Chang-Hsing Lee
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 1%
- Developmental Biology top 1%
- Computational Mechanics top 10%
- Artificial Intelligence top 10%
- Co-authors
- Jau-Ling ShihLing‐Hwei ChenChin‐Chuan HanChih-Hsun ChouCheng‐Chang LienKun-Ming YuPhill Kyu RheeTzu-Hsiang Hsu
- Topics
- Music and Audio Processing (17 papers)Speech and Audio Processing (13 papers)Advanced Image and Video Retrieval Techniques (13 papers)
- Journals
- Journal of Applied PhysicsIEEE Transactions on Image ProcessingExpert Systems with Applications
- Partner nations
- TaiwanSouth Korea
In The Last Decade
Chang-Hsing Lee
60 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 806
- Signal Processing 499
- Developmental Biology 246
- Computational Mechanics 145
- Artificial Intelligence 119
Countries citing papers authored by Chang-Hsing Lee
This map shows the geographic impact of Chang-Hsing Lee'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 Chang-Hsing Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang-Hsing Lee more than expected).
Fields of papers citing papers by Chang-Hsing Lee
This network shows the impact of papers produced by Chang-Hsing Lee. 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 Chang-Hsing Lee. The network helps show where Chang-Hsing Lee may publish in the future.
Co-authorship network of co-authors of Chang-Hsing Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Chang-Hsing Lee. A scholar is included among the top collaborators of Chang-Hsing Lee 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 Chang-Hsing Lee. Chang-Hsing Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 50 | |
| 11 | 6 | |
| 12 | A 3D Model Retrieval System Based On the Derivative Radial Distance | 1 |
| 13 | 4 | |
| 14 | Automatic Recognition of Birdsongs Using Mel-frequency Cepstral Coefficients and Vector Quantization. | 5 |
| 15 | 29 | |
| 16 | Automatic Recognition of Bird Songs Using Cepstral Coefficients | 32 |
| 17 | 68 | |
| 18 | 65 | |
| 19 | 70 | |
| 20 | 2 |
About Chang-Hsing Lee
Chang-Hsing Lee is a scholar working on Developmental Biology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 70 papers that have together received 1.4k indexed citations. Recurring topics across this work include Music and Audio Processing (17 papers), Speech and Audio Processing (13 papers) and Advanced Image and Video Retrieval Techniques (13 papers). The work is most often cited by research in Developmental Biology (246 citations), Signal Processing (499 citations) and Computer Vision and Pattern Recognition (806 citations). Chang-Hsing Lee has collaborated with scholars based in Taiwan and South Korea. Frequent co-authors include Jau-Ling Shih, Ling‐Hwei Chen, Chin‐Chuan Han, Chih-Hsun Chou, Cheng‐Chang Lien, Kun-Ming Yu, Phill Kyu Rhee, Tzu-Hsiang Hsu, Yeuan-Kuen Lee and Weikang Wang. Their work appears in journals such as Journal of Applied Physics, IEEE Transactions on Image Processing and Expert Systems with Applications.
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.