Tsorng-Lin Chia
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Cognitive Neuroscience
- Human-Computer Interaction top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- Chia‐Yen YangZen ChenRan-Zan WangShih‐Yu HuangDer‐Chyuan LouYeuan-Kuen LeeMing-Che LeeJia-Wei Chang
- Topics
- Advanced Vision and Imaging (10 papers)Image and Object Detection Techniques (5 papers)Robotics and Sensor-Based Localization (5 papers)
- Journals
- IEEE Transactions on Image ProcessingInformation SciencesIEEE Transactions on Robotics and Automation
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Tsorng-Lin Chia
25 papers receiving 298 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 154
- Biomedical Engineering 119
- Cognitive Neuroscience 92
- Human-Computer Interaction 59
- Cellular and Molecular Neuroscience 42
Countries citing papers authored by Tsorng-Lin Chia
This map shows the geographic impact of Tsorng-Lin Chia'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 Tsorng-Lin Chia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsorng-Lin Chia more than expected).
Fields of papers citing papers by Tsorng-Lin Chia
This network shows the impact of papers produced by Tsorng-Lin Chia. 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 Tsorng-Lin Chia. The network helps show where Tsorng-Lin Chia may publish in the future.
Co-authorship network of co-authors of Tsorng-Lin Chia
This figure shows the co-authorship network connecting the top 25 collaborators of Tsorng-Lin Chia. A scholar is included among the top collaborators of Tsorng-Lin Chia 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 Tsorng-Lin Chia. Tsorng-Lin Chia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 33 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | Analysis of Evaluation Metrics for Image Segmentation. | 2 |
| 8 | 126 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | Low-Cost Smart Projector for Home Entertainment * | 2 |
| 12 | 1 | |
| 13 | 6 | |
| 14 | Recognize Aircraft in ISAR Images | 2 |
| 15 | A geometric invariant approach to human face verification | 2 |
| 16 | Parallel Execution of a Connected Component Labeling Operation on a Linear Array Architecture | 26 |
| 17 | 16 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 4 |
About Tsorng-Lin Chia
Tsorng-Lin Chia is a scholar working on Computer Vision and Pattern Recognition, Geology and Computer Graphics and Computer-Aided Design, having authored 29 papers that have together received 328 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (10 papers), Image and Object Detection Techniques (5 papers) and Robotics and Sensor-Based Localization (5 papers). The work is most often cited by research in Human-Computer Interaction (59 citations), Computer Vision and Pattern Recognition (154 citations) and Cognitive Neuroscience (92 citations). Tsorng-Lin Chia has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Chia‐Yen Yang, Zen Chen, Ran-Zan Wang, Shih‐Yu Huang, Der‐Chyuan Lou, Yeuan-Kuen Lee, Ming-Che Lee, Jia-Wei Chang, Xuming Chen and Sheng‐Cheng Yeh. Their work appears in journals such as IEEE Transactions on Image Processing, Information Sciences and IEEE Transactions on Robotics and Automation.
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.