Xiaohui Liang
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Control and Systems Engineering top 2%
- Electrical and Electronic Engineering top 10%
- Information Systems top 2%
- Topics
- Computer Graphics and Visualization Techniques (33 papers)3D Shape Modeling and Analysis (21 papers)Advanced Vision and Imaging (20 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignArtificial IntelligenceComputer Networks and Communications
- 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
- Artificial Intelligence 707
- Computer Networks and Communications 460
- Control and Systems Engineering 408
- Electrical and Electronic Engineering 365
- 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 of co-authors of Xiaohui Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohui Liang. A scholar is included among the top collaborators of Xiaohui 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 Xiaohui Liang. Xiaohui 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 | 2 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 32 | |
| 8 | 17 | |
| 9 | 2 | |
| 10 | 28 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 5 | |
| 16 | Decolorization of Leather Dyeing Wastewater by Laccase of the White Rot Fungus Pycnoporus Sp. Y1 | 1 |
| 17 | 7 | |
| 18 | 5 | |
| 19 | 59 | |
| 20 | 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) and Advanced Vision and Imaging (20 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 PLoS ONE, Cancer Research and Chemical Engineering Journal.
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.