I‐Hong Jhuo
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Computational Mechanics
- Media Technology top 10%
- Co-authors
- D. T. LeeShih-Fu ChangDong LiuGuangnan YeShih‐Fu ChangYu–Gang JiangYen‐Yu LinYi‐Hsuan Yang
- Topics
- Advanced Image and Video Retrieval Techniques (8 papers)Video Analysis and Summarization (6 papers)Video Surveillance and Tracking Methods (5 papers)
- Journals
- IEEE Transactions on MultimediaMachine Vision and ApplicationsJournal of International Crisis and Risk Communication Research
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
I‐Hong Jhuo
14 papers receiving 495 citations
Peers
Comparison fields: 5 of 59
- Computer Vision and Pattern Recognition 386
- Artificial Intelligence 276
- Signal Processing 55
- Computational Mechanics 44
- Media Technology 41
Countries citing papers authored by I‐Hong Jhuo
This map shows the geographic impact of I‐Hong Jhuo'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 I‐Hong Jhuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I‐Hong Jhuo more than expected).
Fields of papers citing papers by I‐Hong Jhuo
This network shows the impact of papers produced by I‐Hong Jhuo. 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 I‐Hong Jhuo. The network helps show where I‐Hong Jhuo may publish in the future.
Co-authorship network of co-authors of I‐Hong Jhuo
This figure shows the co-authorship network connecting the top 25 collaborators of I‐Hong Jhuo. A scholar is included among the top collaborators of I‐Hong Jhuo 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 I‐Hong Jhuo. I‐Hong Jhuo 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 | 0 | |
| 3 | 8 | |
| 4 | 18 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 0 | |
| 9 | 27 | |
| 10 | 19 | |
| 11 | 24 | |
| 12 | 221 | |
| 13 | 139 | |
| 14 | BBN VISER TRECVID 2011 Multimedia Event Detection System | 25 |
| 15 | 1 | |
| 16 | 10 | |
| 17 | 7 |
About I‐Hong Jhuo
I‐Hong Jhuo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 17 papers that have together received 515 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Video Analysis and Summarization (6 papers) and Video Surveillance and Tracking Methods (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (386 citations), Artificial Intelligence (276 citations) and Signal Processing (55 citations). I‐Hong Jhuo has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include D. T. Lee, Shih-Fu Chang, Dong Liu, Guangnan Ye, Dong Liu, Shih-Fu Chang, Shih‐Fu Chang, Yu–Gang Jiang, Yen‐Yu Lin and Yi‐Hsuan Yang. Their work appears in journals such as IEEE Transactions on Multimedia, Machine Vision and Applications and Journal of International Crisis and Risk Communication Research.
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.