Jun Huang
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 2%
- Electrical and Electronic Engineering top 10%
- Cognitive Neuroscience top 5%
- Artificial Intelligence top 5%
- Co-authors
- Guoliang XingGang ZhouLucian IlieA. RajBenjamin BalasRuth RosenholtzRuogu ZhouXiaoyuan Ma
- Topics
- Advanced Image and Video Retrieval Techniques (15 papers)Topic Modeling (12 papers)Facility Location and Emergency Management (12 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Jun Huang
102 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 137
- Computer Networks and Communications 484
- Computer Vision and Pattern Recognition 408
- Electrical and Electronic Engineering 348
- Cognitive Neuroscience 293
- Artificial Intelligence 268
Countries citing papers authored by Jun Huang
This map shows the geographic impact of Jun 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 Jun Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Huang more than expected).
Fields of papers citing papers by Jun Huang
This network shows the impact of papers produced by Jun 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 Jun Huang. The network helps show where Jun Huang may publish in the future.
Co-authorship network of co-authors of Jun Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Huang. A scholar is included among the top collaborators of Jun Huang 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 Jun Huang. Jun Huang 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 | 81 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | Boosting classifiers for scene category recognition | 3 |
| 14 | 9 | |
| 15 | 19 | |
| 16 | Shanghai Jiao Tong University participation in high-level feature extraction and surveillance event detection at TRECVID 2009 | 3 |
| 17 | 1 | |
| 18 | Shanghai Jiao Tong University participation in high-level feature extraction, automatic search and surveillance event detectionat TRECVID 2008. | 1 |
| 19 | 37 | |
| 20 | 3 |
About Jun Huang
Jun Huang is a scholar working on Computer Vision and Pattern Recognition, Organizational Behavior and Human Resource Management and Sensory Systems, having authored 113 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (15 papers), Topic Modeling (12 papers) and Facility Location and Emergency Management (12 papers). The work is most often cited by research in Sensory Systems (108 citations), Computer Networks and Communications (484 citations) and Computer Vision and Pattern Recognition (408 citations). Jun Huang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guoliang Xing, Gang Zhou, Lucian Ilie, A. Raj, Benjamin Balas, Ruth Rosenholtz, Ruogu Zhou, Xiaoyuan Ma, Jianming Wei and Jiayu Chen. Their work appears in journals such as IEEE Access, ACM Computing Surveys and Molecular Therapy.
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.