Chen Kong
Impact in
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- Computer Graphics and Visualization Techniques
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Vision and Imaging 6
- Optical measurement and interference techniques 3
- Human Pose and Action Recognition 2
- Multimodal Machine Learning Applications 1
- Image Enhancement Techniques 1
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- Robotics and Sensor-Based Localization 4
- Co-authors
- Simon Lucey (7 shared papers)Chen-Hsuan Lin (2 shared papers)Chaoyang Wang (1 shared paper)Raquel Urtasun (1 shared paper)Sanja Fidler (1 shared paper)Rui Zhu (1 shared paper)Hamed Kiani Galoogahi (1 shared paper)Dahua Lin (1 shared paper)
- Journals
- Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Chen Kong
9 papers receiving 378 citations
Chen Kong's Hit Papers
Peers
Comparison fields: 5 of 43
- Computer Graphics and Computer-Aided Design 130
- Geology 92
- Computer Vision and Pattern Recognition 288
- Computational Mechanics 235
- Human-Computer Interaction 16
Countries citing papers authored by Chen Kong
This map shows the geographic impact of Chen Kong'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 Chen Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Kong more than expected).
Fields of papers citing papers by Chen Kong
This network shows the impact of papers produced by Chen Kong. 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 Chen Kong. The network helps show where Chen Kong may publish in the future.
Co-authors
The 12 scholars most cited alongside Chen Kong, 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 | Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction Hit paper breakdown → | 2018 | 232 |
| 2 | 2019 | 33 | |
| 3 | 2016 | 29 | |
| 4 | 2017 | 29 | |
| 5 | 2019 | 27 | |
| 6 | 2017 | 13 | |
| 7 | 2016 | 11 | |
| 8 | 2015 | 11 | |
| 9 | 2020 | 2 |
About Chen Kong
Chen Kong is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Computer Graphics and Computer-Aided Design and Media Technology, having authored 9 papers that have together received 387 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (4 papers), Optical measurement and interference techniques (3 papers), 3D Shape Modeling and Analysis (3 papers), Human Pose and Action Recognition (2 papers), Computer Graphics and Visualization Techniques (2 papers), Multimodal Machine Learning Applications (1 paper) and Image Enhancement Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (130 citations), Geology (92 citations), Computer Vision and Pattern Recognition (288 citations), Computational Mechanics (235 citations) and Human-Computer Interaction (16 citations). Chen Kong has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Simon Lucey, Chen-Hsuan Lin, Chaoyang Wang, Raquel Urtasun, Sanja Fidler, Rui Zhu, Hamed Kiani Galoogahi, Dahua Lin, Jhony Kaesemodel Pontes and Anders Eriksson. Their work appears in journals such as Proceedings of the AAAI Conference on Artificial Intelligence and arXiv (Cornell University).
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.