Hui Liang
- Computer Vision and Pattern Recognition top 1%
- Human-Computer Interaction top 0.5%
- Control and Systems Engineering top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Co-authors
- Junsong YuanDaniël ThalmannLiuhao GeYunyun YangBoying WuZhiwei ZhuJianjun ZhangJian Chang
- Topics
- Hand Gesture Recognition Systems (15 papers)Human Pose and Action Recognition (12 papers)Robot Manipulation and Learning (8 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- BloodIEEE Transactions on Pattern Analysis and Machine IntelligenceACS Applied Materials & Interfaces
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Hui Liang
55 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 132
- Computer Vision and Pattern Recognition 681
- Human-Computer Interaction 586
- Control and Systems Engineering 330
- Biomedical Engineering 122
- Artificial Intelligence 100
Countries citing papers authored by Hui Liang
This map shows the geographic impact of Hui Liang'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 Hui Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Liang more than expected).
Fields of papers citing papers by Hui Liang
This network shows the impact of papers produced by Hui Liang. 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 Hui Liang. The network helps show where Hui Liang may publish in the future.
Co-authorship network of co-authors of Hui Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Hui Liang. A scholar is included among the top collaborators of Hui Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hui Liang. Hui Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 32 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 9 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 60 | |
| 10 | 8 | |
| 11 | 68 | |
| 12 | 1 | |
| 13 | 7 | |
| 14 | 9 | |
| 15 | Advanced ODE Based Head Modelling for Chinese Marionette Art Preservation | 1 |
| 16 | 1 | |
| 17 | 56 | |
| 18 | 4 | |
| 19 | 6 | |
| 20 | 2 |
About Hui Liang
Hui Liang is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Software, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (15 papers), Human Pose and Action Recognition (12 papers) and Robot Manipulation and Learning (8 papers). The work is most often cited by research in Human-Computer Interaction (586 citations), Computer Vision and Pattern Recognition (681 citations) and Control and Systems Engineering (330 citations). Hui Liang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Junsong Yuan, Daniël Thalmann, Liuhao Ge, Yunyun Yang, Boying Wu, Zhiwei Zhu, Jianjun Zhang, Jian Chang, Da‐Wen Sun and Zhengyou Zhang. Their work appears in journals such as Blood, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACS Applied Materials & Interfaces.
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.