Ming‐Huwi Horng
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Surgery
- Media Technology top 2%
- Co-authors
- Yung‐Nien SunYung-Nien SunChih-Feng ChaoXi‐Zhang LinTai‐Hua YangXiaojun LinCheng‐Wei YangNan‐Haw Chow
- Topics
- Medical Image Segmentation Techniques (10 papers)Image Enhancement Techniques (9 papers)Image Processing Techniques and Applications (6 papers)
- Partner nations
- Taiwan
In The Last Decade
Ming‐Huwi Horng
43 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 605
- Artificial Intelligence 431
- Biomedical Engineering 213
- Surgery 197
- Media Technology 180
Countries citing papers authored by Ming‐Huwi Horng
This map shows the geographic impact of Ming‐Huwi Horng'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 Ming‐Huwi Horng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Huwi Horng more than expected).
Fields of papers citing papers by Ming‐Huwi Horng
This network shows the impact of papers produced by Ming‐Huwi Horng. 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 Ming‐Huwi Horng. The network helps show where Ming‐Huwi Horng may publish in the future.
Co-authorship network of co-authors of Ming‐Huwi Horng
This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Huwi Horng. A scholar is included among the top collaborators of Ming‐Huwi Horng 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 Ming‐Huwi Horng. Ming‐Huwi Horng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 3 | |
| 6 | 23 | |
| 7 | 2 | |
| 8 | 31 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | Multi-class Classification of Ultrasonic Supraspinatus Images based on Radial Basis Function Neural Network | 7 |
| 15 | 20 | |
| 16 | 36 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 73 | |
| 20 | 7 |
About Ming‐Huwi Horng
Ming‐Huwi Horng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Informatics, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Image Enhancement Techniques (9 papers) and Image Processing Techniques and Applications (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (605 citations), Health Informatics (35 citations) and Media Technology (180 citations). Ming‐Huwi Horng has collaborated with scholars based in Taiwan. Frequent co-authors include Yung‐Nien Sun, Yung-Nien Sun, Chih-Feng Chao, Xi‐Zhang Lin, Tai‐Hua Yang, Xiaojun Lin, Cheng‐Wei Yang, Nan‐Haw Chow, Yu‐Ming Liao and Shumin Chen. Their work appears in journals such as Expert Systems with Applications, Anesthesiology and Materials.
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.