Liao Wang
- Computer Vision and Pattern Recognition top 10%
- Computer Graphics and Computer-Aided Design top 2%
- Computational Mechanics top 10%
- Civil and Structural Engineering
- Building and Construction
- Co-authors
- Fuqiang ZhaoLan XuYingliang ZhangJingyi YuYanshun ZhangXinhang LiuDavid D. YaoXiang Wang
- Topics
- Magnetic confinement fusion research (5 papers)Supply Chain and Inventory Management (5 papers)Stochastic processes and financial applications (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionBuilding and Construction
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Liao Wang
21 papers receiving 307 citations
Peers
Comparison fields: 5 of 66
- Computer Vision and Pattern Recognition 117
- Computer Graphics and Computer-Aided Design 93
- Computational Mechanics 67
- Civil and Structural Engineering 61
- Building and Construction 44
Countries citing papers authored by Liao Wang
This map shows the geographic impact of Liao Wang'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 Liao Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liao Wang more than expected).
Fields of papers citing papers by Liao Wang
This network shows the impact of papers produced by Liao Wang. 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 Liao Wang. The network helps show where Liao Wang may publish in the future.
Co-authorship network of co-authors of Liao Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Liao Wang. A scholar is included among the top collaborators of Liao Wang 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 Liao Wang. Liao Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 6 | |
| 3 | 86 | |
| 4 | 0 | |
| 5 | 59 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 54 | |
| 10 | 7 | |
| 11 | 10 | |
| 12 | 0 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 11 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | [The artificial joint failure types and analysis]. | 1 |
About Liao Wang
Liao Wang is a scholar working on Computer Graphics and Computer-Aided Design, Management Information Systems and Nuclear and High Energy Physics, having authored 23 papers that have together received 318 indexed citations. Recurring topics across this work include Magnetic confinement fusion research (5 papers), Supply Chain and Inventory Management (5 papers) and Stochastic processes and financial applications (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (93 citations), Computer Vision and Pattern Recognition (117 citations) and Building and Construction (44 citations). Liao Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fuqiang Zhao, Lan Xu, Yingliang Zhang, Jingyi Yu, Yanshun Zhang, Xinhang Liu, David D. Yao, Xiang Wang, Lu Yang and Xinyuan Zhan. Their work appears in journals such as ACM Transactions on Graphics, Operations Research and Waste Management.
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.