Pei‐Yung Hsiao
- Computer Vision and Pattern Recognition top 1%
- Automotive Engineering top 2%
- Electrical and Electronic Engineering
- Artificial Intelligence top 5%
- Media Technology top 2%
- Co-authors
- Li‐Chen FuShih-Shinh HuangMei‐Ling YehShyi‐Ming ChenYi-Ming ChanRay-I ChangChung‐Jen ChenJin-Tai Yan
- Topics
- Video Surveillance and Tracking Methods (33 papers)VLSI and FPGA Design Techniques (26 papers)Autonomous Vehicle Technology and Safety (20 papers)
In The Last Decade
Pei‐Yung Hsiao
90 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Computer Vision and Pattern Recognition 770
- Automotive Engineering 357
- Electrical and Electronic Engineering 233
- Artificial Intelligence 230
- Media Technology 154
Countries citing papers authored by Pei‐Yung Hsiao
This map shows the geographic impact of Pei‐Yung Hsiao'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‐Yung Hsiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Yung Hsiao more than expected).
Fields of papers citing papers by Pei‐Yung Hsiao
This network shows the impact of papers produced by Pei‐Yung Hsiao. 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‐Yung Hsiao. The network helps show where Pei‐Yung Hsiao may publish in the future.
Co-authorship network of co-authors of Pei‐Yung Hsiao
This figure shows the co-authorship network connecting the top 25 collaborators of Pei‐Yung Hsiao. A scholar is included among the top collaborators of Pei‐Yung Hsiao 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‐Yung Hsiao. Pei‐Yung Hsiao 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 | 72 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 48 | |
| 6 | 14 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | Realize a mobile lane detection system based on pocket PC portable devices | 1 |
| 10 | 54 | |
| 11 | 57 | |
| 12 | 24 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 7 | |
| 18 | 1 | |
| 19 | 1 | |
| 20 | 6 |
About Pei‐Yung Hsiao
Pei‐Yung Hsiao is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Hardware and Architecture, having authored 102 papers that have together received 1.3k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (33 papers), VLSI and FPGA Design Techniques (26 papers) and Autonomous Vehicle Technology and Safety (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (770 citations), Automotive Engineering (357 citations) and Media Technology (154 citations). Pei‐Yung Hsiao has collaborated with scholars based in Taiwan, Singapore and China. Frequent co-authors include Li‐Chen Fu, Shih-Shinh Huang, Mei‐Ling Yeh, Shyi‐Ming Chen, Yi-Ming Chan, Ray-I Chang, Chung‐Jen Chen, Jin-Tai Yan, Sao‐Jie Chen and Wen-Chung Kao. Their work appears in journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Image Processing and Sensors.
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.