Hu Su

1.1k citations
73 papers · 670 · h-index 15

Impact in

Papers in

Hu Su

61 papers receiving 653 citations

Peers

Hu Su
Comparison fields: 5 of 104
  • Industrial and Manufacturing Engineering 201
  • Computer Vision and Pattern Recognition 248
  • Media Technology 52
  • Control and Systems Engineering 96
  • Artificial Intelligence 99
Replace Jianzhong Yang with:
Jianzhong Yang China
Michael Heizmann Germany
Jianxu Mao China
Yi Sun China
Yan Jiang China
Juan José Aguilar Martín Spain
Yuji Iwahori Japan
Jiangxin Yang China
Hu Su relative to Jianzhong Yang China Jianzhong Yang's profile →
Citations per field
00.5×2.9×
Jianzhong Yang · 1×
Citations per year

Countries citing papers authored by Hu Su

Since Specialization
Citations

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

Fields of papers citing papers by Hu Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201888
2 202066
3 201846
4 201242
5 201132
6 202128
7 201328
8 201727
9 202027
10 202425
11 202225
12 201222
13 202118
14 202316
15 202414
16 201911
17 202310
18 202010
19 201410
20 20159

About Hu Su

Hu Su is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Biomedical Engineering, Industrial and Manufacturing Engineering and Media Technology, having authored 73 papers that have together received 670 indexed citations. Recurring topics across this work include Image Processing Techniques and Applications (9 papers), Industrial Vision Systems and Defect Detection (9 papers), Aerodynamics and Acoustics in Jet Flows (7 papers), Image and Object Detection Techniques (7 papers), Optical measurement and interference techniques (7 papers), Acoustic Wave Phenomena Research (7 papers), Simulation and Modeling Applications (7 papers) and Advanced Neural Network Applications (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (201 citations), Computer Vision and Pattern Recognition (248 citations), Media Technology (52 citations), Control and Systems Engineering (96 citations) and Artificial Intelligence (99 citations). Hu Su has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include De Xu, Wei Zou, Jiabin Zhang, Xinyi Gong, Zhengtao Zhang, Min Tan, Xiaola Lin, Fei Shen, Fei Shen and Song Liu. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Pattern Recognition, International Journal of Precision Engineering and Manufacturing, Journal of Applied Physics and IEEE Transactions on Automation Science and Engineering.

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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