Hung-Chi Fang
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Hardware and Architecture top 10%
- Co-authors
- Liang‐Gee ChenTu-Chih WangYu‐Wen HuangChung-Jr LianYu‐Wei ChangPo-Chih TsengChao-Tsung HuangChing-Yeh Chen
- Topics
- Advanced Data Compression Techniques (31 papers)Video Coding and Compression Technologies (21 papers)Digital Filter Design and Implementation (16 papers)
- Journals
- Proceedings of the IEEEIEEE Transactions on Signal ProcessingIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- Taiwan
In The Last Decade
Hung-Chi Fang
32 papers receiving 532 citations
Peers
Comparison fields: 5 of 24
- Computer Vision and Pattern Recognition 467
- Signal Processing 452
- Electrical and Electronic Engineering 78
- Computer Networks and Communications 54
- Hardware and Architecture 41
Countries citing papers authored by Hung-Chi Fang
This map shows the geographic impact of Hung-Chi Fang'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 Hung-Chi Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung-Chi Fang more than expected).
Fields of papers citing papers by Hung-Chi Fang
This network shows the impact of papers produced by Hung-Chi Fang. 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 Hung-Chi Fang. The network helps show where Hung-Chi Fang may publish in the future.
Co-authorship network of co-authors of Hung-Chi Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Hung-Chi Fang. A scholar is included among the top collaborators of Hung-Chi Fang 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 Hung-Chi Fang. Hung-Chi Fang 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 | 6 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 112 | |
| 9 | 31 | |
| 10 | 15 | |
| 11 | 10 | |
| 12 | 25 | |
| 13 | 5 | |
| 14 | 14 | |
| 15 | 6 | |
| 16 | 6 | |
| 17 | 42 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 1 |
About Hung-Chi Fang
Hung-Chi Fang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 33 papers that have together received 556 indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (31 papers), Video Coding and Compression Technologies (21 papers) and Digital Filter Design and Implementation (16 papers). The work is most often cited by research in Signal Processing (452 citations), Computer Vision and Pattern Recognition (467 citations) and Hardware and Architecture (41 citations). Hung-Chi Fang has collaborated with scholars based in Taiwan. Frequent co-authors include Liang‐Gee Chen, Tu-Chih Wang, Yu‐Wen Huang, Chung-Jr Lian, Yu‐Wei Chang, Po-Chih Tseng, Chao-Tsung Huang, Ching-Yeh Chen, Tung-Chien Chen and Chen‐Han Tsai. Their work appears in journals such as Proceedings of the IEEE, IEEE Transactions on Signal Processing 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.