Wen‐Hung Liao
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Biomedical Engineering
- Cognitive Neuroscience
- Co-authors
- J.K. AggarwalBikash SabataQ. CaiChien‐Ming YangPei-Ying ChiangTsai‐Yen LiYu-Kai LinKuo‐Hsin Tseng
- Topics
- Advanced Image and Video Retrieval Techniques (12 papers)Image Retrieval and Classification Techniques (9 papers)Advanced Vision and Imaging (8 papers)
- Journals
- IEEE AccessSensorsBMC Bioinformatics
- Partner nations
- TaiwanUnited StatesItaly
In The Last Decade
Wen‐Hung Liao
53 papers receiving 600 citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 351
- Artificial Intelligence 104
- Signal Processing 90
- Biomedical Engineering 72
- Cognitive Neuroscience 59
Countries citing papers authored by Wen‐Hung Liao
This map shows the geographic impact of Wen‐Hung Liao'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 Wen‐Hung Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Hung Liao more than expected).
Fields of papers citing papers by Wen‐Hung Liao
This network shows the impact of papers produced by Wen‐Hung Liao. 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 Wen‐Hung Liao. The network helps show where Wen‐Hung Liao may publish in the future.
Co-authorship network of co-authors of Wen‐Hung Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Hung Liao. A scholar is included among the top collaborators of Wen‐Hung Liao 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 Wen‐Hung Liao. Wen‐Hung Liao 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 32 | |
| 11 | Analysis of 3D Modeling Software Usage Patterns for K-12 Students. | 2 |
| 12 | 2 | |
| 13 | 18 | |
| 14 | 3 | |
| 15 | 1 | |
| 16 | 69 | |
| 17 | 16 | |
| 18 | Robust Swimming Style Classification from Color Video | 4 |
| 19 | Automatic Caricature Generation by Analyzing Facial Features | 48 |
| 20 | 60 |
About Wen‐Hung Liao
Wen‐Hung Liao is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Signal Processing, having authored 57 papers that have together received 650 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (12 papers), Image Retrieval and Classification Techniques (9 papers) and Advanced Vision and Imaging (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (351 citations), Human-Computer Interaction (50 citations) and Signal Processing (90 citations). Wen‐Hung Liao has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include J.K. Aggarwal, Bikash Sabata, Q. Cai, Chien‐Ming Yang, Pei-Ying Chiang, Tsai‐Yen Li, Yu-Kai Lin, Kuo‐Hsin Tseng, Zhi‐Cheng Huang and Tang-Huang Lin. Their work appears in journals such as IEEE Access, Sensors and BMC Bioinformatics.
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.