Chen Kong

831 citations
9 papers · 379 indexed · 1 hit paper · h-index 8
Topics
Advanced Vision and Imaging (6 papers)Robotics and Sensor-Based Localization (4 papers)3D Shape Modeling and Analysis (3 papers)
Journals
arXiv (Cornell University)Proceedings of the AAAI Conference on Artificial Intelligence

In The Last Decade

Chen Kong

9 papers receiving 369 citations

Hit Papers

Learning Efficient Point Cloud Generation for Dense 3D Ob...2018202620202023201850100150200

Peers

Chen Kong
Comparison fields: 5 of 42
  • Computer Vision and Pattern Recognition 285
  • Computational Mechanics 231
  • Computer Graphics and Computer-Aided Design 131
  • Geology 91
  • Aerospace Engineering 71
Replace Patrick Degener with:
Patrick Degener Germany
Raphaëlle Chaine France
Tristan Laidlow United Kingdom
Jiapeng Tang China
Xinhan Di China
JunYoung Gwak United States
Lingni Ma Netherlands
Jonathan T. Barron United Kingdom
Ruixuan Yu China
Songfang Han United States
Chen Kong relative to Patrick Degener Germany Patrick Degener's profile →
Citations per field
00.5×11.6×
Patrick Degener · 1×
Citations per year

Countries citing papers authored by Chen Kong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chen Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Chen Kong. A scholar is included among the top collaborators of Chen Kong 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 Chen Kong. Chen Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Chen Kong

Chen Kong is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 9 papers that have together received 379 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (4 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (131 citations), Geology (91 citations) and Computer Vision and Pattern Recognition (285 citations). Chen Kong has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Simon Lucey, Chen-Hsuan Lin, Chaoyang Wang, Sanja Fidler, Dahua Lin, Raquel Urtasun, Rui Zhu, Hamed Kiani Galoogahi, Jhony Kaesemodel Pontes and Clinton Fookes. Their work appears in journals such as arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

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.

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