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 0.05%
- Hand Gesture Recognition Systems
Papers in
-
- Human Pose and Action Recognition 90
- Video Surveillance and Tracking Methods 63
- Multimodal Machine Learning Applications 42
- Advanced Neural Network Applications 41
- Advanced Image and Video Retrieval Techniques 29
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- Anomaly Detection Techniques and Applications 51
- Domain Adaptation and Few-Shot Learning 30
- Co-authors
- Gang Wang (9 shared papers)Amir Shahroudy (7 shared papers)Tian-Tsong Ng (1 shared paper)Alex Chichung Kot (18 shared papers)Ling‐Yu Duan (19 shared papers)Dong Xu (2 shared papers)Mauricio Pérez (5 shared papers)Qiuhong Ke (21 shared papers)
- Journals
- IEEE Transactions on Image Processing (15 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (15 papers)IEEE Transactions on Multimedia (11 papers)IEEE Transactions on Circuits and Systems for Video Technology (7 papers)Pattern Recognition Letters (6 papers)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Jun Liu
299 papers receiving 13.3k citations
Jun Liu's Hit Papers
Peers
Comparison fields: 5 of 185
- Computer Vision and Pattern Recognition 10.3k
- Human-Computer Interaction 2.1k
- Artificial Intelligence 5.2k
- Biomedical Engineering 4.1k
- Health Informatics 59
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
Showing the 20 most-cited of 332 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis Hit paper breakdown → | 2016 | 2264 |
| 2 | NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding Hit paper breakdown → | 2019 | 1283 |
| 3 | Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition Hit paper breakdown → | 2016 | 1070 |
| 4 | Global Context-Aware Attention LSTM Networks for 3D Action Recognition Hit paper breakdown → | 2017 | 546 |
| 5 | Skeleton-Based Human Action Recognition with Global Context-Aware Attention LSTM Networks Hit paper breakdown → | 2018 | 452 |
| 6 | Human Action Recognition From Various Data Modalities: A Review Hit paper breakdown → | 2022 | 444 |
| 7 | Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates Hit paper breakdown → | 2017 | 409 |
| 8 | Exploiting Spatial-Temporal Relationships for 3D Pose Estimation via Graph Convolutional Networks Hit paper breakdown → | 2019 | 396 |
| 9 | 2020 | 322 | |
| 10 | 2019 | 248 | |
| 11 | 2021 | 203 | |
| 12 | 2017 | 162 | |
| 13 | 2009 | 150 | |
| 14 | 2019 | 141 | |
| 15 | 2019 | 135 | |
| 16 | 2019 | 123 | |
| 17 | 2021 | 122 | |
| 18 | 2021 | 117 | |
| 19 | 2020 | 116 | |
| 20 | DiffPose: Toward More Reliable 3D Pose Estimation Hit paper breakdown → | 2023 | 113 |
About Jun Liu
Jun Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Biomedical Engineering and Signal Processing, having authored 332 papers that have together received 13.6k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (90 papers), Video Surveillance and Tracking Methods (63 papers), Anomaly Detection Techniques and Applications (51 papers), Multimodal Machine Learning Applications (42 papers), Advanced Neural Network Applications (41 papers), Domain Adaptation and Few-Shot Learning (30 papers), Gait Recognition and Analysis (29 papers) and Advanced Image and Video Retrieval Techniques (29 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (10.3k citations), Human-Computer Interaction (2.1k citations), Artificial Intelligence (5.2k citations), Biomedical Engineering (4.1k citations) and Health Informatics (59 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, Alex Chichung Kot, Ling‐Yu Duan, Dong Xu, Mauricio Pérez, Qiuhong Ke, Hossein Rahmani and Yan Bai. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology 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.