Yi Shen

4.1k citations
99 papers · 2.5k indexed · 1 hit paper · h-index 25
Topics
Image Retrieval and Classification Techniques (15 papers)Advanced Image and Video Retrieval Techniques (15 papers)Force Microscopy Techniques and Applications (9 papers)

In The Last Decade

Yi Shen

94 papers receiving 2.4k citations

Hit Papers

VectorNet: Encoding HD Maps and Agent Dynamics From Vecto...20202026202220242020100200300400500

Peers

Yi Shen
Comparison fields: 5 of 173
  • Molecular Biology 514
  • Artificial Intelligence 504
  • Computer Vision and Pattern Recognition 493
  • Automotive Engineering 437
  • Biomedical Engineering 286
Replace Xiaoming Jin with:
Xiaoming Jin China
Xinyang Zhang China
Ziwei Li China
Bingchen Li China
Ralf Mikut Germany
Xudong Cao China
Yun Chen China
Fei Xia China
Yidong Li China
Shiming Zhang China
Yi Shen relative to Xiaoming Jin China Xiaoming Jin's profile →
Citations per field
00.5×7.3×
Xiaoming Jin · 1×
Citations per year

Countries citing papers authored by Yi Shen

Since Specialization
Citations

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

Fields of papers citing papers by Yi Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Shen. A scholar is included among the top collaborators of Yi Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yi Shen. Yi Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 15
3 1
4 3
5 1
6 7
7 37
8 96
9
TNT: Target-driveN Trajectory Prediction
5
10 27
11 4
12 15
13 2
14 42
15 14
16 20
17 48
18 17
19 18
20
GRAPH: A Tool for Visualizing Communication and Optimizing Layout in Data-Parallel Programs.
1

About Yi Shen

Yi Shen is a scholar working on Structural Biology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 99 papers that have together received 2.5k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (15 papers), Advanced Image and Video Retrieval Techniques (15 papers) and Force Microscopy Techniques and Applications (9 papers). The work is most often cited by research in Automotive Engineering (437 citations), Computer Vision and Pattern Recognition (493 citations) and Biomaterials (239 citations). Yi Shen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Cordelia Schmid, Hang Zhao, Dragomir Anguelov, Jiyang Gao, Chen Sun, Congcong Li, Jianping Fan, Ao Li, Yue Mao and Werner Stuetzle. Their work appears in journals such as Nature, Journal of the American Chemical Society and Advanced Materials.

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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