Pei-Ying Chiang
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Cognitive Neuroscience
- Control and Systems Engineering top 10%
- Computational Mechanics
- Co-authors
- Bor-Shing LinZhigang DengUlrich NeumannWen‐Hung LiaoTsai‐Yen LiChih‐Wei PengI‐Jung LeeShih-Syun Lin
- Topics
- Face recognition and analysis (4 papers)Augmented Reality Applications (4 papers)Tactile and Sensory Interactions (4 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Pei-Ying Chiang
25 papers receiving 391 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 255
- Human-Computer Interaction 91
- Cognitive Neuroscience 90
- Control and Systems Engineering 86
- Computational Mechanics 48
Countries citing papers authored by Pei-Ying Chiang
This map shows the geographic impact of Pei-Ying Chiang'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 Pei-Ying Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei-Ying Chiang more than expected).
Fields of papers citing papers by Pei-Ying Chiang
This network shows the impact of papers produced by Pei-Ying Chiang. 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 Pei-Ying Chiang. The network helps show where Pei-Ying Chiang may publish in the future.
Co-authorship network of co-authors of Pei-Ying Chiang
This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Ying Chiang. A scholar is included among the top collaborators of Pei-Ying Chiang 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 Pei-Ying Chiang. Pei-Ying Chiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 34 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 35 | |
| 8 | 12 | |
| 9 | 9 | |
| 10 | 13 | |
| 11 | 5 | |
| 12 | 28 | |
| 13 | 78 | |
| 14 | 6 | |
| 15 | 7 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | Feature-preserving simplification and sketch-based creation of 3d models | 1 |
| 19 | 85 | |
| 20 | Automatic Caricature Generation by Analyzing Facial Features | 48 |
About Pei-Ying Chiang
Pei-Ying Chiang is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 411 indexed citations. Recurring topics across this work include Face recognition and analysis (4 papers), Augmented Reality Applications (4 papers) and Tactile and Sensory Interactions (4 papers). The work is most often cited by research in Human-Computer Interaction (91 citations), Computer Vision and Pattern Recognition (255 citations) and Cognitive Neuroscience (90 citations). Pei-Ying Chiang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Bor-Shing Lin, Zhigang Deng, Ulrich Neumann, Wen‐Hung Liao, Tsai‐Yen Li, Chih‐Wei Peng, I‐Jung Lee, Shih-Syun Lin, Chien‐Hung Huang and C.‐C. Jay Kuo. Their work appears in journals such as Sensors, Sustainability and Applied Sciences.
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.