William Shen

706 citations
12 papers · 295 · h-index 7

Impact in

    • Advanced Image Processing Techniques
    • Advanced Vision and Imaging
    • Multimodal Machine Learning Applications
    • Advanced Image and Video Retrieval Techniques
    • Human Pose and Action Recognition
    • Advanced Neural Network Applications
    • Image Processing Techniques and Applications

Papers in

William Shen

10 papers receiving 278 citations

Peers

William Shen
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 171
  • Media Technology 52
  • Artificial Intelligence 78
  • Pharmaceutical Science 9
  • Anesthesiology and Pain Medicine 7
Replace Xiaosheng Wu with:
Xiaosheng Wu China
Changchun Liu China
Luke Melas-Kyriazi United Kingdom
Tarkan Aydın Türkiye
Margarita-Arimatea Díaz-Cortés Mexico
Liting Zhang China
Jagadish Nayak United Arab Emirates
C. S. Sastry India
William Shen relative to Xiaosheng Wu China Xiaosheng Wu's profile →
Citations per field
00.5×3.5×
Xiaosheng Wu · 1×
Citations per year

Countries citing papers authored by William Shen

Since Specialization
Citations

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

Fields of papers citing papers by William Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201787
2 200459
3
Feedback Networks
201748
4 201937
5 202024
6 201724
7 20086
8 20215
9 20223
10
Interactive Gibson: Benchmark for Interactive Navigation in Cluttered Environments
20191
11 20081
12 20260

About William Shen

William Shen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Biomedical Engineering and Control and Systems Engineering, having authored 12 papers that have together received 295 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Domain Adaptation and Few-Shot Learning (3 papers), AI-based Problem Solving and Planning (2 papers), Reinforcement Learning in Robotics (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), Advanced Neural Network Applications (2 papers), Advanced machining processes and optimization (1 paper) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (171 citations), Media Technology (52 citations), Artificial Intelligence (78 citations), Pharmaceutical Science (9 citations) and Anesthesiology and Pain Medicine (7 citations). William Shen has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include Silvio Savarese, Te-Lin Wu, Bertram E. Shi, Jitendra Malik, Amir Zamir, Lin Sun, Sylvie Thiébaux, Felipe Trevizan, Lin Sun and A Zaffaroni. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Optics Letters, IEEE Robotics and Automation Letters, ECS Transactions and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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