Shih-Syun Lin
- Computer Vision and Pattern Recognition top 5%
- Information Systems top 10%
- Pulmonary and Respiratory Medicine
- Media Technology top 5%
- Artificial Intelligence
- Co-authors
- Tong‐Yee LeeChao‐Hung LinYi‐Zeng HsiehMin‐Chun HuNaomi A. UbinaShyi‐Chyi ChengHoward I. ScherD. David Dershaw
- Topics
- Advanced Image and Video Retrieval Techniques (9 papers)Advanced Vision and Imaging (7 papers)Visual Attention and Saliency Detection (6 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaSensors
- Partner nations
- TaiwanPhilippinesJapan
In The Last Decade
Shih-Syun Lin
38 papers receiving 614 citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 304
- Information Systems 80
- Pulmonary and Respiratory Medicine 63
- Media Technology 58
- Artificial Intelligence 48
Countries citing papers authored by Shih-Syun Lin
This map shows the geographic impact of Shih-Syun Lin'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 Shih-Syun Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih-Syun Lin more than expected).
Fields of papers citing papers by Shih-Syun Lin
This network shows the impact of papers produced by Shih-Syun Lin. 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 Shih-Syun Lin. The network helps show where Shih-Syun Lin may publish in the future.
Co-authorship network of co-authors of Shih-Syun Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Syun Lin. A scholar is included among the top collaborators of Shih-Syun Lin 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 Shih-Syun Lin. Shih-Syun Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | Design of an IoT-Based Mountaineering Team Management Device Using Kalman Filter Algorithm | 2 |
| 8 | 34 | |
| 9 | 22 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 10 | |
| 13 | 18 | |
| 14 | 12 | |
| 15 | 31 | |
| 16 | 35 | |
| 17 | 80 | |
| 18 | 3 | |
| 19 | 18 | |
| 20 | 63 |
About Shih-Syun Lin
Shih-Syun Lin is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 42 papers that have together received 634 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Advanced Vision and Imaging (7 papers) and Visual Attention and Saliency Detection (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (304 citations), Human-Computer Interaction (42 citations) and Media Technology (58 citations). Shih-Syun Lin has collaborated with scholars based in Taiwan, Philippines and Japan. Frequent co-authors include Tong‐Yee Lee, Chao‐Hung Lin, Yi‐Zeng Hsieh, Min‐Chun Hu, Naomi A. Ubina, Shyi‐Chyi Cheng, Howard I. Scher, D. David Dershaw, Jerome S. Nisselbaum and Morton K. Schwartz. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología 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.