Yo-Ping Huang
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Co-authors
- Yufeng KouChang‐Tien LuFrode Eika SandnesHung‐Chi ChuTsu‐Tian LeeShen‐Ing LiuKris M. Y. LawYueh‐Min Huang
- Topics
- Advanced Image and Video Retrieval Techniques (10 papers)Image Retrieval and Classification Techniques (9 papers)Data Mining Algorithms and Applications (6 papers)
In The Last Decade
Yo-Ping Huang
44 papers receiving 562 citations
Peers
Comparison fields: 5 of 116
- Artificial Intelligence 262
- Computer Vision and Pattern Recognition 135
- Information Systems 132
- Electrical and Electronic Engineering 77
- Computer Networks and Communications 76
Countries citing papers authored by Yo-Ping Huang
This map shows the geographic impact of Yo-Ping 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 Yo-Ping Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yo-Ping Huang more than expected).
Fields of papers citing papers by Yo-Ping Huang
This network shows the impact of papers produced by Yo-Ping 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 Yo-Ping Huang. The network helps show where Yo-Ping Huang may publish in the future.
Co-authorship network of co-authors of Yo-Ping Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Yo-Ping Huang. A scholar is included among the top collaborators of Yo-Ping 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 Yo-Ping Huang. Yo-Ping 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 | 1 | |
| 2 | 10 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 7 | |
| 6 | 24 | |
| 7 | 3 | |
| 8 | A GA-Based Fuzzy Recommender System for Region-Based Image Retrieval | 1 |
| 9 | Video Super-Resolution by Motion Compensated Iterative Back-Projection Approach | 3 |
| 10 | 9 | |
| 11 | A General and Effective Two-Stage Approach for Region-Based Image Retrieval | 2 |
| 12 | A Comparative Study of Learning Motivation among Engineering Students in South East Asia and Beyond | 22 |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | Experiences of Teaching Engineering Students in Taiwan from a Western Perspective | 14 |
| 17 | 12 | |
| 18 | 1 | |
| 19 | 21 | |
| 20 | 61 |
About Yo-Ping Huang
Yo-Ping Huang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 48 papers that have together received 632 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Image Retrieval and Classification Techniques (9 papers) and Data Mining Algorithms and Applications (6 papers). The work is most often cited by research in Artificial Intelligence (262 citations), Computer Vision and Pattern Recognition (135 citations) and Information Systems (132 citations). Yo-Ping Huang has collaborated with scholars based in Taiwan, Norway and China. Frequent co-authors include Yufeng Kou, Chang‐Tien Lu, Frode Eika Sandnes, Hung‐Chi Chu, Tsu‐Tian Lee, Shen‐Ing Liu, Kris M. Y. Law, Yueh‐Min Huang, Simen Hagen and Fang‐Ju Sun. Their work appears in journals such as Expert Systems with Applications, Fuzzy Sets and Systems and Applied Soft Computing.
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.