Jun Gao
Impact in
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- Computer Graphics and Visualization Techniques
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- Advanced Vision and Imaging
- Generative Adversarial Networks and Image Synthesis
Papers in
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- Face and Expression Recognition 11
- Advanced Image and Video Retrieval Techniques 10
- Optical measurement and interference techniques 9
- Advanced Vision and Imaging 9
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- Neural Networks and Applications 8
- Co-authors
- Thava Vasanthan (13 shared papers)Sanja Fidler (8 shared papers)R. Hoover (3 shared papers)Huan Ling (5 shared papers)Daniel Stollery (1 shared paper)Demetrios J. Kutsogiannis (1 shared paper)R. T. Noel Gibney (1 shared paper)Chen-Hsuan Lin (1 shared paper)
- Journals
- Food Hydrocolloids (5 papers)Pattern Recognition (3 papers)Optical Engineering (2 papers)Cereal Chemistry (2 papers)Applied Optics (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Jun Gao
113 papers receiving 2.3k citations
Jun Gao's Hit Papers
Peers
Comparison fields: 5 of 160
- Computer Graphics and Computer-Aided Design 300
- Computer Vision and Pattern Recognition 921
- Nutrition and Dietetics 441
- Food Science 397
- Nephrology 140
Countries citing papers authored by Jun Gao
This map shows the geographic impact of Jun 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 Jun Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Gao more than expected).
Fields of papers citing papers by Jun Gao
This network shows the impact of papers produced by Jun 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 Jun Gao. The network helps show where Jun Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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
Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Magic3D: High-Resolution Text-to-3D Content Creation Hit paper breakdown → | 2023 | 436 |
| 2 | 2005 | 195 | |
| 3 | 2005 | 184 | |
| 4 | 2019 | 156 | |
| 5 | 2021 | 139 | |
| 6 | 2017 | 108 | |
| 7 | 2017 | 70 | |
| 8 | 2020 | 61 | |
| 9 | 2009 | 49 | |
| 10 | 2019 | 48 | |
| 11 | 2021 | 44 | |
| 12 | 2015 | 43 | |
| 13 | 2021 | 40 | |
| 14 | 2016 | 39 | |
| 15 | 2023 | 39 | |
| 16 | 2012 | 37 | |
| 17 | 2020 | 35 | |
| 18 | Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer | 2019 | 33 |
| 19 | Saliency detection with a deeper investigation of light field | 2015 | 33 |
| 20 | 2016 | 32 |
About Jun Gao
Jun Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, Computational Mechanics and Nutrition and Dietetics, having authored 125 papers that have together received 2.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Food composition and properties (10 papers), Optical measurement and interference techniques (9 papers), Proteins in Food Systems (9 papers), Advanced Vision and Imaging (9 papers), Infrared Target Detection Methodologies (8 papers) and Neural Networks and Applications (8 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (300 citations), Computer Vision and Pattern Recognition (921 citations), Nutrition and Dietetics (441 citations), Food Science (397 citations) and Nephrology (140 citations). Jun Gao has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Thava Vasanthan, Sanja Fidler, R. Hoover, Huan Ling, Daniel Stollery, Demetrios J. Kutsogiannis, R. T. Noel Gibney, Chen-Hsuan Lin, Xun Huang and Ming-Yu Liu. Their work appears in journals such as Food Hydrocolloids, Pattern Recognition, Optical Engineering, Cereal Chemistry and Applied Optics.
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.