Qigang Gao
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications 12
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- Advanced Image and Video Retrieval Techniques 16
- Image Retrieval and Classification Techniques 14
- Human Pose and Action Recognition 7
- Image and Object Detection Techniques 6
- Image Processing and 3D Reconstruction 6
- Face and Expression Recognition 5
- Human-Computer Interaction top 10%
- Information Systems top 10%
- Web Data Mining and Analysis 5
- Signal Processing top 10%
Qigang Gao
48 papers receiving 424 citations
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 266
- Computer Vision and Pattern Recognition 151
- Human-Computer Interaction 30
- Information Systems 95
- Signal Processing 45
Countries citing papers authored by Qigang Gao
This map shows the geographic impact of Qigang Gao'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 Qigang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qigang Gao more than expected).
Fields of papers citing papers by Qigang Gao
This network shows the impact of papers produced by Qigang Gao. 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 Qigang Gao. The network helps show where Qigang Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qigang Gao, 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 | 2019 | 2 | |
| 2 | 2018 | 0 | |
| 3 | 2017 | 5 | |
| 4 | 2016 | 3 | |
| 5 | 2016 | 8 | |
| 6 | 2015 | 109 | |
| 7 | 2015 | 2 | |
| 8 | 2014 | 4 | |
| 9 | 2013 | 4 | |
| 10 | 2013 | 29 | |
| 11 | 2011 | 3 | |
| 12 | A web-based interactive data visualization system for outlier subspace analysis | 2010 | 4 |
| 13 | 2008 | 0 | |
| 14 | 2006 | 12 | |
| 15 | 2006 | 0 | |
| 16 | 2006 | 3 | |
| 17 | 2002 | 0 | |
| 18 | 2002 | 5 | |
| 19 | Visual knowledge representation by generic models | 1995 | 0 |
| 20 | 1993 | 26 |
About Qigang Gao
Qigang Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Signal Processing and Information Systems, having authored 53 papers that have together received 459 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (16 papers), Image Retrieval and Classification Techniques (14 papers), Anomaly Detection Techniques and Applications (12 papers), Human Pose and Action Recognition (7 papers), Image and Object Detection Techniques (6 papers), Image Processing and 3D Reconstruction (6 papers), Face and Expression Recognition (5 papers) and Web Data Mining and Analysis (5 papers). The work is most often cited by research in Artificial Intelligence (266 citations), Computer Vision and Pattern Recognition (151 citations), Human-Computer Interaction (30 citations), Information Systems (95 citations) and Signal Processing (45 citations). Qigang Gao has collaborated with scholars based in Canada, Spain and Australia. Frequent co-authors include Yun Wan, Mohammad Ali Bagheri, Hai Wang, Sérgio Escalera, Gang Hu, Andrew K. C. Wong, Ji Zhang, Chris Jordan, Carolyn Watters and Hongzhou Li. Their work appears in journals such as Computer Vision and Image Understanding, Pattern Recognition, Pattern Analysis and Applications, Information Sciences and Soft Computing.
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.