Jun Yuan
Impact in
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- Data Visualization and Analytics
- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Explainable Artificial Intelligence (XAI)
Papers in
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- Luminescence Properties of Advanced Materials 11
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- Anomaly Detection Techniques and Applications 6
- Co-authors
- Ashraf A. Kassim (3 shared papers)Bingbing Ni (2 shared papers)Changjian Chen (2 shared papers)Jiazhi Xia (2 shared papers)Xiaokang Yang (1 shared paper)Mengchen Liu (2 shared papers)Weikai Yang (1 shared paper)Langping Tu (8 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (4 papers)IEEE Transactions on Circuits and Systems for Video Technology (2 papers)Angewandte Chemie International Edition (2 papers)Laser & Photonics Review (2 papers)CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION) (1 paper)
- Partner nations
- ChinaNetherlandsSingapore
In The Last Decade
Jun Yuan
29 papers receiving 825 citations
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 416
- Artificial Intelligence 291
- Signal Processing 61
- Materials Chemistry 193
- Radiation 35
Countries citing papers authored by Jun Yuan
This map shows the geographic impact of Jun Yuan'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 Jun Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yuan more than expected).
Fields of papers citing papers by Jun Yuan
This network shows the impact of papers produced by Jun Yuan. 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 Jun Yuan. The network helps show where Jun Yuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Yuan, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 176 | |
| 2 | 2016 | 137 | |
| 3 | 2021 | 90 | |
| 4 | 2020 | 58 | |
| 5 | 2020 | 57 | |
| 6 | 2022 | 40 | |
| 7 | 2020 | 37 | |
| 8 | 2017 | 34 | |
| 9 | 2014 | 27 | |
| 10 | 2023 | 23 | |
| 11 | 2016 | 23 | |
| 12 | 2019 | 23 | |
| 13 | 2019 | 21 | |
| 14 | 2012 | 20 | |
| 15 | 2021 | 15 | |
| 16 | 2005 | 14 | |
| 17 | 2020 | 12 | |
| 18 | ADSC Submission at THUMOS Challenge 2015 | 2015 | 8 |
| 19 | 2022 | 6 | |
| 20 | 2013 | 4 |
About Jun Yuan
Jun Yuan is a scholar working on Materials Chemistry, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Radiation, having authored 33 papers that have together received 841 indexed citations. Recurring topics across this work include Luminescence Properties of Advanced Materials (11 papers), Radiation Detection and Scintillator Technologies (6 papers), Anomaly Detection Techniques and Applications (6 papers), Data Visualization and Analytics (5 papers), Nanoplatforms for cancer theranostics (4 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Human Pose and Action Recognition (3 papers) and VLSI and FPGA Design Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (416 citations), Artificial Intelligence (291 citations), Signal Processing (61 citations), Materials Chemistry (193 citations) and Radiation (35 citations). Jun Yuan has collaborated with scholars based in China, Netherlands and Singapore. Frequent co-authors include Ashraf A. Kassim, Bingbing Ni, Changjian Chen, Jiazhi Xia, Xiaokang Yang, Mengchen Liu, Weikai Yang, Langping Tu, Hong Zhang and Qiqing Li. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Circuits and Systems for Video Technology, Angewandte Chemie International Edition, Laser & Photonics Review and CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION).
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.