Hsin-Yu Ha
Impact in
-
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Text and Document Classification Technologies
Papers in
-
- Advanced Image and Video Retrieval Techniques 9
- Video Analysis and Summarization 8
- Image Retrieval and Classification Techniques 7
-
- Text and Document Classification Technologies 4
- Imbalanced Data Classification Techniques 2
- Topic Modeling 2
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Shu‐Ching Chen (17 shared papers)Yimin Yang (2 shared papers)Chunqiu Zeng (1 shared paper)Yue Huang (1 shared paper)Tao Li (1 shared paper)S. S. Iyengar (1 shared paper)Ning Xie (1 shared paper)Wei Xue (1 shared paper)
- Journals
- IEEE Multimedia (1 paper)ACM Computing Surveys (1 paper)RePEc: Research Papers in Economics (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Hsin-Yu Ha
17 papers receiving 341 citations
Hsin-Yu Ha's Hit Papers
Peers
Comparison fields: 5 of 93
- Computer Vision and Pattern Recognition 115
- Artificial Intelligence 141
- Communication 23
- Signal Processing 31
- Transportation 16
Countries citing papers authored by Hsin-Yu Ha
This map shows the geographic impact of Hsin-Yu Ha'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 Hsin-Yu Ha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin-Yu Ha more than expected).
Fields of papers citing papers by Hsin-Yu Ha
This network shows the impact of papers produced by Hsin-Yu Ha. 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 Hsin-Yu Ha. The network helps show where Hsin-Yu Ha may publish in the future.
Co-authors
The 25 scholars most cited alongside Hsin-Yu Ha, 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 | Data-Driven Techniques in Disaster Information Management Hit paper breakdown → | 2017 | 250 |
| 2 | 2011 | 26 | |
| 3 | 2013 | 14 | |
| 4 | 2015 | 10 | |
| 5 | 2011 | 9 | |
| 6 | 2013 | 7 | |
| 7 | 2013 | 6 | |
| 8 | 2015 | 6 | |
| 9 | 2014 | 4 | |
| 10 | 2016 | 3 | |
| 11 | 2013 | 3 | |
| 12 | 2015 | 3 | |
| 13 | 2014 | 2 | |
| 14 | 2015 | 2 | |
| 15 | Florida International University and University of Miami TRECVID 2012 | 2012 | 1 |
| 16 | Florida International University and University of Miami TRECVID 2011 | 2011 | 1 |
| 17 | 2012 | 1 |
About Hsin-Yu Ha
Hsin-Yu Ha is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Computer Networks and Communications and Media Technology, having authored 17 papers that have together received 348 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (9 papers), Video Analysis and Summarization (8 papers), Image Retrieval and Classification Techniques (7 papers), Text and Document Classification Technologies (4 papers), Imbalanced Data Classification Techniques (2 papers), Topic Modeling (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (115 citations), Artificial Intelligence (141 citations), Communication (23 citations), Signal Processing (31 citations) and Transportation (16 citations). Hsin-Yu Ha has collaborated with scholars based in United States and China. Frequent co-authors include Shu‐Ching Chen, Yimin Yang, Chunqiu Zeng, Yue Huang, Tao Li, S. S. Iyengar, Ning Xie, Wei Xue, Yexi Jiang and Zheng Li. Their work appears in journals such as IEEE Multimedia, ACM Computing Surveys and RePEc: Research Papers in Economics.
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.