Guangnan Ye
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Media Technology top 10%
- Computational Mechanics
- Co-authors
- Shih‐Fu ChangDong LiuYu–Gang JiangAlexander C. LouiDaniel P. W. EllisI‐Hong JhuoShih-Fu ChangYitong Li
- Topics
- Video Analysis and Summarization (12 papers)Advanced Image and Video Retrieval Techniques (12 papers)Multimodal Machine Learning Applications (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaMachine Vision and ApplicationsNational University of Singapore
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Guangnan Ye
24 papers receiving 843 citations
Peers
Comparison fields: 5 of 62
- Computer Vision and Pattern Recognition 788
- Artificial Intelligence 292
- Signal Processing 85
- Media Technology 42
- Computational Mechanics 33
Countries citing papers authored by Guangnan Ye
This map shows the geographic impact of Guangnan Ye'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 Guangnan Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangnan Ye more than expected).
Fields of papers citing papers by Guangnan Ye
This network shows the impact of papers produced by Guangnan Ye. 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 Guangnan Ye. The network helps show where Guangnan Ye may publish in the future.
Co-authorship network of co-authors of Guangnan Ye
This figure shows the co-authorship network connecting the top 25 collaborators of Guangnan Ye. A scholar is included among the top collaborators of Guangnan Ye 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 Guangnan Ye. Guangnan Ye 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 | 1 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 2 | |
| 9 | BBN VISER TRECVID 2014 Multimedia Event Detection and Multimedia Event Recounting Systems. | 6 |
| 10 | 45 | |
| 11 | BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems | 14 |
| 12 | 58 | |
| 13 | 46 | |
| 14 | BBNVISER : BBN VISER TRECVID 2012 Multimedia Event Detection and Multimedia Event Recounting Systems. | 13 |
| 15 | 19 | |
| 16 | 1 | |
| 17 | BBN VISER TRECVID 2011 Multimedia Event Detection System | 25 |
| 18 | 220 | |
| 19 | Columbia-UCF TRECVID2010 multimedia event detection: Combining multiple modalities, contextual concepts, and temporal matching | 71 |
| 20 | PKU@TRECVID2009: Single-Actor and Pair-Activity Event Detection in surveillance Video. | 7 |
About Guangnan Ye
Guangnan Ye is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Artificial Intelligence, having authored 26 papers that have together received 876 indexed citations. Recurring topics across this work include Video Analysis and Summarization (12 papers), Advanced Image and Video Retrieval Techniques (12 papers) and Multimodal Machine Learning Applications (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (788 citations), Artificial Intelligence (292 citations) and Signal Processing (85 citations). Guangnan Ye has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Shih‐Fu Chang, Dong Liu, Yu–Gang Jiang, Alexander C. Loui, Daniel P. W. Ellis, I‐Hong Jhuo, Shih-Fu Chang, Dong Liu, Yitong Li and Hongliang Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, Machine Vision and Applications and National University of Singapore.
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.