Xiaohui Liang
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- Computer Graphics and Visualization Techniques 33
- Artificial Intelligence top 2%
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- Human Motion and Animation 9
- Information Systems top 2%
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- 3D Shape Modeling and Analysis 21
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- Advanced Vision and Imaging 20
- Human Pose and Action Recognition 16
- Advanced Image and Video Retrieval Techniques 10
- Image Retrieval and Classification Techniques 6
- Image Enhancement Techniques 6
- Cited by
- Computer Graphics and Computer-Aided DesignArtificial IntelligenceComputer Networks and Communications
- Journals
- IEEE Transactions on Visualization and Computer Graphics (5 papers)Computer Graphics Forum (3 papers)Cancer Research (2 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xiaohui Liang
128 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Computer Graphics and Computer-Aided Design 93
- Artificial Intelligence 707
- Computer Networks and Communications 460
- Control and Systems Engineering 408
- Information Systems 347
Countries citing papers authored by Xiaohui Liang
This map shows the geographic impact of Xiaohui 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 Xiaohui Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Liang more than expected).
Fields of papers citing papers by Xiaohui Liang
This network shows the impact of papers produced by Xiaohui 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 Xiaohui Liang. The network helps show where Xiaohui Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaohui Liang, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 9 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 32 | |
| 8 | 2023 | 17 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 28 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 2 | |
| 13 | 2020 | 6 | |
| 14 | 2020 | 4 | |
| 15 | 2019 | 5 | |
| 16 | Decolorization of Leather Dyeing Wastewater by Laccase of the White Rot Fungus Pycnoporus Sp. Y1 | 2015 | 1 |
| 17 | 2014 | 7 | |
| 18 | 2013 | 5 | |
| 19 | 2008 | 59 | |
| 20 | 2008 | 24 |
About Xiaohui Liang
Xiaohui Liang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 140 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (33 papers), 3D Shape Modeling and Analysis (21 papers), Advanced Vision and Imaging (20 papers), Human Pose and Action Recognition (16 papers), Advanced Image and Video Retrieval Techniques (10 papers), Human Motion and Animation (9 papers), Image Retrieval and Classification Techniques (6 papers) and Image Enhancement Techniques (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (93 citations), Artificial Intelligence (707 citations) and Computer Networks and Communications (460 citations). Xiaohui Liang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xuemin Shen, Rongxing Lu, Xu Li, Xiaodong Lin, Xiaodong Lin, Xu Li, Rongxing Lu, Frederick W. B. Li, Donghong Ji and Zhenfu Cao. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, Cancer Research, Multimedia Tools and Applications and IEEE Transactions on Parallel and Distributed Systems.
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.