Te‐Ming Tu

1.7k total citations · 1 hit paper
31 papers, 1.3k citations indexed

About

Te‐Ming Tu is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Te‐Ming Tu has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Media Technology, 15 papers in Computer Vision and Pattern Recognition and 5 papers in Signal Processing. Recurrent topics in Te‐Ming Tu's work include Remote-Sensing Image Classification (16 papers), Advanced Image Fusion Techniques (12 papers) and Image Enhancement Techniques (7 papers). Te‐Ming Tu is often cited by papers focused on Remote-Sensing Image Classification (16 papers), Advanced Image Fusion Techniques (12 papers) and Image Enhancement Techniques (7 papers). Te‐Ming Tu collaborates with scholars based in Taiwan, United States and Türkiye. Te‐Ming Tu's co-authors include Ping Huang, Hsuen-Chyun Shyu, Chien-Ping Chang, Ping Huang, Chin‐Hsing Chen, Ko-Chin Chang, Chein‐I Chang, Chein‐I Chang, Ching-Luh Hsu and Jiunn‐Lin Wu and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Sensors and Pattern Recognition.

In The Last Decade

Te‐Ming Tu

30 papers receiving 1.3k citations

Hit Papers

A new look at IHS-like image fusion methods 2001 2026 2009 2017 2001 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A new look at IHS-like image fusion methods
    2001 711 citations Te‐Ming Tu, Hsuen-Chyun Shyu et al. Information Fusion profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Te‐Ming Tu Taiwan 14 1.0k 779 123 122 117 31 1.3k
Shen‐En Qian Canada 15 967 0.9× 800 1.0× 206 1.7× 167 1.4× 70 0.6× 59 1.4k
Qiangqiang Yuan China 6 766 0.7× 777 1.0× 115 0.9× 82 0.7× 59 0.5× 8 1.1k
Qi Wei France 10 1.4k 1.4× 1.1k 1.4× 110 0.9× 105 0.9× 90 0.8× 12 1.6k
Emmanuel Christophe France 10 484 0.5× 317 0.4× 196 1.6× 158 1.3× 58 0.5× 21 824
Zhenwei Shi China 13 804 0.8× 589 0.8× 339 2.8× 84 0.7× 158 1.4× 24 1.2k
Jiahui Qu China 24 1.1k 1.1× 519 0.7× 325 2.6× 99 0.8× 94 0.8× 80 1.4k
Guiyu Xia China 14 343 0.3× 403 0.5× 128 1.0× 54 0.4× 42 0.4× 31 789
Gabriel Martín Spain 15 618 0.6× 256 0.3× 328 2.7× 105 0.9× 43 0.4× 57 909
Shou Feng China 20 808 0.8× 397 0.5× 371 3.0× 77 0.6× 165 1.4× 76 1.2k
Wenqian Dong China 23 1.1k 1.1× 494 0.6× 299 2.4× 94 0.8× 85 0.7× 73 1.3k

Countries citing papers authored by Te‐Ming Tu

Since Specialization
Citations

This map shows the geographic impact of Te‐Ming 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 Te‐Ming Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te‐Ming Tu more than expected).

Fields of papers citing papers by Te‐Ming Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Te‐Ming 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 Te‐Ming Tu. The network helps show where Te‐Ming Tu may publish in the future.

Co-authorship network of co-authors of Te‐Ming Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Te‐Ming Tu. A scholar is included among the top collaborators of Te‐Ming Tu 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 Te‐Ming Tu. Te‐Ming Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Chung‐Hsien, et al.. (2022). A Variety of Choice Methods for Image-Based Artistic Rendering. Applied Sciences. 12(13). 6710–6710. 1 indexed citations
2.
Tu, Te‐Ming, et al.. (2012). An Adjustable Pan-Sharpening Approach for IKONOS/QuickBird/GeoEye-1/WorldView-2 Imagery. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5(1). 125–134. 45 indexed citations
3.
Tu, Te‐Ming, et al.. (2010). Saturation Adjustment Scheme of Blind Color Watermarking for Secret Text Hiding. Journal of Multimedia. 5(3). 4 indexed citations
4.
Tu, Te‐Ming, et al.. (2009). A New Vegetation Enhancement/Extraction Technique for IKONOS and QuickBird Imagery. IEEE Geoscience and Remote Sensing Letters. 6(2). 349–353. 15 indexed citations
5.
Chang, Chien-Ping, et al.. (2008). Using empirical mode decomposition for iris recognition. Computer Standards & Interfaces. 31(4). 729–739. 18 indexed citations
6.
Chang, Ko-Chin, Chien-Ping Chang, Ping Huang, & Te‐Ming Tu. (2008). A Novel Image Steganographic Method Using Tri-way Pixel-Value Differencing. Journal of Multimedia. 3(2). 123 indexed citations
7.
Chang, Ko-Chin, Ping Huang, Te‐Ming Tu, & Chien-Ping Chang. (2007). Adaptive image steganographic scheme based on Tri-way Pixel-Value Differencing. 1165–1170. 24 indexed citations
8.
Lee, Jen‐Chun, Ping Huang, Chien-Ping Chang, & Te‐Ming Tu. (2007). Novel and Fast Approach for Iris Location. 30. 139–142. 4 indexed citations
9.
Huang, Ping & Te‐Ming Tu. (2006). Reply to Erratum to “A new look at IHS-like image fusion methods”. Information Fusion. 8(2). 218–218. 7 indexed citations
10.
Tu, Te‐Ming. (2006). Modified smoothing-filter-based technique for IKONOS-QuickBird image fusion. Optical Engineering. 45(6). 66201–66201. 4 indexed citations
11.
Chang, Chung‐Liang & Te‐Ming Tu. (2005). Performance analysis of FFH/BFSK product-combining receiver with partial-band jamming over independent Rician fading channels. IEEE Transactions on Wireless Communications. 4(6). 2629–2635. 10 indexed citations
12.
Tu, Te‐Ming. (2005). Adjustable intensity-hue-saturation and Brovey transform fusion technique for IKONOS/QuickBird imagery. Optical Engineering. 44(11). 116201–116201. 56 indexed citations
13.
Huang, Ping & Te‐Ming Tu. (2004). A target fusion-based approach for classifying high spatial resolution imagery. 40. 175–181. 12 indexed citations
14.
Tu, Te‐Ming, et al.. (2001). A new look at IHS-like image fusion methods. Information Fusion. 2(3). 177–186. 711 indexed citations breakdown →
15.
16.
Tu, Te‐Ming, et al.. (1999). An oblique subspace projection approach for mixed pixel classification in hyperspectral images. Pattern Recognition. 32(8). 1399–1408. 13 indexed citations
17.
Tu, Te‐Ming, Chin‐Hsing Chen, Jiunn‐Lin Wu, & Chein‐I Chang. (1998). A fast two-stage classification method for high-dimensional remote sensing data. IEEE Transactions on Geoscience and Remote Sensing. 36(1). 182–191. 33 indexed citations
18.
Tu, Te‐Ming, Chin‐Hsing Chen, Jiunn‐Lin Wu, & Chein‐I Chang. (1998). (IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 36(1):182-191)A Fast Two Stage Classification Method for High Dimensional Remote Data.
19.
Tu, Te‐Ming, Chin‐Hsing Chen, & Chein‐I Chang. (1997). A posteriori least squares orthogonal subspace projection approach to desired signature extraction and detection. IEEE Transactions on Geoscience and Remote Sensing. 35(1). 127–139. 67 indexed citations
20.
Tu, Te‐Ming, et al.. (1996). Computation reduction of the maximum likelihood classifier using the Winograd identity. Pattern Recognition. 29(7). 1213–1220. 2 indexed citations

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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