Liangke Gui
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Face and Expression Recognition
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Face recognition and analysis 4
- Multimodal Machine Learning Applications 4
- Human Pose and Action Recognition 3
- Face and Expression Recognition 3
- Advanced Image and Video Retrieval Techniques 3
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- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Alexander G. Hauptmann (5 shared papers)Yu-Xiong Wang (6 shared papers)Louis‐Philippe Morency (4 shared papers)Yonatan Bisk (2 shared papers)Borui Wang (1 shared paper)Jianfeng Gao (1 shared paper)Qiuyuan Huang (1 shared paper)Tadas Baltrušaitis (2 shared papers)
- Journals
- Neurocomputing (2 papers)Multimedia Tools and Applications (1 paper)Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (1 paper)Electronic Imaging (1 paper)Monash University Research Portal (Monash University) (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Liangke Gui
15 papers receiving 260 citations
Peers
Comparison fields: 5 of 46
- Computer Vision and Pattern Recognition 214
- Artificial Intelligence 130
- Media Technology 25
- Signal Processing 20
- Experimental and Cognitive Psychology 23
Countries citing papers authored by Liangke Gui
This map shows the geographic impact of Liangke 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 Liangke Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liangke Gui more than expected).
Fields of papers citing papers by Liangke Gui
This network shows the impact of papers produced by Liangke 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 Liangke Gui. The network helps show where Liangke Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Liangke 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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 68 | |
| 2 | 2016 | 45 | |
| 3 | 2020 | 30 | |
| 4 | 2017 | 27 | |
| 5 | 2014 | 26 | |
| 6 | 2017 | 22 | |
| 7 | 2017 | 11 | |
| 8 | 2015 | 10 | |
| 9 | Adaptive context-aware reinforced agent for handwritten text recognition | 2018 | 8 |
| 10 | MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video. | 2019 | 8 |
| 11 | 2018 | 7 | |
| 12 | 2021 | 3 | |
| 13 | 2017 | 2 | |
| 14 | 2016 | 2 | |
| 15 | 2025 | 2 |
About Liangke Gui
Liangke Gui is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Experimental and Cognitive Psychology and Urban Studies, having authored 15 papers that have together received 271 indexed citations. Recurring topics across this work include Face recognition and analysis (4 papers), Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Human Pose and Action Recognition (3 papers), Face and Expression Recognition (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Sparse and Compressive Sensing Techniques (2 papers) and Emotion and Mood Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (214 citations), Artificial Intelligence (130 citations), Media Technology (25 citations), Signal Processing (20 citations) and Experimental and Cognitive Psychology (23 citations). Liangke Gui has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Alexander G. Hauptmann, Yu-Xiong Wang, Louis‐Philippe Morency, Yonatan Bisk, Borui Wang, Jianfeng Gao, Qiuyuan Huang, Tadas Baltrušaitis, Xue Li and Baodi Liu. Their work appears in journals such as Neurocomputing, Multimedia Tools and Applications, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Electronic Imaging and Monash University Research Portal (Monash University).
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.