Kuang Liu
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology top 10%
- Mechanics of Materials
- Materials Chemistry
- Computational Mechanics
- Co-authors
- Mingmin ZhangZhigeng PanJ. M. SchwarzSilke HenkesAditi ChattopadhyayJonathan E. KollmerJinjun ZhangKaren E. Daniels
- Topics
- Fatigue and fracture mechanics (4 papers)Material Dynamics and Properties (4 papers)Mechanical Behavior of Composites (3 papers)
- Cited by
- Experimental and Cognitive PsychologyComputer Vision and Pattern RecognitionComputer Science Applications
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Kuang Liu
22 papers receiving 265 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 84
- Experimental and Cognitive Psychology 80
- Mechanics of Materials 52
- Materials Chemistry 41
- Computational Mechanics 30
Countries citing papers authored by Kuang Liu
This map shows the geographic impact of Kuang Liu'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 Kuang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuang Liu more than expected).
Fields of papers citing papers by Kuang Liu
This network shows the impact of papers produced by Kuang Liu. 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 Kuang Liu. The network helps show where Kuang Liu may publish in the future.
Co-authorship network of co-authors of Kuang Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Kuang Liu. A scholar is included among the top collaborators of Kuang Liu 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 Kuang Liu. Kuang Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 21 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 110 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 24 | |
| 13 | 4 | |
| 14 | 1 | |
| 15 | 18 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | 7 | |
| 20 | 1 |
About Kuang Liu
Kuang Liu is a scholar working on Mechanics of Materials, Condensed Matter Physics and Civil and Structural Engineering, having authored 24 papers that have together received 278 indexed citations. Recurring topics across this work include Fatigue and fracture mechanics (4 papers), Material Dynamics and Properties (4 papers) and Mechanical Behavior of Composites (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (80 citations), Computer Vision and Pattern Recognition (84 citations) and Computer Science Applications (13 citations). Kuang Liu has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Mingmin Zhang, Zhigeng Pan, J. M. Schwarz, Silke Henkes, Aditi Chattopadhyay, Jonathan E. Kollmer, Jinjun Zhang, Karen E. Daniels, Alison E. Patteson and Edward J. Banigan. Their work appears in journals such as Physical Review Letters, Computer Physics Communications and Soft Matter.
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.