Liang Liao
- Computer Vision and Pattern Recognition top 2%
- Molecular Biology
- Organic Chemistry top 10%
- Media Technology top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Weisi LinJing XiaoJames C. PaulsonZheng WangShin’ichi SatohHaoning WuChaofeng ChenShoufa Han
- Topics
- Advanced Image Processing Techniques (19 papers)Advanced Vision and Imaging (13 papers)Video Surveillance and Tracking Methods (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaPLoS ONE
In The Last Decade
Liang Liao
62 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 621
- Molecular Biology 250
- Organic Chemistry 150
- Media Technology 147
- Radiology, Nuclear Medicine and Imaging 121
Countries citing papers authored by Liang Liao
This map shows the geographic impact of Liang Liao'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 Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Liao more than expected).
Fields of papers citing papers by Liang Liao
This network shows the impact of papers produced by Liang Liao. 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 Liao. The network helps show where Liang Liao may publish in the future.
Co-authorship network of co-authors of Liang Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Liang Liao. A scholar is included among the top collaborators of Liang Liao 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 Liang Liao. Liang Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 24 | |
| 8 | 42 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 6 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 11 | |
| 19 | 16 | |
| 20 | 65 |
About Liang Liao
Liang Liao is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Ceramics and Composites, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (19 papers), Advanced Vision and Imaging (13 papers) and Video Surveillance and Tracking Methods (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (621 citations), Media Technology (147 citations) and Computer Graphics and Computer-Aided Design (56 citations). Liang Liao has collaborated with scholars based in China, Singapore and Japan. Frequent co-authors include Weisi Lin, Jing Xiao, James C. Paulson, Zheng Wang, Shin’ichi Satoh, Haoning Wu, Chaofeng Chen, Jing Xiao, Shoufa Han and Qiong Yan. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and PLoS ONE.
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.