Junsong Yuan
- Human-Computer Interaction top 0.02%
- Hand Gesture Recognition Systems 43
- Computer Vision and Pattern Recognition top 0.02%
- Advanced Image and Video Retrieval Techniques 129
- Human Pose and Action Recognition 111
- Video Surveillance and Tracking Methods 61
- Image Retrieval and Classification Techniques 55
- Video Analysis and Summarization 52
- Advanced Neural Network Applications 36
- Artificial Intelligence top 0.1%
- Anomaly Detection Techniques and Applications 41
- Signal Processing top 0.5%
- Media Technology top 0.5%
- Journals
- Cell (1 paper)SHILAP Revista de lepidopterología (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Junsong Yuan
350 papers receiving 14.1k citations
Hit Papers
Peers
Comparison fields: 5 of 173
- Human-Computer Interaction 3.3k
- Computer Vision and Pattern Recognition 11.7k
- Artificial Intelligence 4.4k
- Signal Processing 776
- Media Technology 594
Countries citing papers authored by Junsong Yuan
This map shows the geographic impact of Junsong 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 Junsong Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junsong Yuan more than expected).
Fields of papers citing papers by Junsong Yuan
This network shows the impact of papers produced by Junsong 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 Junsong Yuan. The network helps show where Junsong Yuan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junsong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 23 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 26 | |
| 7 | 2020 | 40 | |
| 8 | 2020 | 10 | |
| 9 | 2020 | 34 | |
| 10 | 2019 | 74 | |
| 11 | 2019 | 135 | |
| 12 | Learning Saliency Maps for Adversarial Point-Cloud Generation | 2018 | 5 |
| 13 | 2018 | 41 | |
| 14 | 2017 | 66 | |
| 15 | 2017 | 10 | |
| 16 | 2016 | 39 | |
| 17 | 2016 | 36 | |
| 18 | Spatial Locality-Aware Sparse Coding and Dictionary Learning | 2012 | 6 |
| 19 | Fusion of Velodyne and camera data for scene parsing | 2012 | 11 |
| 20 | Max-Margin Structured Output Regression for Spatio-Temporal Action Localization | 2012 | 36 |
About Junsong Yuan
Junsong Yuan is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 359 papers that have together received 14.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (129 papers), Human Pose and Action Recognition (111 papers), Video Surveillance and Tracking Methods (61 papers), Image Retrieval and Classification Techniques (55 papers), Video Analysis and Summarization (52 papers), Hand Gesture Recognition Systems (43 papers), Anomaly Detection Techniques and Applications (41 papers) and Advanced Neural Network Applications (36 papers). The work is most often cited by research in Human-Computer Interaction (3.3k citations), Computer Vision and Pattern Recognition (11.7k citations) and Artificial Intelligence (4.4k citations). Junsong Yuan has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Ying Wu, Zicheng Liu, Zhou Ren, Yang Cong, Jingjing Meng, Jiang Wang, Zhengyou Zhang, Ji Liu, Liuhao Ge and Zhigang Tu. Their work appears in journals such as Cell, SHILAP Revista de lepidopterología and Nature Biotechnology.
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.