Min-Hung Yeh

1.4k citations
23 papers · 1.1k · h-index 15

Impact in

Papers in

Min-Hung Yeh

23 papers receiving 1.0k citations

Peers

Min-Hung Yeh
Comparison fields: 5 of 70
  • Applied Mathematics 720
  • Signal Processing 559
  • Computer Vision and Pattern Recognition 825
  • Acoustics and Ultrasonics 5
  • Media Technology 48
Replace Deyun Wei with:
Deyun Wei China
Eckhard Hitzer Japan
Mawardi Bahri Indonesia
Eric Weber United States
Amina Chebira United States
Wayne Lawton Singapore
Pankaj Topiwala United States
Masaru Takeuchi Japan
Theagenis J. Abatzoglou United States
Min-Hung Yeh relative to Deyun Wei China Deyun Wei's profile →
Citations per field
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Citations per year

Countries citing papers authored by Min-Hung Yeh

Since Specialization
Citations

This map shows the geographic impact of Min-Hung Yeh'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 Min-Hung Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min-Hung Yeh more than expected).

Fields of papers citing papers by Min-Hung Yeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Hung Yeh. 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 Min-Hung Yeh. The network helps show where Min-Hung Yeh may publish in the future.

Co-authors

The 4 scholars most cited alongside Min-Hung Yeh, 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 Min-Hung Yeh Line = papers co-authored together Min-Hung Yeh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999227
2 1997154
3 2001134
4 1999113
5 199894
6 199882
7 200064
8 200345
9 199929
10 201129
11 200222
12 200822
13 200322
14 200215
15 199714
16 200210
17 20178
18 20047
19 20026
20 19964

About Min-Hung Yeh

Min-Hung Yeh is a scholar working on Computer Vision and Pattern Recognition, Applied Mathematics, Signal Processing, Control and Systems Engineering and Analytical Chemistry, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (20 papers), Mathematical Analysis and Transform Methods (20 papers), Digital Filter Design and Implementation (17 papers), Machine Fault Diagnosis Techniques (3 papers), Spectroscopy and Chemometric Analyses (2 papers), Advanced Image Fusion Techniques (1 paper), Discourse Analysis in Language Studies (1 paper) and Consumer Behavior in Brand Consumption and Identification (1 paper). The work is most often cited by research in Applied Mathematics (720 citations), Signal Processing (559 citations), Computer Vision and Pattern Recognition (825 citations), Acoustics and Ultrasonics (5 citations) and Media Technology (48 citations). Min-Hung Yeh has collaborated with scholars based in Taiwan and United Kingdom. Frequent co-authors include Soo‐Chang Pei, Chien‐Cheng Tseng, Jong-Jy Shyu and Hsuan‐Yi Chou. Their work appears in journals such as Signal Processing, IEEE Transactions on Signal Processing, IEEE Signal Processing Letters, IEEE Signal Processing Magazine and Optics Letters.

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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