Huiying Shen
- Computer Vision and Pattern Recognition top 5%
- Cognitive Neuroscience top 10%
- Human-Computer Interaction top 5%
- Building and Construction top 10%
- Automotive Engineering
- Co-authors
- James M. CoughlanV. IvanchenkoRoberto ManduchiShiEnder TekinOwen EdwardsJoshua A. MieleJohn A. Brabyn
- Topics
- Tactile and Sensory Interactions (13 papers)Video Surveillance and Tracking Methods (11 papers)Advanced Image and Video Retrieval Techniques (6 papers)
- Journals
- Applied Mathematics and ComputationImage and Vision ComputingComputer Vision and Image Understanding
- Partner nations
- United StatesChinaFrance
In The Last Decade
Huiying Shen
28 papers receiving 373 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 230
- Cognitive Neuroscience 211
- Human-Computer Interaction 103
- Building and Construction 62
- Automotive Engineering 39
Countries citing papers authored by Huiying Shen
This map shows the geographic impact of Huiying 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 Huiying Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiying Shen more than expected).
Fields of papers citing papers by Huiying Shen
This network shows the impact of papers produced by Huiying 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 Huiying Shen. The network helps show where Huiying Shen may publish in the future.
Co-authorship network of co-authors of Huiying Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Huiying Shen. A scholar is included among the top collaborators of Huiying 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 Huiying Shen. Huiying Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 9 | |
| 4 | Towards Accessible Audio Labeling of 3D Objects. | 8 |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 5 | |
| 8 | 5 | |
| 9 | 27 | |
| 10 | 22 | |
| 11 | 10 | |
| 12 | 22 | |
| 13 | 7 | |
| 14 | 47 | |
| 15 | 39 | |
| 16 | 15 | |
| 17 | Terrain Analysis for Blind Wheelchair Users: Computer Vision Algorithms for Finding Curbs and other Negative Obstacles. | 4 |
| 18 | 16 | |
| 19 | 5 | |
| 20 | 15 |
About Huiying Shen
Huiying Shen is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 28 papers that have together received 403 indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (13 papers), Video Surveillance and Tracking Methods (11 papers) and Advanced Image and Video Retrieval Techniques (6 papers). The work is most often cited by research in Human-Computer Interaction (103 citations), Computer Vision and Pattern Recognition (230 citations) and Cognitive Neuroscience (211 citations). Huiying Shen has collaborated with scholars based in United States, China and France. Frequent co-authors include James M. Coughlan, V. Ivanchenko, Roberto Manduchi, Shi, Ender Tekin, Owen Edwards, Joshua A. Miele, John A. Brabyn, Pannag Sanketi and Carl R. Barthelemy. Their work appears in journals such as Applied Mathematics and Computation, Image and Vision Computing and Computer Vision and Image Understanding.
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.