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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- Face and Expression Recognition 6
- Face recognition and analysis 5
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- Metal and Thin Film Mechanics 6
- Co-authors
- Zheru Chi (9 shared papers)Hong Fu (8 shared papers)Zenghai Chen (3 shared papers)Fei Cai (6 shared papers)Shihong Zhang (5 shared papers)Qi Zhou (2 shared papers)Wei Fang (5 shared papers)Yubo Fan (2 shared papers)
- Journals
- Academic Radiology (2 papers)Tribology International (2 papers)Journal of Translational Medicine (2 papers)IEEE Transactions on Affective Computing (1 paper)International Journal of Refractory Metals and Hard Materials (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Junkai Chen
37 papers receiving 607 citations
Peers
Comparison fields: 5 of 93
- Experimental and Cognitive Psychology 175
- Computer Vision and Pattern Recognition 199
- Human-Computer Interaction 32
- Mechanics of Materials 80
- 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 181 | |
| 2 | 2023 | 57 | |
| 3 | 2016 | 47 | |
| 4 | 2009 | 44 | |
| 5 | 2019 | 38 | |
| 6 | 2024 | 26 | |
| 7 | 2023 | 23 | |
| 8 | 2023 | 23 | |
| 9 | 2023 | 22 | |
| 10 | 2023 | 15 | |
| 11 | 2024 | 14 | |
| 12 | 2015 | 14 | |
| 13 | 2024 | 13 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2016 | 8 | |
| 18 | 2016 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2024 | 7 |
About Junkai Chen
Junkai Chen is a scholar working on Computer Vision and Pattern Recognition, Mechanics of Materials, Experimental and Cognitive Psychology, Materials Chemistry and Molecular Biology, having authored 38 papers that have together received 615 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (7 papers), Metal and Thin Film Mechanics (6 papers), Face and Expression Recognition (6 papers), Face recognition and analysis (5 papers), Advanced Battery Materials and Technologies (4 papers), Diamond and Carbon-based Materials Research (4 papers), Advancements in Battery Materials (4 papers) and Advanced ceramic materials synthesis (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (175 citations), Computer Vision and Pattern Recognition (199 citations), Human-Computer Interaction (32 citations), Mechanics of Materials (80 citations) and Urban Studies (16 citations). Junkai Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zheru Chi, Hong Fu, Zenghai Chen, Fei Cai, Shihong Zhang, Qi Zhou, Wei Fang, Yubo Fan, Jinchuan Li and Dechao Wang. Their work appears in journals such as Academic Radiology, Tribology International, Journal of Translational Medicine, IEEE Transactions on Affective Computing 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.