Weike Jin
Impact in
- Human-Computer Interaction top 5%
- Hand Gesture Recognition Systems
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Video Analysis and Summarization
Papers in
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- Multimodal Machine Learning Applications 11
- Human Pose and Action Recognition 11
- Video Analysis and Summarization 3
- Advanced Image and Video Retrieval Techniques 1
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- Domain Adaptation and Few-Shot Learning 5
- Topic Modeling 3
- Co-authors
- Zhou Zhao (14 shared papers)Yueting Zhuang (6 shared papers)Jun Xiao (4 shared papers)Xiaofei He (3 shared papers)Jun Yu (3 shared papers)Jieming Zhu (2 shared papers)Xiuqiang He (2 shared papers)Xingshan Zeng (2 shared papers)
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (2 papers)IEEE Transactions on Image Processing (2 papers)IEEE Transactions on Multimedia (1 paper)ACM Transactions on Multimedia Computing Communications and Applications (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
In The Last Decade
Weike Jin
14 papers receiving 255 citations
Peers
Comparison fields: 5 of 36
- Human-Computer Interaction 61
- Computer Vision and Pattern Recognition 206
- Developmental and Educational Psychology 49
- Artificial Intelligence 114
- Signal Processing 23
Countries citing papers authored by Weike Jin
This map shows the geographic impact of Weike Jin'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 Weike Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weike Jin more than expected).
Fields of papers citing papers by Weike Jin
This network shows the impact of papers produced by Weike Jin. 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 Weike Jin. The network helps show where Weike Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Weike Jin, 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 | 43 | |
| 2 | 2022 | 33 | |
| 3 | 2021 | 30 | |
| 4 | 2021 | 27 | |
| 5 | 2021 | 22 | |
| 6 | 2023 | 22 | |
| 7 | 2021 | 20 | |
| 8 | 2021 | 12 | |
| 9 | 2019 | 12 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 10 | |
| 12 | 2021 | 8 | |
| 13 | 2019 | 6 | |
| 14 | 2019 | 2 |
About Weike Jin
Weike Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Developmental and Educational Psychology and Signal Processing, having authored 14 papers that have together received 259 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (11 papers), Human Pose and Action Recognition (11 papers), Domain Adaptation and Few-Shot Learning (5 papers), Hand Gesture Recognition Systems (3 papers), Video Analysis and Summarization (3 papers), Topic Modeling (3 papers), Hearing Impairment and Communication (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Human-Computer Interaction (61 citations), Computer Vision and Pattern Recognition (206 citations), Developmental and Educational Psychology (49 citations), Artificial Intelligence (114 citations) and Signal Processing (23 citations). Weike Jin has collaborated with scholars based in China and Sweden. Frequent co-authors include Zhou Zhao, Yueting Zhuang, Jun Xiao, Xiaofei He, Jun Yu, Jieming Zhu, Xiuqiang He, Xingshan Zeng, Fei Wu and Meng Zhang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, ACM Transactions on Multimedia Computing Communications and Applications and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.