Homer H. Chen
- Computer Vision and Pattern Recognition top 0.2%
- Signal Processing top 0.2%
- Media Technology top 0.5%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Co-authors
- Yi‐Hsuan YangChia‐Kai LiangYu‐Ching LinYa-Fan SuThomas S. HuangYi-Hsin HuangLi‐Wen ChangTai‐Hsiang Huang
- Topics
- Advanced Vision and Imaging (64 papers)Video Coding and Compression Technologies (43 papers)Music and Audio Processing (40 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Homer H. Chen
232 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 144
- Computer Vision and Pattern Recognition 2.6k
- Signal Processing 1.5k
- Media Technology 641
- Cognitive Neuroscience 523
- Artificial Intelligence 354
Countries citing papers authored by Homer H. Chen
This map shows the geographic impact of Homer H. Chen'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 Homer H. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Homer H. Chen more than expected).
Fields of papers citing papers by Homer H. Chen
This network shows the impact of papers produced by Homer H. Chen. 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 Homer H. Chen. The network helps show where Homer H. Chen may publish in the future.
Co-authorship network of co-authors of Homer H. Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Homer H. Chen. A scholar is included among the top collaborators of Homer H. Chen 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 Homer H. Chen. Homer H. Chen 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 | 4 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 19 | |
| 9 | 13 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 29 | |
| 13 | 10 | |
| 14 | 21 | |
| 15 | 170 | |
| 16 | Block-based computation adjustment for complexity-aware live streaming systems | 1 |
| 17 | Category decomposition based on sub-space method with learning process | 1 |
| 18 | 6 | |
| 19 | Joint motion estimation and segmentation for very low bit rate video coding | 1 |
| 20 | 1 |
About Homer H. Chen
Homer H. Chen is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 245 papers that have together received 4.0k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (64 papers), Video Coding and Compression Technologies (43 papers) and Music and Audio Processing (40 papers). The work is most often cited by research in Signal Processing (1.5k citations), Computer Vision and Pattern Recognition (2.6k citations) and Media Technology (641 citations). Homer H. Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yi‐Hsuan Yang, Chia‐Kai Liang, Yu‐Ching Lin, Ya-Fan Su, Thomas S. Huang, Yi-Hsin Huang, Li‐Wen Chang, Tai‐Hsiang Huang, Chi Liu and Liang‐Gee Chen. Their work appears in journals such as Blood, Applied Physics Letters and The Journal of Immunology.
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.