Kean Chen
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Visual Attention and Saliency Detection
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
Papers in
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- Quantum Information and Cryptography 3
- Quantum Computing Algorithms and Architecture 3
- Geochemistry and Geologic Mapping 2
- Domain Adaptation and Few-Shot Learning 2
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- Video Surveillance and Tracking Methods 3
- Advanced Neural Network Applications 2
- Multimodal Machine Learning Applications 1
- Co-authors
- Weiyao Lin (4 shared papers)John See (3 shared papers)Junni Zou (2 shared papers)Jianguo Li (2 shared papers)Ji Wang (1 shared paper)Zhibo Chen (1 shared paper)Mingsheng Ying (3 shared papers)Zenghui Zhang (1 shared paper)
In The Last Decade
Kean Chen
7 papers receiving 228 citations
Peers
Comparison fields: 5 of 57
- Computer Vision and Pattern Recognition 151
- Artificial Intelligence 96
- Media Technology 16
- Industrial and Manufacturing Engineering 12
- Safety, Risk, Reliability and Quality 9
Countries citing papers authored by Kean Chen
This map shows the geographic impact of Kean Chen'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 Kean Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kean Chen more than expected).
Fields of papers citing papers by Kean Chen
This network shows the impact of papers produced by Kean Chen. 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 Kean Chen. The network helps show where Kean Chen may publish in the future.
Co-authors
The 17 scholars most cited alongside Kean Chen, 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 | 86 | |
| 2 | 2020 | 59 | |
| 3 | 2020 | 35 | |
| 4 | 2022 | 27 | |
| 5 | 2021 | 15 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 5 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 |
About Kean Chen
Kean Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Geophysics, Atomic and Molecular Physics, and Optics and Geochemistry and Petrology, having authored 9 papers that have together received 234 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (3 papers), Quantum Computing Algorithms and Architecture (3 papers), Video Surveillance and Tracking Methods (3 papers), Geological and Geochemical Analysis (2 papers), Geochemistry and Geologic Mapping (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (151 citations), Artificial Intelligence (96 citations), Media Technology (16 citations), Industrial and Manufacturing Engineering (12 citations) and Safety, Risk, Reliability and Quality (9 citations). Kean Chen has collaborated with scholars based in China, Malaysia and Australia. Frequent co-authors include Weiyao Lin, John See, Junni Zou, Jianguo Li, Ji Wang, Ji Wang, Zhibo Chen, Mingsheng Ying, Zenghui Zhang and Wang Fang. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Neural Networks and Learning Systems, Ore Geology Reviews, Economic Geology and ACM Transactions on Design Automation of Electronic Systems.
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.