Yung-Pin Lee
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Biomedical Engineering
- Hardware and Architecture
- Co-authors
- Liang‐Gee ChenMei‐Juan ChenTzi‐Dar ChiuehThou-Ho ChenBo‐Wei ChenWenbo LiuYun ChiuTzu-Yi Yang
- Topics
- Analog and Mixed-Signal Circuit Design (8 papers)Video Coding and Compression Technologies (6 papers)Advanced Data Compression Techniques (5 papers)
- Journals
- IEEE Journal of Solid-State CircuitsNutrientsIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yung-Pin Lee
21 papers receiving 292 citations
Peers
Comparison fields: 5 of 50
- Signal Processing 143
- Computer Vision and Pattern Recognition 138
- Electrical and Electronic Engineering 127
- Biomedical Engineering 120
- Hardware and Architecture 18
Countries citing papers authored by Yung-Pin Lee
This map shows the geographic impact of Yung-Pin 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 Yung-Pin Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung-Pin Lee more than expected).
Fields of papers citing papers by Yung-Pin Lee
This network shows the impact of papers produced by Yung-Pin 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 Yung-Pin Lee. The network helps show where Yung-Pin Lee may publish in the future.
Co-authorship network of co-authors of Yung-Pin Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Yung-Pin Lee. A scholar is included among the top collaborators of Yung-Pin 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 Yung-Pin Lee. Yung-Pin 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 | 7 | |
| 2 | 25 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 33 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 20 | |
| 12 | 9 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 73 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 67 | |
| 20 | 8 |
About Yung-Pin Lee
Yung-Pin Lee is a scholar working on Signal Processing, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 310 indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (8 papers), Video Coding and Compression Technologies (6 papers) and Advanced Data Compression Techniques (5 papers). The work is most often cited by research in Signal Processing (143 citations), Computer Vision and Pattern Recognition (138 citations) and Biomedical Engineering (120 citations). Yung-Pin Lee has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Liang‐Gee Chen, Mei‐Juan Chen, Tzi‐Dar Chiueh, Thou-Ho Chen, Bo‐Wei Chen, Wenbo Liu, Yun Chiu, Tzu-Yi Yang, Gin-Kou Ma and Jong‐Kang Liu. Their work appears in journals such as IEEE Journal of Solid-State Circuits, Nutrients and IEEE Transactions on Circuits and Systems for Video Technology.
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.