Xiaopei Liu

4.0k total citations · 2 hit papers
52 papers, 3.2k citations indexed

About

Xiaopei Liu is a scholar working on Computational Mechanics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Xiaopei Liu has authored 52 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Mechanics, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Xiaopei Liu's work include Lattice Boltzmann Simulation Studies (12 papers), Computer Graphics and Visualization Techniques (12 papers) and Advanced Vision and Imaging (7 papers). Xiaopei Liu is often cited by papers focused on Lattice Boltzmann Simulation Studies (12 papers), Computer Graphics and Visualization Techniques (12 papers) and Advanced Vision and Imaging (7 papers). Xiaopei Liu collaborates with scholars based in China, United States and Hong Kong. Xiaopei Liu's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Oncogene.

In The Last Decade

Xiaopei Liu

49 papers receiving 3.1k citations

Hit Papers

Stat5a is mandatory for adult mammary gland development a... 1996 2026 2006 2016 1997 1996 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaopei Liu China 19 898 846 778 614 389 52 3.2k
Nancy L. Sicotte United States 37 271 0.3× 428 0.5× 390 0.5× 1.6k 2.7× 282 0.7× 78 5.4k
Philip C. De Witt Hamer Netherlands 36 509 0.6× 1.1k 1.3× 296 0.4× 1.0k 1.6× 73 0.2× 117 4.9k
D. A. Johnston United States 20 453 0.5× 1.2k 1.4× 971 1.2× 564 0.9× 364 0.9× 43 4.0k
Michael Hawrylycz United States 32 362 0.4× 4.1k 4.8× 2.4k 3.1× 1.7k 2.8× 153 0.4× 64 8.6k
Niels Bergsland United States 46 488 0.5× 1.0k 1.2× 508 0.7× 394 0.6× 85 0.2× 315 7.0k
Amami Kato Japan 40 216 0.2× 1.2k 1.4× 1.6k 2.1× 901 1.5× 65 0.2× 244 6.0k
Elizabeth Bullitt United States 29 436 0.5× 469 0.6× 741 1.0× 287 0.5× 607 1.6× 70 3.6k
Wen Dong China 30 312 0.3× 1.5k 1.7× 122 0.2× 439 0.7× 132 0.3× 142 3.2k
Shizhong Han United States 28 91 0.1× 921 1.1× 178 0.2× 134 0.2× 276 0.7× 69 2.7k
Amy L. Shelton United States 27 213 0.2× 440 0.5× 394 0.5× 1.3k 2.1× 253 0.7× 74 3.6k

Countries citing papers authored by Xiaopei Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Liu, Xiaopei, et al.. (2025). A Hybrid Near-wall Model for Kinetic Simulation of Turbulent Boundary Layer Flows. ACM Transactions on Graphics. 44(4). 1–24.
2.
Lu, Yan, et al.. (2025). On the nonlinear low-frequency sound absorption performance of Helmholtz resonators with spiral neck. Applied Acoustics. 237. 110765–110765. 1 indexed citations
3.
Chen, Hongwei, Liming Yin, Xiaopei Liu, Mingmin Chen, & Dong Yang. (2024). On the Optimum Distribution of Multiple Helmholtz Resonators for Annular Combustors. 1 indexed citations
4.
Li, Wei, et al.. (2024). Hybrid LBM-FVM solver for two-phase flow simulation. Journal of Computational Physics. 506. 112920–112920. 4 indexed citations
5.
Zhang, Heng, et al.. (2023). Iteration Learning Control for Uncertain Nonlinear Systems with Time-Varying Output Constraint. IFAC-PapersOnLine. 56(2). 11867–11873.
6.
Liu, Xiaopei, et al.. (2023). A Parametric Kinetic Solver for Simulating Boundary-Dominated Turbulent Flow Phenomena. ACM Transactions on Graphics. 42(6). 1–20. 3 indexed citations
7.
Desbrun, Mathieu, et al.. (2023). Building a Virtual Weakly-Compressible Wind Tunnel Testing Facility. ACM Transactions on Graphics. 42(4). 1–20. 5 indexed citations
8.
Jiang, Quan, Xiaopei Liu, Shaojun Li, et al.. (2023). Coupling Deterioration Model of Mechanical Parameters for the Jinping Marble Under Progressive Damage Conditions. Rock Mechanics and Rock Engineering. 56(6). 3993–4018. 9 indexed citations
9.
Li, Wei, et al.. (2022). Efficient kinetic simulation of two-phase flows. ACM Transactions on Graphics. 41(4). 1–17. 15 indexed citations
10.
Li, Wei, et al.. (2021). GPU Optimization for High-Quality Kinetic Fluid Simulation. IEEE Transactions on Visualization and Computer Graphics. 28(9). 3235–3251. 18 indexed citations
11.
Li, Wei, et al.. (2020). Kinetic-Based Multiphase Flow Simulation. IEEE Transactions on Visualization and Computer Graphics. 27(7). 3318–3334. 19 indexed citations
12.
Xiong, Chi, et al.. (2020). Vectorizing Quantum Turbulence Vortex-Core Lines for Real-Time Visualization. IEEE Transactions on Visualization and Computer Graphics. 27(9). 3794–3807. 4 indexed citations
13.
Li, Wei, Kai Bai, & Xiaopei Liu. (2018). Continuous-Scale Kinetic Fluid Simulation. IEEE Transactions on Visualization and Computer Graphics. 25(9). 2694–2709. 16 indexed citations
14.
Liu, Xiaopei, et al.. (2017). Towards High-Quality Visualization of Superfluid Vortices. IEEE Transactions on Visualization and Computer Graphics. 24(8). 2440–2455. 5 indexed citations
15.
Liu, Xiaopei, et al.. (2016). A Unified Detail-Preserving Liquid Simulation by Two-Phase Lattice Boltzmann Modeling. IEEE Transactions on Visualization and Computer Graphics. 23(5). 1479–1491. 14 indexed citations
16.
Zheng, Charles, Bruce J. Baum, Xiaopei Liu, et al.. (2015). Persistence of hAQP1 expression in human salivary gland cells following AdhAQP1 transduction is associated with a lack of methylation of hCMV promoter. Gene Therapy. 22(9). 758–766. 14 indexed citations
17.
Liu, Xiaopei, Lei Jiang, Tien-Tsin Wong, & Chi‐Wing Fu. (2012). Statistical Invariance for Texture Synthesis. IEEE Transactions on Visualization and Computer Graphics. 18(11). 1836–1848. 7 indexed citations
18.
Wan, Liang, Xiaopei Liu, Tien‐Tsin Wong, & Chi-Sing Leung. (2009). Evolving Mazes from Images. IEEE Transactions on Visualization and Computer Graphics. 16(2). 287–297. 13 indexed citations
20.
Liu, Xiaopei. (1998). Smaller Volume of Prefrontal Lobe in Polysubstance Abusers: A Magnetic Resonance Imaging Study. Neuropsychopharmacology. 18(4). 243–252. 120 indexed citations

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.

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