Junkai Chen
Impact in
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- Emotion and Mood Recognition
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- Face and Expression Recognition
- Face recognition and analysis
Papers in
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- RNA modifications and cancer 3
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- Face and Expression Recognition 5
- Face recognition and analysis 4
- Co-authors
- Zheru Chi (8 shared papers)Hong Fu (7 shared papers)Zenghai Chen (2 shared papers)Fei Cai (6 shared papers)Shihong Zhang (5 shared papers)Qi Zhou (2 shared papers)Wei Fang (5 shared papers)Yuanwen Zou (1 shared paper)
In The Last Decade
Junkai Chen
31 papers receiving 542 citations
Peers
Comparison fields: 5 of 99
- Experimental and Cognitive Psychology 161
- Computer Vision and Pattern Recognition 187
- Human-Computer Interaction 31
- Mechanics of Materials 72
- Urban Studies 16
Countries citing papers authored by Junkai Chen
This map shows the geographic impact of Junkai 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 Junkai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junkai Chen more than expected).
Fields of papers citing papers by Junkai Chen
This network shows the impact of papers produced by Junkai 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 Junkai Chen. The network helps show where Junkai Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Junkai 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
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 170 | |
| 2 | 2023 | 52 | |
| 3 | 2016 | 46 | |
| 4 | 2009 | 41 | |
| 5 | 2019 | 37 | |
| 6 | 2023 | 22 | |
| 7 | 2023 | 20 | |
| 8 | 2023 | 18 | |
| 9 | 2024 | 16 | |
| 10 | 2024 | 13 | |
| 11 | 2023 | 13 | |
| 12 | 2024 | 13 | |
| 13 | 2022 | 10 | |
| 14 | 2023 | 10 | |
| 15 | 2015 | 10 | |
| 16 | 2016 | 8 | |
| 17 | 2016 | 8 | |
| 18 | 2024 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2023 | 6 |
About Junkai Chen
Junkai Chen is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Mechanics of Materials, Experimental and Cognitive Psychology and Immunology, having authored 34 papers that have together received 551 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (6 papers), Metal and Thin Film Mechanics (6 papers), Face and Expression Recognition (5 papers), Advanced Battery Materials and Technologies (4 papers), Diamond and Carbon-based Materials Research (4 papers), Face recognition and analysis (4 papers), Advancements in Battery Materials (4 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (161 citations), Computer Vision and Pattern Recognition (187 citations), Human-Computer Interaction (31 citations), Mechanics of Materials (72 citations) and Urban Studies (16 citations). Junkai Chen has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Zheru Chi, Hong Fu, Zenghai Chen, Fei Cai, Shihong Zhang, Qi Zhou, Wei Fang, Yuanwen Zou, Xiaoyan Deng and Yubo Fan. Their work appears in journals such as Academic Radiology, Journal of Translational Medicine, Tribology International, Computer Vision and Image Understanding and International Journal of Refractory Metals and Hard Materials.
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.