Xiaopei Liu
- Oncology top 5%
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 2%
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Gertraud W. RobinsonLothar HennighausenKay‐Uwe WagnerLisa GarrettAnthony Wynshaw‐BorisEdythe D. LondonCarlo ContoreggiRobert L. Phillips
- Topics
- Lattice Boltzmann Simulation Studies (12 papers)Computer Graphics and Visualization Techniques (12 papers)Advanced Vision and Imaging (7 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignCellular and Molecular NeuroscienceDevelopmental Neuroscience
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaopei Liu
49 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Oncology 898
- Molecular Biology 846
- Cellular and Molecular Neuroscience 778
- Cognitive Neuroscience 614
- Computer Vision and Pattern Recognition 389
Countries citing papers authored by Xiaopei Liu
This map shows the geographic impact of Xiaopei 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 Xiaopei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaopei Liu more than expected).
Fields of papers citing papers by Xiaopei Liu
This network shows the impact of papers produced by Xiaopei 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 Xiaopei Liu. The network helps show where Xiaopei Liu may publish in the future.
Co-authorship network of co-authors of Xiaopei Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopei Liu. A scholar is included among the top collaborators of Xiaopei 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 Xiaopei Liu. Xiaopei 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 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 15 | |
| 10 | 18 | |
| 11 | 19 | |
| 12 | 4 | |
| 13 | 16 | |
| 14 | 5 | |
| 15 | 14 | |
| 16 | 14 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 72 | |
| 20 | 120 |
About Xiaopei Liu
Xiaopei Liu is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 52 papers that have together received 3.2k indexed citations. Recurring topics across this work include Lattice Boltzmann Simulation Studies (12 papers), Computer Graphics and Visualization Techniques (12 papers) and Advanced Vision and Imaging (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (154 citations), Cellular and Molecular Neuroscience (778 citations) and Developmental Neuroscience (150 citations). Xiaopei Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Gertraud W. Robinson, Lothar Hennighausen, Kay‐Uwe Wagner, Lisa Garrett, Anthony Wynshaw‐Boris, Edythe D. London, Carlo Contoreggi, Robert L. Phillips, Stephanie Grant and Alane S. Kimes. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development and Oncogene.
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.