John W. Lau

802 total citations
33 papers, 532 citations indexed

About

John W. Lau is a scholar working on Artificial Intelligence, Finance and Statistics and Probability. According to data from OpenAlex, John W. Lau has authored 33 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 16 papers in Finance and 10 papers in Statistics and Probability. Recurrent topics in John W. Lau's work include Bayesian Methods and Mixture Models (14 papers), Financial Risk and Volatility Modeling (13 papers) and Stochastic processes and financial applications (7 papers). John W. Lau is often cited by papers focused on Bayesian Methods and Mixture Models (14 papers), Financial Risk and Volatility Modeling (13 papers) and Stochastic processes and financial applications (7 papers). John W. Lau collaborates with scholars based in Australia, United Kingdom and Hong Kong. John W. Lau's co-authors include Tak Kuen Siu, Hailiang Yang, Robert J. Elliott, Edward Cripps, Leunglung Chan, Jeffrey S. Phillips, Melinda Hodkiewicz, Mike K. P. So, Dominik Wodarz and Natalia L. Komarova and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and The American Naturalist.

In The Last Decade

John W. Lau

31 papers receiving 515 citations

Peers

John W. Lau

FINAN

Claude Lefèvre Belgium

Shunpu Zhang United States

J. Miguel Marín Spain

Josemar Rodrigues Brazil

Dale S. Borowiak United States

R. G. Cowell United Kingdom

Chris Adcock United Kingdom

Mariano Matilla‐García Spain

Yan‐Xia Lin Australia

Maozai Tian China

Claude Lefèvre Belgium

John W. Lau

215 ×1.1

FINAN

138 ×0.8

311 ×3.0

213 ×2.6

17 ×0.3

Citations per year, relative to John W. Lau John W. Lau (= 1×) peers Claude Lefèvre

Countries citing papers authored by John W. Lau

Since Specialization

Citations

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

Fields of papers citing papers by John W. Lau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Lau. 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 John W. Lau. The network helps show where John W. Lau may publish in the future.

Co-authorship network of co-authors of John W. Lau

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Lau. A scholar is included among the top collaborators of John W. Lau 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 John W. Lau. John W. Lau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Byun, Min Kwang, Wendy Hui, & John W. Lau. (2025). Mitigating Algorithmic Bias in Multiclass CNN Classifications Using Causal Modeling. UWA Profiles and Research Repository (UWA). 1–7.

Hui, Wendy & John W. Lau. (2024). Mitigating Nonlinear Algorithmic Bias in Binary Classification. UWA Profiles and Research Repository (University of Western Australia). 913–917. 1 indexed citations

Hui, Wendy & John W. Lau. (2024). Detecting and Mitigating Algorithmic Bias in Binary Classification using Causal Modeling. UWA Profiles and Research Repository (UWA). 47–51. 2 indexed citations

Hui, Wendy, Siu Man Lui, & John W. Lau. (2019). A reporting guideline for IS survey research. Decision Support Systems. 126. 113136–113136. 10 indexed citations

Cripps, Edward, et al.. (2019). Climate inference on daily rainfall across the Australian continent, 1876–2015. The Annals of Applied Statistics. 13(2). 4 indexed citations

Hui, Wendy & John W. Lau. (2019). Application of Literature-Based Discovery in Nonmedical Disciplines. UWA Profiles and Research Repository (University of Western Australia). 7–11.

Elliott, Robert J., Tak Kuen Siu, & John W. Lau. (2018). A hidden Markov regime-switching smooth transition model. Studies in Nonlinear Dynamics and Econometrics. 22(4). 7 indexed citations

Cripps, Edward, Robert E. Wood, Nadin Beckmann, et al.. (2016). Bayesian Analysis of Individual Level Personality Dynamics. Frontiers in Psychology. 7. 1065–1065. 4 indexed citations

Lau, John W. & Edward Cripps. (2015). Stick-Breaking Representation and Computation for Normalized Generalized Gamma Processes. Sankhya A. 77(2). 300–329. 1 indexed citations

10.

Phillips, Jeffrey S., Edward Cripps, John W. Lau, & Melinda Hodkiewicz. (2015). Classifying machinery condition using oil samples and binary logistic regression. Mechanical Systems and Signal Processing. 60-61. 316–325. 70 indexed citations

11.

Lau, John W.. (2013). A conjugate class of random probability measures based on tilting and with its posterior analysis. Bernoulli. 19(5B). 2 indexed citations

12.

Wodarz, Dominik, et al.. (2013). Nearest-Neighbor Interactions, Habitat Fragmentation, and the Persistence of Host-Pathogen Systems. The American Naturalist. 182(3). E94–E111. 7 indexed citations

13.

Elliott, Robert J., Tak Kuen Siu, & John W. Lau. (2013). Filtering a Double Threshold Model With Regime Switching. IEEE Transactions on Automatic Control. 58(12). 3185–3190. 2 indexed citations

14.

Wodarz, Dominik, et al.. (2012). Complex Spatial Dynamics of Oncolytic Viruses In Vitro: Mathematical and Experimental Approaches. PLoS Computational Biology. 8(6). e1002547–e1002547. 56 indexed citations

15.

Lau, John W. & Tak Kuen Siu. (2008). Modelling long-term investment returns via Bayesian infinite mixture time series models. Scandinavian Actuarial Journal. 2008(4). 243–282. 3 indexed citations

16.

Siu, Tak Kuen, John W. Lau, & Hailiang Yang. (2008). Pricing Participating Products under a Generalized Jump‐Diffusion Model. International Journal of Stochastic Analysis. 2008(1). 25 indexed citations

17.

Elliott, Robert J., Tak Kuen Siu, Leunglung Chan, & John W. Lau. (2007). Pricing Options Under a Generalized Markov-Modulated Jump-Diffusion Model. Stochastic Analysis and Applications. 25(4). 821–843. 82 indexed citations

18.

Lau, John W., Tak Kuen Siu, & Hailiang Yang. (2006). On Bayesian Mixture Credibility. Astin Bulletin. 36(2). 573–588. 9 indexed citations

19.

Lau, John W., Tak Kuen Siu, & Hailiang Yang. (2006). On Bayesian Mixture Credibility. Astin Bulletin. 36(2). 573–588. 1 indexed citations

20.

Lau, John W., et al.. (1993). Vehicle navigation and map quality. 17–20. 5 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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