Tzu-Chao Lin
- Media Technology top 2%
- Advanced Image Fusion Techniques 12
- Remote-Sensing Image Classification 4
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- Image and Signal Denoising Methods 17
- Image Enhancement Techniques 4
- Signal Processing top 10%
- Blind Source Separation Techniques 8
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- Advanced Adaptive Filtering Techniques 4
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- Neural Networks and Applications 4
- Algorithms and Data Compression 3
- Journals
- Information Sciences (3 papers)Journal of Microbiology Immunology and Infection (3 papers)Computer Standards & Interfaces (2 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Tzu-Chao Lin
36 papers receiving 495 citations
Peers
Comparison fields: 5 of 109
- Media Technology 176
- Computer Vision and Pattern Recognition 314
- Signal Processing 70
- Molecular Medicine 17
- Endocrinology 13
Countries citing papers authored by Tzu-Chao Lin
This map shows the geographic impact of Tzu-Chao 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 Tzu-Chao Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tzu-Chao Lin more than expected).
Fields of papers citing papers by Tzu-Chao Lin
This network shows the impact of papers produced by Tzu-Chao 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 Tzu-Chao Lin. The network helps show where Tzu-Chao Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tzu-Chao Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | 2023 | 9 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 11 | |
| 6 | 2018 | 17 | |
| 7 | 2017 | 22 | |
| 8 | 2017 | 17 | |
| 9 | 2016 | 1 | |
| 10 | 2016 | 24 | |
| 11 | 2013 | 10 | |
| 12 | 2013 | 2 | |
| 13 | 2012 | 1 | |
| 14 | 2009 | 54 | |
| 15 | 2008 | 2 | |
| 16 | 2007 | 5 | |
| 17 | Salt-Pepper Impulse Noise Detection and Removal Using Multiple Thresholds for Image Restoration * | 2006 | 17 |
| 18 | 2006 | 21 | |
| 19 | 2006 | 89 | |
| 20 | 2004 | 30 |
About Tzu-Chao Lin
Tzu-Chao Lin is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 37 papers that have together received 541 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (17 papers), Advanced Image Fusion Techniques (12 papers), Blind Source Separation Techniques (8 papers), Advanced Adaptive Filtering Techniques (4 papers), Remote-Sensing Image Classification (4 papers), Neural Networks and Applications (4 papers), Image Enhancement Techniques (4 papers) and Algorithms and Data Compression (3 papers). The work is most often cited by research in Media Technology (176 citations), Computer Vision and Pattern Recognition (314 citations) and Signal Processing (70 citations). Tzu-Chao Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Pao-Ta Yu, Chao‐Ming Lin, Yi Lee, Ya‐Sung Yang, Rui‐Xin Wu, Jung‐Chung Lin, Feng‐Yee Chang, Meng‐Ni Wu, Ping‐Tao Tseng and Tien‐Yu Chen. Their work appears in journals such as Information Sciences, Journal of Microbiology Immunology and Infection, Computer Standards & Interfaces, Neural Computation and International Journal of Molecular 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.