Liang-Yan Gui
Impact in
-
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
-
- Computer Graphics and Visualization Techniques
Papers in
-
- Human Pose and Action Recognition 7
- Video Surveillance and Tracking Methods 5
- Advanced Neural Network Applications 4
-
- Human Motion and Animation 6
- Co-authors
- Yu-Xiong Wang (14 shared papers)José M. F. Moura (7 shared papers)Xiaodan Liang (2 shared papers)Sergey Tulyakov (1 shared paper)Hsin-Ying Lee (1 shared paper)Alexander G. Schwing (2 shared papers)Deva Ramanan (1 shared paper)Shengcao Cao (1 shared paper)
- Journals
- NeuroImage (1 paper)IEEE Control Systems (1 paper)Lecture notes in computer science (3 papers)Open MIND (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Liang-Yan Gui
21 papers receiving 782 citations
Liang-Yan Gui's Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 568
- Computer Graphics and Computer-Aided Design 83
- Control and Systems Engineering 227
- Computational Mathematics 5
- Artificial Intelligence 224
Countries citing papers authored by Liang-Yan Gui
This map shows the geographic impact of Liang-Yan Gui'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 Liang-Yan Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang-Yan Gui more than expected).
Fields of papers citing papers by Liang-Yan Gui
This network shows the impact of papers produced by Liang-Yan Gui. 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 Liang-Yan Gui. The network helps show where Liang-Yan Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Liang-Yan Gui, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 183 | |
| 2 | SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation Hit paper breakdown → | 2023 | 126 |
| 3 | 2018 | 84 | |
| 4 | 2018 | 81 | |
| 5 | 2023 | 71 | |
| 6 | 2024 | 51 | |
| 7 | 2023 | 49 | |
| 8 | 2023 | 40 | |
| 9 | 2022 | 27 | |
| 10 | 2017 | 25 | |
| 11 | 2015 | 22 | |
| 12 | 2012 | 12 | |
| 13 | 2016 | 9 | |
| 14 | 2018 | 7 | |
| 15 | 2023 | 4 | |
| 16 | 2024 | 4 | |
| 17 | 2025 | 3 | |
| 18 | 2025 | 1 | |
| 19 | 2011 | 1 | |
| 20 | 2024 | 1 |
About Liang-Yan Gui
Liang-Yan Gui is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Computational Mechanics and Electrical and Electronic Engineering, having authored 26 papers that have together received 802 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Human Motion and Animation (6 papers), Video Surveillance and Tracking Methods (5 papers), Advanced Neural Network Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Wireless Communication Security Techniques (2 papers), Cooperative Communication and Network Coding (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (568 citations), Computer Graphics and Computer-Aided Design (83 citations), Control and Systems Engineering (227 citations), Computational Mathematics (5 citations) and Artificial Intelligence (224 citations). Liang-Yan Gui has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Yu-Xiong Wang, José M. F. Moura, Xiaodan Liang, Sergey Tulyakov, Hsin-Ying Lee, Alexander G. Schwing, Deva Ramanan, Shengcao Cao, Dhiraj Joshi and Manuela Veloso. Their work appears in journals such as NeuroImage, IEEE Control Systems, Lecture notes in computer science, Open MIND 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.