Yu Shi

453 citations
59 papers · 318 · h-index 9

Impact in

Papers in

    • Human Pose and Action Recognition 10
    • Face recognition and analysis 6
    • Video Surveillance and Tracking Methods 5
    • Handwritten Text Recognition Techniques 5
    • Direction-of-Arrival Estimation Techniques 7
    • Speech and Audio Processing 5
    • Biometric Identification and Security 5

Yu Shi

55 papers receiving 310 citations

Peers

Yu Shi
Comparison fields: 5 of 73
  • Computer Vision and Pattern Recognition 140
  • Media Technology 36
  • Signal Processing 40
  • Experimental and Cognitive Psychology 33
  • Human-Computer Interaction 14
Replace Bailan Feng with:
Bailan Feng China
Zhengping Hu China
Seok Bong Yoo South Korea
Musiur Raza Abidi India
Jogendra Nath Kundu India
Yawen Cui China
Shengchuan Zhang China
Hailan Kuang China
Yu Shi relative to Bailan Feng China Bailan Feng's profile →
Citations per field
00.5×1.5×
Bailan Feng · 1×
Citations per year

Countries citing papers authored by Yu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201946
2 201937
3 202128
4 202117
5 201914
6 201612
7 202210
8 20239
9
Aerodynamic noise calculation and shape optimization of high-speed train pantograph insulators
20129
10 20198
11 20217
12 20147
13 20236
14 20216
15 20236
16 20076
17 20215
18 20205
19 20225
20 20235

About Yu Shi

Yu Shi is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Aerospace Engineering, Artificial Intelligence and Computational Mechanics, having authored 59 papers that have together received 318 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (10 papers), Direction-of-Arrival Estimation Techniques (7 papers), Face recognition and analysis (6 papers), Speech and Audio Processing (5 papers), Video Surveillance and Tracking Methods (5 papers), Aerodynamics and Fluid Dynamics Research (5 papers), Biometric Identification and Security (5 papers) and Handwritten Text Recognition Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (140 citations), Media Technology (36 citations), Signal Processing (40 citations), Experimental and Cognitive Psychology (33 citations) and Human-Computer Interaction (14 citations). Yu Shi has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Xiangdong Zhou, Jianping Ding, Tianlong Zhang, Min Peng, Chongyang Wang, Zhenghao Li, Tao Bi, Tong Chen, Xiaohu Shao and Jie Ye. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Intelligent Transportation Systems, Applied Mathematics and Computation, Nature Communications and European Journal of Medicinal Chemistry.

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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