Junbao Li
Impact in
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- Advanced Neural Network Applications
- Face and Expression Recognition
- Visual Attention and Saliency Detection
- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Media Technology top 5%
- Remote-Sensing Image Classification
Papers in
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- Face and Expression Recognition 13
- Advanced Neural Network Applications 11
- Video Surveillance and Tracking Methods 10
- Advanced Image and Video Retrieval Techniques 10
- Advanced Image Processing Techniques 8
- Image Retrieval and Classification Techniques 7
- Co-authors
- Jeng‐Shyang Pan (27 shared papers)Shu‐Chuan Chu (15 shared papers)Ping Fu (9 shared papers)Xiyuan Peng (6 shared papers)Lujia Han (3 shared papers)Haiyan Zhang (2 shared papers)Mingzhu Xu (5 shared papers)Qinghua Luo (4 shared papers)
In The Last Decade
Junbao Li
82 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 107
- Computer Vision and Pattern Recognition 471
- Media Technology 129
- Artificial Intelligence 194
- Aerospace Engineering 127
- Signal Processing 46
Countries citing papers authored by Junbao Li
This map shows the geographic impact of Junbao Li'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 Junbao Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junbao Li more than expected).
Fields of papers citing papers by Junbao Li
This network shows the impact of papers produced by Junbao Li. 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 Junbao Li. The network helps show where Junbao Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Junbao Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 75 | |
| 2 | 2019 | 74 | |
| 3 | 2016 | 71 | |
| 4 | 2013 | 60 | |
| 5 | 2016 | 54 | |
| 6 | 2021 | 53 | |
| 7 | 2018 | 51 | |
| 8 | 2012 | 49 | |
| 9 | 2019 | 35 | |
| 10 | 2014 | 33 | |
| 11 | 2019 | 32 | |
| 12 | 2016 | 31 | |
| 13 | 2021 | 31 | |
| 14 | 2023 | 26 | |
| 15 | 2021 | 23 | |
| 16 | 2021 | 22 | |
| 17 | 2021 | 17 | |
| 18 | 2014 | 15 | |
| 19 | 2013 | 14 | |
| 20 | 2013 | 13 |
About Junbao Li
Junbao Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Aerospace Engineering and Electrical and Electronic Engineering, having authored 90 papers that have together received 1.1k indexed citations. Recurring topics across this work include Face and Expression Recognition (13 papers), Advanced Neural Network Applications (11 papers), Video Surveillance and Tracking Methods (10 papers), Advanced Image and Video Retrieval Techniques (10 papers), Advanced Image Processing Techniques (8 papers), Image Retrieval and Classification Techniques (7 papers), Advanced Algorithms and Applications (6 papers) and Robotics and Sensor-Based Localization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (471 citations), Media Technology (129 citations), Artificial Intelligence (194 citations), Aerospace Engineering (127 citations) and Signal Processing (46 citations). Junbao Li has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Jeng‐Shyang Pan, Shu‐Chuan Chu, Ping Fu, Xiyuan Peng, Lujia Han, Haiyan Zhang, Mingzhu Xu, Qinghua Luo, Peng Yu and Minsheng Lu. Their work appears in journals such as Electronics, Neurocomputing, Measurement, Knowledge-Based Systems and Neural Computing and Applications.
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.