Jun Liu
Impact in
- Computer Vision and Pattern Recognition top 0.05%
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Context-Aware Activity Recognition Systems
- Human-Computer Interaction top 0.1%
- Hand Gesture Recognition Systems
Papers in
-
- Human Pose and Action Recognition 63
- Video Surveillance and Tracking Methods 54
- Advanced Neural Network Applications 35
- Multimodal Machine Learning Applications 30
- Advanced Image and Video Retrieval Techniques 24
-
- Anomaly Detection Techniques and Applications 40
- Domain Adaptation and Few-Shot Learning 25
- Co-authors
- Gang WangAmir ShahroudyTian-Tsong NgLing‐Yu DuanAlex C. KotMauricio PérezYan BaiQiuhong Ke
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (15 papers)IEEE Transactions on Image Processing (14 papers)IEEE Transactions on Multimedia (9 papers)Pattern Recognition (6 papers)Pattern Recognition Letters (6 papers)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Jun Liu
249 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Computer Vision and Pattern Recognition 7.0k
- Human-Computer Interaction 1.4k
- Artificial Intelligence 3.6k
- Biomedical Engineering 2.8k
- Media Technology 295
Countries citing papers authored by Jun Liu
This map shows the geographic impact of Jun Liu'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 Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Liu more than expected).
Fields of papers citing papers by Jun Liu
This network shows the impact of papers produced by Jun Liu. 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 Liu. The network helps show where Jun Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Liu, 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 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 31 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 54 | |
| 12 | 2023 | 0 | |
| 13 | 2023 | 13 | |
| 14 | 2021 | 2 | |
| 15 | 2021 | 59 | |
| 16 | 2021 | 37 | |
| 17 | 2021 | 34 | |
| 18 | 2019 | 131 | |
| 19 | [Seroepidemiological analysis of hepatitis B among children aged 1-14 in 3 counties of Guangdong province in 2013]. | 2015 | 3 |
| 20 | Digital Watermark Sharing Based on Chinese Remainder Theorem | 2002 | 1 |
About Jun Liu
Jun Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Media Technology, having authored 278 papers that have together received 9.3k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (63 papers), Video Surveillance and Tracking Methods (54 papers), Anomaly Detection Techniques and Applications (40 papers), Advanced Neural Network Applications (35 papers), Multimodal Machine Learning Applications (30 papers), Domain Adaptation and Few-Shot Learning (25 papers), Advanced Image and Video Retrieval Techniques (24 papers) and Gait Recognition and Analysis (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (7.0k citations), Human-Computer Interaction (1.4k citations), Artificial Intelligence (3.6k citations), Biomedical Engineering (2.8k citations) and Media Technology (295 citations). Jun Liu has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Gang Wang, Amir Shahroudy, Tian-Tsong Ng, Ling‐Yu Duan, Alex C. Kot, Mauricio Pérez, Yan Bai, Qiuhong Ke, Ping Hu and Hossein Rahmani. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, Pattern Recognition and Pattern Recognition Letters.
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.