Shiwei Lan

774 total citations
24 papers, 367 citations indexed

About

Shiwei Lan is a scholar working on Artificial Intelligence, Statistics and Probability and Statistics, Probability and Uncertainty. According to data from OpenAlex, Shiwei Lan has authored 24 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Statistics and Probability and 6 papers in Statistics, Probability and Uncertainty. Recurrent topics in Shiwei Lan's work include Gaussian Processes and Bayesian Inference (13 papers), Markov Chains and Monte Carlo Methods (11 papers) and Bayesian Methods and Mixture Models (9 papers). Shiwei Lan is often cited by papers focused on Gaussian Processes and Bayesian Inference (13 papers), Markov Chains and Monte Carlo Methods (11 papers) and Bayesian Methods and Mixture Models (9 papers). Shiwei Lan collaborates with scholars based in United States, United Kingdom and China. Shiwei Lan's co-authors include Babak Shahbaba, Mark Girolami, Andrew M. Stuart, Patrick E. Farrell, Alexandros Beskos, Tapio Schneider, Alfredo Garbuno-Iñigo, Julia A. Palacios, Vladimir N. Minin and Michael D. Karcher and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Journal of Computational Physics.

In The Last Decade

Shiwei Lan

21 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shiwei Lan United States 11 149 118 69 48 47 24 367
Simon L. Cotter United Kingdom 10 233 1.6× 205 1.7× 165 2.4× 60 1.3× 25 0.5× 24 643
José E. Chacón Spain 12 204 1.4× 203 1.7× 26 0.4× 20 0.4× 16 0.3× 22 502
Radu Herbei United States 10 142 1.0× 68 0.6× 45 0.7× 10 0.2× 36 0.8× 24 327
Matti Vihola Finland 10 204 1.4× 166 1.4× 25 0.4× 18 0.4× 14 0.3× 31 454
Simon Byrne United States 6 97 0.7× 94 0.8× 30 0.4× 22 0.5× 21 0.4× 11 331
Grace Chan Australia 6 69 0.5× 56 0.5× 20 0.3× 58 1.2× 21 0.4× 8 404
Lawrence M. Murray Australia 13 166 1.1× 58 0.5× 14 0.2× 13 0.3× 20 0.4× 24 415
Alen Alexanderian United States 10 50 0.3× 14 0.1× 146 2.1× 44 0.9× 33 0.7× 38 365
Fabien Campillo France 11 75 0.5× 29 0.2× 10 0.1× 30 0.6× 21 0.4× 42 408
Debdeep Pati United States 13 319 2.1× 350 3.0× 38 0.6× 25 0.5× 3 0.1× 46 714

Countries citing papers authored by Shiwei Lan

Since Specialization
Citations

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

Fields of papers citing papers by Shiwei Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiwei Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Shiwei Lan. A scholar is included among the top collaborators of Shiwei Lan 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 Shiwei Lan. Shiwei Lan 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.
Lan, Shiwei, et al.. (2025). Spatiotemporal Besov Priors for Bayesian Inverse Problems. Journal of the American Statistical Association. 1–15.
2.
Lan, Shiwei, et al.. (2025). Human action recognition based on MnasNet optimized by improved version of Football Team training algorithm. Biomedical Signal Processing and Control. 110. 108207–108207.
3.
Zhao, Guodong, et al.. (2024). A cancelable multi-biometric system based on the feature-level fusion of fingerprint and finger vein. Multimedia Tools and Applications. 84(22). 24765–24787. 2 indexed citations
4.
Lan, Shiwei, et al.. (2023). Bayesian spatiotemporal modeling for inverse problems. Statistics and Computing. 33(4). 3 indexed citations
5.
Lan, Shiwei & Lulu Kang. (2023). Sampling constrained continuous probability distributions: A review. Wiley Interdisciplinary Reviews Computational Statistics. 15(6). 3 indexed citations
6.
Lan, Shiwei, et al.. (2022). Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks. SIAM/ASA Journal on Uncertainty Quantification. 10(4). 1684–1713. 14 indexed citations
7.
Garbuno-Iñigo, Alfredo, et al.. (2020). Calibrate, emulate, sample. Journal of Computational Physics. 424. 109716–109716. 67 indexed citations
8.
Holbrook, Andrew J., Shiwei Lan, Jeffrey Streets, & Babak Shahbaba. (2020). Nonparametric fisher geometry with application to density estimation. 101–110. 2 indexed citations
9.
Lan, Shiwei, et al.. (2019). Flexible Bayesian Dynamic Modeling of Correlation and Covariance Matrices. Bayesian Analysis. 15(4). 1199–1228. 5 indexed citations
10.
11.
Lan, Shiwei. (2019). Adaptive dimension reduction to accelerate infinite-dimensional geometric Markov Chain Monte Carlo. Journal of Computational Physics. 392. 71–95. 7 indexed citations
12.
Holbrook, Andrew J., et al.. (2017). Geodesic Lagrangian Monte Carlo over the space of positive definite matrices: with application to Bayesian spectral density estimation. Journal of Statistical Computation and Simulation. 88(5). 982–1002. 11 indexed citations
13.
Lan, Shiwei, et al.. (2017). Flexible Bayesian Dynamic Modeling of Covariance and Correlation Matrices - eScholarship. 1 indexed citations
14.
Beskos, Alexandros, Mark Girolami, Shiwei Lan, Patrick E. Farrell, & Andrew M. Stuart. (2016). Geometric MCMC for infinite-dimensional inverse problems. Journal of Computational Physics. 335. 327–351. 73 indexed citations
15.
Karcher, Michael D., Julia A. Palacios, Shiwei Lan, & Vladimir N. Minin. (2016). phylodyn: an R package for phylodynamic simulation and inference. Molecular Ecology Resources. 17(1). 96–100. 31 indexed citations
16.
House, Thomas, et al.. (2016). Bayesian uncertainty quantification for transmissibility of influenza, norovirus and Ebola using information geometry. Journal of The Royal Society Interface. 13(121). 20160279–20160279. 15 indexed citations
17.
Lan, Shiwei, Tan Bui–Thanh, Mike Christie, & Mark Girolami. (2015). Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian Inverse Problems. Journal of Computational Physics. 308. 81–101. 30 indexed citations
18.
Lan, Shiwei, et al.. (2014). Markov Chain Monte Carlo from Lagrangian Dynamics. Journal of Computational and Graphical Statistics. 24(2). 357–378. 20 indexed citations
19.
Shahbaba, Babak, Shiwei Lan, Wesley O. Johnson, & Radford M. Neal. (2013). Split Hamiltonian Monte Carlo. Statistics and Computing. 24(3). 339–349. 30 indexed citations
20.
Lan, Shiwei, Vassilios Stathopoulos, Babak Shahbaba, & Mark Girolami. (2012). Lagrangian Dynamical Monte Carlo. UCL Discovery (University College London). 2 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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