Feng Su

1.3k citations
118 papers · 867 · h-index 14

Impact in

Papers in

Feng Su

108 papers receiving 821 citations

Peers

Feng Su
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 421
  • Signal Processing 133
  • Media Technology 102
  • Acoustics and Ultrasonics 9
  • Geology 57
Replace Rin-ichiro Taniguchi with:
Rin-ichiro Taniguchi Japan
Yuan He China
Shuo Zhang China
Zhao Pei China
Shuyuan Zhu China
Yan Cui China
Teófilo de Campos United Kingdom
Adrian F. Clark United Kingdom
Chunxiao Fan China
Bo Peng China
Feng Su relative to Rin-ichiro Taniguchi Japan Rin-ichiro Taniguchi's profile →
Citations per field
00.5×1.5×2.3×
Rin-ichiro Taniguchi · 1×
Citations per year

Countries citing papers authored by Feng Su

Since Specialization
Citations

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

Fields of papers citing papers by Feng Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022105
2 200273
3 201058
4 200454
5 201132
6 200227
7 201827
8 200523
9 201321
10 201418
11 201516
12 201815
13 201114
14 201214
15 201112
16 202011
17 201511
18 202111
19 201510
20 201010

About Feng Su

Feng Su is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Signal Processing, Media Technology and Artificial Intelligence, having authored 118 papers that have together received 867 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (20 papers), Advanced SAR Imaging Techniques (20 papers), Radar Systems and Signal Processing (20 papers), Advanced Image and Video Retrieval Techniques (17 papers), Music and Audio Processing (14 papers), Image Processing and 3D Reconstruction (13 papers), Vehicle License Plate Recognition (12 papers) and Microwave Imaging and Scattering Analysis (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (421 citations), Signal Processing (133 citations), Media Technology (102 citations), Acoustics and Ultrasonics (9 citations) and Geology (57 citations). Feng Su has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Shijie Cai, Chiew‐Lan Tai, Tong Lü, You He, Jiqiang Song, Tao Jian, Changwen Qu, Yan Cui, Muhammad Bilal and Neeraj Kumar. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Science China Information Sciences, IET Radar Sonar & Navigation, Lecture notes in computer science and Multimedia Systems.

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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