Qifeng Liao

542 total citations
34 papers, 368 citations indexed

About

Qifeng Liao is a scholar working on Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty and Computational Mechanics. According to data from OpenAlex, Qifeng Liao has authored 34 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Statistical and Nonlinear Physics, 16 papers in Statistics, Probability and Uncertainty and 10 papers in Computational Mechanics. Recurrent topics in Qifeng Liao's work include Model Reduction and Neural Networks (18 papers), Probabilistic and Robust Engineering Design (16 papers) and Advanced Numerical Methods in Computational Mathematics (8 papers). Qifeng Liao is often cited by papers focused on Model Reduction and Neural Networks (18 papers), Probabilistic and Robust Engineering Design (16 papers) and Advanced Numerical Methods in Computational Mathematics (8 papers). Qifeng Liao collaborates with scholars based in China, United States and United Kingdom. Qifeng Liao's co-authors include Ke Li, Howard C. Elman, Xiaoliang Wan, Dayou Lu, Binglin Wang, Yu Liu, Jinglai Li, Xinze Xi, Wentao Huang and Karen Willcox and has published in prestigious journals such as Journal of Computational Physics, Optics Express and IEEE Access.

In The Last Decade

Qifeng Liao

29 papers receiving 344 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qifeng Liao China 11 197 108 105 96 78 34 368
Alessandro Alla Italy 9 331 1.7× 107 1.0× 156 1.5× 38 0.4× 89 1.1× 27 469
Kookjin Lee United States 9 302 1.5× 88 0.8× 161 1.5× 48 0.5× 37 0.5× 26 462
Tong Qin United States 7 203 1.0× 82 0.8× 165 1.6× 26 0.3× 39 0.5× 11 387
Elizabeth Qian United States 7 215 1.1× 98 0.9× 108 1.0× 46 0.5× 53 0.7× 10 378
Kumi Nakai Japan 13 79 0.4× 57 0.5× 110 1.0× 72 0.8× 68 0.9× 35 382
Chad Lieberman United States 7 126 0.6× 102 0.9× 40 0.4× 48 0.5× 24 0.3× 9 273
Yiping Lu China 5 260 1.3× 67 0.6× 93 0.9× 27 0.3× 31 0.4× 17 386
Yeonjong Shin United States 11 177 0.9× 85 0.8× 103 1.0× 15 0.2× 49 0.6× 20 342
Jakob Zech Switzerland 9 130 0.7× 98 0.9× 94 0.9× 34 0.4× 26 0.3× 20 304
Nicola Demo Italy 11 207 1.1× 80 0.7× 118 1.1× 25 0.3× 19 0.2× 22 336

Countries citing papers authored by Qifeng Liao

Since Specialization
Citations

This map shows the geographic impact of Qifeng 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 Qifeng Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qifeng Liao more than expected).

Fields of papers citing papers by Qifeng Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qifeng 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 Qifeng Liao. The network helps show where Qifeng Liao may publish in the future.

Co-authorship network of co-authors of Qifeng Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Qifeng Liao. A scholar is included among the top collaborators of Qifeng 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 Qifeng Liao. Qifeng Liao 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.
Liao, Qifeng, et al.. (2025). Adaptive Deep Density Approximation for Stochastic Dynamical Systems. Journal of Scientific Computing. 102(3). 1 indexed citations
2.
Wei, Yong, et al.. (2024). Genome-wide sRNA and mRNA transcriptomic profiling insights into carbapenem-resistant Acinetobacter baumannii. Frontiers in Cellular and Infection Microbiology. 14. 1419989–1419989. 1 indexed citations
3.
Liao, Qifeng, et al.. (2023). Reduced basis stochastic Galerkin methods for partial differential equations with random inputs. Applied Mathematics and Computation. 463. 128375–128375. 1 indexed citations
4.
Liao, Qifeng, et al.. (2023). Robin-type domain decomposition with stabilized mixed approximation for incompressible flow. Computers & Mathematics with Applications. 147. 53–63.
5.
He, Junjie, Zhifang Xu, & Qifeng Liao. (2023). Deep neural network based adaptive learning for switched systems. Discrete and Continuous Dynamical Systems - S. 16(7). 1827–1855.
6.
Liao, Qifeng, et al.. (2023). A DOMAIN-DECOMPOSED VAE METHOD FOR BAYESIAN INVERSE PROBLEMS. International Journal for Uncertainty Quantification. 14(3). 67–95. 2 indexed citations
7.
Liu, Siqi, Xiaoyu Shi, & Qifeng Liao. (2023). Rank-Adaptive Tensor Completion Based on Tucker Decomposition. Entropy. 25(2). 225–225. 3 indexed citations
8.
Zhang, Junbo, et al.. (2022). Bayesian Aerosol Retrieval-Based PM2.5 Estimation through Hierarchical Gaussian Process Models. Mathematics. 10(16). 2878–2878. 2 indexed citations
9.
Lu, Dayou, et al.. (2021). Multi-Layer Model Enabled Fault Location for Underground Cables in MMC-HVDC Grids Considering Distributed and Frequency Dependent Line Parameters. IEEE Transactions on Power Delivery. 37(4). 3082–3096. 25 indexed citations
10.
Liao, Qifeng, et al.. (2021). LOCALIZED STOCHASTIC GALERKIN METHODS FOR HELMHOLTZ PROBLEMS CLOSE TO RESONANCE. International Journal for Uncertainty Quantification. 11(5). 77–99. 1 indexed citations
11.
Lu, Dayou, Yu Liu, Qifeng Liao, et al.. (2020). Time-Domain Transmission Line Fault Location Method With Full Consideration of Distributed Parameters and Line Asymmetry. IEEE Transactions on Power Delivery. 35(6). 2651–2662. 45 indexed citations
12.
13.
Liao, Qifeng, et al.. (2020). Gaussian Process Based Expected Information Gain Computation for Bayesian Optimal Design. Entropy. 22(2). 258–258. 6 indexed citations
14.
Liao, Qifeng, et al.. (2020). Rank adaptive tensor recovery based model reduction for partial differential equations with high-dimensional random inputs. Journal of Computational Physics. 409. 109326–109326. 3 indexed citations
15.
Jiang, Yaming, et al.. (2020). Study on shearing shrinkage properties of multilayered biaxial weft knitted fabrics. Journal of the Textile Institute. 112(10). 1678–1687. 2 indexed citations
16.
Li, Ke, et al.. (2019). A Hierarchical Neural Hybrid Method for Failure Probability Estimation. IEEE Access. 7. 112087–112096. 8 indexed citations
17.
Liao, Qifeng & Jinglai Li. (2019). An adaptive reduced basis ANOVA method for high-dimensional Bayesian inverse problems. Journal of Computational Physics. 396. 364–380. 14 indexed citations
18.
Liao, Qifeng & Guang Lin. (2016). Reduced basis ANOVA methods for partial differential equations with high-dimensional random inputs. Journal of Computational Physics. 317. 148–164. 13 indexed citations
19.
Liao, Qifeng & David J. Silvester. (2012). Implicit solvers using stabilized mixed approximation. International Journal for Numerical Methods in Fluids. 71(8). 991–1006. 2 indexed citations
20.
Liao, Qifeng & David J. Silvester. (2010). A simple yet effective a posteriori estimator for classical mixed approximation of Stokes equations. Applied Numerical Mathematics. 62(9). 1242–1256. 6 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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