Sheng-Wen Shih
- Computer Vision and Pattern Recognition top 5%
- Human-Computer Interaction top 5%
- Signal Processing top 10%
- Media Technology top 5%
- Aerospace Engineering
- Co-authors
- Yi‐Ping HungWei‐Song LinDuan-Yu ChenWen‐Shiung ChenHong-Yuan Mark LiaoArthur Chun-Chieh ShihChien‐Chung LinYili Liu
- Topics
- Advanced Vision and Imaging (16 papers)Optical measurement and interference techniques (11 papers)Human Pose and Action Recognition (9 papers)
- Partner nations
- TaiwanCanadaUnited States
In The Last Decade
Sheng-Wen Shih
45 papers receiving 476 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 347
- Human-Computer Interaction 113
- Signal Processing 99
- Media Technology 77
- Aerospace Engineering 48
Countries citing papers authored by Sheng-Wen Shih
This map shows the geographic impact of Sheng-Wen Shih'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 Sheng-Wen Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng-Wen Shih more than expected).
Fields of papers citing papers by Sheng-Wen Shih
This network shows the impact of papers produced by Sheng-Wen Shih. 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 Sheng-Wen Shih. The network helps show where Sheng-Wen Shih may publish in the future.
Co-authorship network of co-authors of Sheng-Wen Shih
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng-Wen Shih. A scholar is included among the top collaborators of Sheng-Wen Shih 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 Sheng-Wen Shih. Sheng-Wen Shih 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 | 13 | |
| 3 | 3 | |
| 4 | 30 | |
| 5 | 26 | |
| 6 | 25 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 23 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 4 | |
| 18 | Error Analysis on Closed-Form Solutions for Kinematic Calibration | 2 |
| 19 | 7 | |
| 20 | When Should We Consider Lens Distortion in Camera Calibration. | 1 |
About Sheng-Wen Shih
Sheng-Wen Shih is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Signal Processing, having authored 48 papers that have together received 501 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (16 papers), Optical measurement and interference techniques (11 papers) and Human Pose and Action Recognition (9 papers). The work is most often cited by research in Human-Computer Interaction (113 citations), Computer Vision and Pattern Recognition (347 citations) and Signal Processing (99 citations). Sheng-Wen Shih has collaborated with scholars based in Taiwan, Canada and United States. Frequent co-authors include Yi‐Ping Hung, Wei‐Song Lin, Duan-Yu Chen, Wen‐Shiung Chen, Hong-Yuan Mark Liao, Arthur Chun-Chieh Shih, Chien‐Chung Lin, Yili Liu, H. Liao and Hsiao-Rong Tyan. Their work appears in journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Pattern Recognition.
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.