Yin‐Fu Huang
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Computer Vision and Pattern Recognition top 5%
- Computational Theory and Mathematics top 5%
- Co-authors
- Chia-Ming WangHan‐Chieh ChaoMeng-Yen HsiehShyh‐Huei ChenShuying ChenY.H. ChinJianying ChenWei‐Cheng Chen
- Topics
- Data Mining Algorithms and Applications (13 papers)Advanced Database Systems and Queries (13 papers)Video Analysis and Summarization (11 papers)
- Journals
- Expert Systems with ApplicationsIEEE AccessIEEE Journal on Selected Areas in Communications
- Partner nations
- TaiwanSouth KoreaChina
In The Last Decade
Yin‐Fu Huang
68 papers receiving 930 citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 400
- Computer Networks and Communications 317
- Information Systems 301
- Computer Vision and Pattern Recognition 174
- Computational Theory and Mathematics 168
Countries citing papers authored by Yin‐Fu Huang
This map shows the geographic impact of Yin‐Fu Huang'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 Yin‐Fu Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin‐Fu Huang more than expected).
Fields of papers citing papers by Yin‐Fu Huang
This network shows the impact of papers produced by Yin‐Fu Huang. 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 Yin‐Fu Huang. The network helps show where Yin‐Fu Huang may publish in the future.
Co-authorship network of co-authors of Yin‐Fu Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Yin‐Fu Huang. A scholar is included among the top collaborators of Yin‐Fu Huang 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 Yin‐Fu Huang. Yin‐Fu Huang 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 | 6 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | Accelerating XML Query Processing on Views | 1 |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 209 | |
| 13 | Mining Intronic Sequence Features of Splice Sites with Depth-Breadth Fused Codon Analyses. | 3 |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 0 | |
| 18 | Fragment Allocation in Distributed Database Design | 48 |
| 19 | A Design and Implementation of Museum Multimedia Information System. | 1 |
| 20 | Performance Evaluation of Three Locking Protocols | 1 |
About Yin‐Fu Huang
Yin‐Fu Huang is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 79 papers that have together received 1.0k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (13 papers), Advanced Database Systems and Queries (13 papers) and Video Analysis and Summarization (11 papers). The work is most often cited by research in Signal Processing (152 citations), Computer Networks and Communications (317 citations) and Information Systems (301 citations). Yin‐Fu Huang has collaborated with scholars based in Taiwan, South Korea and China. Frequent co-authors include Chia-Ming Wang, Han‐Chieh Chao, Meng-Yen Hsieh, Shyh‐Huei Chen, Shuying Chen, Y.H. Chin, Jianying Chen, Wei‐Cheng Chen, Liwen Chen and Heng Lin. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Journal on Selected Areas in Communications.
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.