Ching-Min Cheng
Impact in
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- Image and Signal Denoising Methods
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Data Compression Techniques
- Medical Image Segmentation Techniques
- Advanced Vision and Imaging
Papers in
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- Advanced Data Compression Techniques 9
- Image and Signal Denoising Methods 5
- Image Retrieval and Classification Techniques 5
- Image Enhancement Techniques 4
- Advanced Image and Video Retrieval Techniques 2
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- Video Coding and Compression Technologies 3
- Co-authors
- Soo‐Chang Pei (9 shared papers)Sheue‐Ling Hwang (2 shared papers)Lena Chang (4 shared papers)Chien‐Hsing Wu (1 shared paper)Li‐Chiu Chang (1 shared paper)Hungwen Li (1 shared paper)Bor-Shenn Jeng (1 shared paper)Yang-Lang Chang (2 shared papers)
In The Last Decade
Ching-Min Cheng
17 papers receiving 277 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 203
- Computational Mathematics 5
- Media Technology 49
- Signal Processing 39
- Applied Mathematics 37
Countries citing papers authored by Ching-Min Cheng
This map shows the geographic impact of Ching-Min Cheng'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 Ching-Min Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching-Min Cheng more than expected).
Fields of papers citing papers by Ching-Min Cheng
This network shows the impact of papers produced by Ching-Min Cheng. 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 Ching-Min Cheng. The network helps show where Ching-Min Cheng may publish in the future.
Co-authors
The 9 scholars most cited alongside Ching-Min Cheng, 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 | 1999 | 119 | |
| 2 | 1997 | 59 | |
| 3 | 2002 | 29 | |
| 4 | 1999 | 17 | |
| 5 | 1995 | 15 | |
| 6 | 2014 | 13 | |
| 7 | 2002 | 11 | |
| 8 | 1996 | 6 | |
| 9 | 2000 | 5 | |
| 10 | 1994 | 4 | |
| 11 | 2002 | 3 | |
| 12 | 2002 | 3 | |
| 13 | 2002 | 2 | |
| 14 | 2003 | 2 | |
| 15 | 2009 | 2 | |
| 16 | 2013 | 2 | |
| 17 | 1998 | 1 | |
| 18 | 2024 | 0 |
About Ching-Min Cheng
Ching-Min Cheng is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Radiological and Ultrasound Technology, Sociology and Political Science and Electrical and Electronic Engineering, having authored 18 papers that have together received 293 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (9 papers), Image and Signal Denoising Methods (5 papers), Image Retrieval and Classification Techniques (5 papers), Image Enhancement Techniques (4 papers), Video Coding and Compression Technologies (3 papers), Occupational Health and Safety Research (2 papers), Power Line Communications and Noise (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (203 citations), Computational Mathematics (5 citations), Media Technology (49 citations), Signal Processing (39 citations) and Applied Mathematics (37 citations). Ching-Min Cheng has collaborated with scholars based in Taiwan and Brazil. Frequent co-authors include Soo‐Chang Pei, Sheue‐Ling Hwang, Lena Chang, Chien‐Hsing Wu, Li‐Chiu Chang, Hungwen Li, Bor-Shenn Jeng, Yang-Lang Chang and Yi-Ting Chen. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Consumer Electronics, IEEE Transactions on Communications, Applied Ergonomics and IEEE Transactions on Image 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.