Kai Su

823 citations
44 papers · 469 · h-index 13

Impact in

Papers in

Kai Su

39 papers receiving 437 citations

Peers

Kai Su
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 165
  • Control and Systems Engineering 117
  • Safety, Risk, Reliability and Quality 46
  • Communication 20
  • Signal Processing 30
Replace Penghui Zhao with:
Penghui Zhao China
Yung-Yao Chen Taiwan
Liqiang Zhu China
Chengtao Cai China
Simon Vandenhende Switzerland
Lifang Chen China
Renjie Song China
Wenjie Song China
Wouter Van Gansbeke Belgium
Kai Su relative to Penghui Zhao China Penghui Zhao's profile →
Citations per field
00.5×10×15×20×
Penghui Zhao · 1×
Citations per year

Countries citing papers authored by Kai Su

Since Specialization
Citations

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

Fields of papers citing papers by Kai Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200363
2 201938
3 200333
4 202132
5 200431
6 200531
7 200325
8 200323
9 202120
10 201818
11 201916
12 202116
13 200315
14 201211
15 201910
16 20209
17 20028
18 20218
19 20027
20 20056

About Kai Su

Kai Su is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering and Computer Networks and Communications, having authored 44 papers that have together received 469 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (8 papers), Distributed Sensor Networks and Detection Algorithms (4 papers), Robotic Path Planning Algorithms (4 papers), Robotics and Automated Systems (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Fault Detection and Control Systems (3 papers), Autonomous Vehicle Technology and Safety (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (165 citations), Control and Systems Engineering (117 citations), Safety, Risk, Reliability and Quality (46 citations), Communication (20 citations) and Signal Processing (30 citations). Kai Su has collaborated with scholars based in China, Taiwan and Japan. Frequent co-authors include R.C. Luo, R.C. Luo, Xin Geng, Ren Luo, Shi Shen, Changxiu Cheng, Qiangfu Zhao, Xiangxue Zhang, Ting Zhang and Dongdong Yu. Their work appears in journals such as International Journal of Machine Learning and Cybernetics, Neurocomputing, Image and Vision Computing, IEEE Access and Journal of Geophysical Research Atmospheres.

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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