Win-Bin Huang
Impact in
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- Advanced Steganography and Watermarking Techniques
- Digital Media Forensic Detection
- Chaos-based Image/Signal Encryption
- Advanced Image and Video Retrieval Techniques
- Advanced Data Compression Techniques
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- scientometrics and bibliometrics research
Papers in
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- scientometrics and bibliometrics research 6
- Co-authors
- Yi BuYau-Hwang KuoBinglu WangMong‐Fong HorngYong HuangZaida Chinchilla‐RodríguezCassidy R. SugimotoJiaqi Gao
- Journals
- Information Processing & Management (3 papers)Scientometrics (2 papers)Journal of Informetrics (2 papers)IEEE Transactions on Image Processing (1 paper)Humanities and Social Sciences Communications (1 paper)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Win-Bin Huang
26 papers receiving 298 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 166
- Statistics, Probability and Uncertainty 55
- Media Technology 23
- Computer Science Applications 13
- Statistical and Nonlinear Physics 29
Countries citing papers authored by Win-Bin Huang
This map shows the geographic impact of Win-Bin 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 Win-Bin Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Win-Bin Huang more than expected).
Fields of papers citing papers by Win-Bin Huang
This network shows the impact of papers produced by Win-Bin 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 Win-Bin Huang. The network helps show where Win-Bin Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Win-Bin Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 9 | |
| 5 | 2023 | 1 | |
| 6 | 2020 | 14 | |
| 7 | Business Taxonomy Construction Using Concept-Level Hierarchical Clustering | 2019 | 1 |
| 8 | 2018 | 1 | |
| 9 | 2018 | 19 | |
| 10 | Deep Dynamic Poisson Factorization Model | 2017 | 4 |
| 11 | MFTACA: An Author Co-citation Analysis Method Combined with Metadata in Full Text. | 2017 | 4 |
| 12 | 2016 | 11 | |
| 13 | 2015 | 1 | |
| 14 | 2013 | 3 | |
| 15 | 2012 | 1 | |
| 16 | 2010 | 67 | |
| 17 | 2010 | 1 | |
| 18 | 2006 | 10 | |
| 19 | 2005 | 3 | |
| 20 | 2004 | 2 |
About Win-Bin Huang
Win-Bin Huang is a scholar working on Statistics, Probability and Uncertainty, Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computer Science Applications and Artificial Intelligence, having authored 32 papers that have together received 329 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (6 papers), Advanced Steganography and Watermarking Techniques (5 papers), Complex Network Analysis Techniques (4 papers), Advanced Text Analysis Techniques (4 papers), Topic Modeling (3 papers), Stock Market Forecasting Methods (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Expert finding and Q&A systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (166 citations), Statistics, Probability and Uncertainty (55 citations), Media Technology (23 citations), Computer Science Applications (13 citations) and Statistical and Nonlinear Physics (29 citations). Win-Bin Huang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yi Bu, Yau-Hwang Kuo, Binglu Wang, Mong‐Fong Horng, Yong Huang, Zaida Chinchilla‐Rodríguez, Cassidy R. Sugimoto, Jiaqi Gao, Junting Liu and Pengyi Zhang. Their work appears in journals such as Information Processing & Management, Scientometrics, Journal of Informetrics, IEEE Transactions on Image Processing and Humanities and Social Sciences 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.