T.-M. Tu
Impact in
- Media Technology top 0.5%
- Advanced Image Fusion Techniques
- Remote-Sensing Image Classification
-
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Advanced Steganography and Watermarking Techniques
- Chaos-based Image/Signal Encryption
- Digital Media Forensic Detection
Papers in
-
- Remote-Sensing Image Classification 3
- Advanced Image Fusion Techniques 2
-
- Chaos-based Image/Signal Encryption 1
- Image Enhancement Techniques 1
- Advanced Data Compression Techniques 1
- Co-authors
- Ping Huang (3 shared papers)Chia‐Ling Hung (1 shared paper)Ping Huang (2 shared papers)Yu-Hsiang Su (1 shared paper)Chien-Ping Chang (1 shared paper)Jen‐Chun Lee (1 shared paper)
- Journals
- IEEE Geoscience and Remote Sensing Letters (1 paper)IEE Proceedings - Vision Image and Signal Processing (3 papers)Advances in economics, business and management research (1 paper)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
T.-M. Tu
6 papers receiving 584 citations
T.-M. Tu's Hit Papers
Peers
Comparison fields: 5 of 49
- Media Technology 521
- Computer Vision and Pattern Recognition 421
- Aerospace Engineering 63
- Analytical Chemistry 21
- Space and Planetary Science 3
Countries citing papers authored by T.-M. Tu
This map shows the geographic impact of T.-M. Tu'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 T.-M. Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.-M. Tu more than expected).
Fields of papers citing papers by T.-M. Tu
This network shows the impact of papers produced by T.-M. Tu. 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 T.-M. Tu. The network helps show where T.-M. Tu may publish in the future.
Co-authors
The 6 scholars most cited alongside T.-M. Tu, 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 | A Fast Intensity–Hue–Saturation Fusion Technique With Spectral Adjustment for IKONOS Imagery Hit paper breakdown → | 2004 | 517 |
| 2 | 2005 | 75 | |
| 3 | 2001 | 18 | |
| 4 | 2006 | 11 | |
| 5 | 2004 | 8 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 |
About T.-M. Tu
T.-M. Tu is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Signal Processing, Finance and General Economics, Econometrics and Finance, having authored 7 papers that have together received 630 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (3 papers), Advanced Image Fusion Techniques (2 papers), Chaos-based Image/Signal Encryption (1 paper), Image Enhancement Techniques (1 paper), Forensic and Genetic Research (1 paper), Global Financial Crisis and Policies (1 paper), Forensic Fingerprint Detection Methods (1 paper) and Advanced Data Compression Techniques (1 paper). The work is most often cited by research in Media Technology (521 citations), Computer Vision and Pattern Recognition (421 citations), Aerospace Engineering (63 citations), Analytical Chemistry (21 citations) and Space and Planetary Science (3 citations). T.-M. Tu has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Ping Huang, Chia‐Ling Hung, Ping Huang, Yu-Hsiang Su, Chien-Ping Chang and Jen‐Chun Lee. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, IEE Proceedings - Vision Image and Signal Processing and Advances in economics, business and management research.
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.