T.-M. Tu

737 citations
5 papers · 597 · 1 hit paper · h-index 5

Impact in

    • 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

T.-M. Tu

5 papers receiving 558 citations

T.-M. Tu's Hit Papers

A Fast Intensity–Hue–Saturation Fusion Technique With Spectral Adjustment for IKONOS Imagery 2004 · 495 citations
4950+7+14Years since publication100200300400

Peers

T.-M. Tu
Comparison fields: 5 of 43
  • Media Technology 499
  • Computer Vision and Pattern Recognition 407
  • Aerospace Engineering 60
  • Analytical Chemistry 19
  • Signal Processing 17
Replace Yuancheng Huang with:
Yuancheng Huang China
Luca Capobianco Italy
Xuanwen Tao Spain
Ruoxi Song China
О. В. Выголов Russia
Wen-Shuai Hu China
Chiru Ge China
Hailong Ning China
Songze Tang China
T.-M. Tu relative to Yuancheng Huang China Yuancheng Huang's profile →
Citations per field
00.5×3.4×
Yuancheng Huang · 1×
Citations per year

Countries citing papers authored by T.-M. Tu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with T.-M. Tu Line = papers co-authored together T.-M. Tu links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
A Fast Intensity–Hue–Saturation Fusion Technique With Spectral Adjustment for IKONOS Imagery
Hit paper breakdown →
2004495
2 200570
3 200116
4 200610
5 20046

About T.-M. Tu

T.-M. Tu is a scholar working on Media Technology, Computer Vision and Pattern Recognition, Signal Processing, Safety Research and Atmospheric Science, having authored 5 papers that have together received 597 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (3 papers), Advanced Image Fusion Techniques (2 papers), Forensic and Genetic Research (1 paper), Forensic Fingerprint Detection Methods (1 paper), Blind Source Separation Techniques (1 paper), Remote Sensing and Land Use (1 paper), Biometric Identification and Security (1 paper) and Advanced Steganography and Watermarking Techniques (1 paper). The work is most often cited by research in Media Technology (499 citations), Computer Vision and Pattern Recognition (407 citations), Aerospace Engineering (60 citations), Analytical Chemistry (19 citations) and Signal Processing (17 citations). T.-M. Tu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ping Huang, Chia‐Ling Hung, Ping Huang, Jen‐Chun Lee, Chien-Ping Chang and Yu-Hsiang Su. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters and IEE Proceedings - Vision Image and Signal Processing.

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.

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