Tao Shen

746 citations
47 papers · 435 · 1 hit paper · h-index 12

Impact in

Papers in

Tao Shen

36 papers receiving 421 citations

Tao Shen's Hit Papers

AVLTrack: Dynamic Sparse Learning for Aerial Vision-Language Tracking 2025 · 21 citations
210Years since publication5101520

Peers

Tao Shen
Comparison fields: 5 of 63
  • Computer Vision and Pattern Recognition 248
  • Media Technology 66
  • Aerospace Engineering 119
  • Control and Systems Engineering 63
  • Industrial and Manufacturing Engineering 26
Replace Weichao Qiu with:
Weichao Qiu United States
Hanjiang Luo China
Boris X. Vintimilla Ecuador
Visesh Chari India
Haiyu Zhao Singapore
Ignacio Garcia‐Dorado United States
Ruyu Liu China
Guili Xu China
Tao Shen relative to Weichao Qiu United States Weichao Qiu's profile →
Citations per field
00.5×3.3×
Weichao Qiu · 1×
Citations per year

Countries citing papers authored by Tao Shen

Since Specialization
Citations

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

Fields of papers citing papers by Tao Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202361
2 202259
3 202445
4 202233
5 202431
6 200130
7
AVLTrack: Dynamic Sparse Learning for Aerial Vision-Language Tracking
Hit paper breakdown →
202521
8 202415
9 202415
10 201513
11 202211
12 201411
13 202010
14 20209
15 20248
16 20257
17 20146
18 20245
19 20104
20 20214

About Tao Shen

Tao Shen is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Electrical and Electronic Engineering and Media Technology, having authored 47 papers that have together received 435 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (13 papers), Advanced Neural Network Applications (7 papers), UAV Applications and Optimization (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Image Processing Techniques and Applications (3 papers), Infrared Target Detection Methodologies (3 papers), Advanced Vision and Imaging (3 papers) and Fire Detection and Safety Systems (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (248 citations), Media Technology (66 citations), Aerospace Engineering (119 citations), Control and Systems Engineering (63 citations) and Industrial and Manufacturing Engineering (26 citations). Tao Shen has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Yuanliang Xue, Lining Tan, Nian Wang, Qingwang Wang, Yan Zhu, Jian Song, Zifeng Zhang, Jing Gao, Chenggang Yan and Kai Zeng. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Neurocomputing, Heritage Science, Remote Sensing and IEEE Transactions on Intelligent Transportation 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.

Explore authors with similar magnitude of impact