mathematical Analysis and Transform Methods (24 papers), Digital Filter Design and Implementation (21 papers), Radar Systems and Signal Processing (4 papers), Antenna Design and Optimization (4 papers), Advanced Control Systems Optimization (2 papers), Antenna Design and Analysis (2 papers) and Optical measurement and interference techniques (2 papers). The work is most often cited by research in Applied Mathematics (617 citations), Signal Processing (505 citations), Computer Vision and Pattern Recognition (722 citations), Control and Systems Engineering (213 citations) and Media Technology (51 citations). Jun Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Naitong Zhang, Xiaoping Liu, Xiaoping Liu, Xuejun Sha, Qinyu Zhang, Wei Xiang, Yonggang Chi, Yanan Zhao, Feng‐Gang Yan and Lorenz T. Biegler. Their work appears in journals such as IEEE Transactions on Signal Processing, Signal Processing, IEEE Communications Letters, Digital Signal Processing and IEEE Journal of Selected Topics in Signal Processing.

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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