Recent Publications

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• Lin, Y.L. and Phoa, F.K.H. (2021). Efficient experimental plans for second-order event-related functional magnetic resonance imaging. Statistica Sinica, 31, 157-171.

• Akhtar, Y. and Phoa, F.K.H. (2020). Cost-efficient mixed-level covering designs for testing experiments. Journal of Statistical Theory and Practice 14, 6.

• Phoa, F.K.H. and Tsai, T.C. (2020). A two-step approach to the search of minimum energy designs via swarm intelligence. Advances in Swarm Intelligence, Springer Volume 12145, 37-45.

• Hsu, T.C. and Phoa, F.K.H. (2018). A smart initialization on the swarm intelligence based method for efficient search of optimal minimum energy design. Advances in Swarm Intelligence, Springer Volume 10941, 78-87.

• Chatterjee, K., Ou, Z., Phoa, F.K.H. and Qin, H. (2017). Uniform four-level designs from two-level designs: a new look. Statistica Sinica, 27, 171-186.

• Cheng, C.S., Kao, M.H. and Phoa, F.K.H. (2017). Optimal and efficient designs for functional brain imaging experiments. Journal of Statistical Planning and Inference, 181, 71-80.

• Lin, Y.L., Phoa, F.K.H. and Kao, M.H. (2017). Circulant partial Hadamard matrices: construction via general difference sets and its application to fMRI experiments. Statistica Sinica, 27, 1715-1724.

• Lin, Y.L., Phoa, F.K.H. and Kao, M.H. (2017). Optimal design of fMRI experiments using circulant (almost-)orthogonal arrays. Annals of Statistics, 45, 2483-2510.

• Phoa, F.K.H. (2017). A swarm intelligence based (SIB) method for optimization in designs of experiments. Natural Computing, 16, 597-605.

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• Liu, H.P., Phoa, F.K.H., Chen-Burger, Y.H. and Lin, S.P. (2024). An Efficient Swarm Intelligence Approach to the Optimization on High-Dimensional Solutions with Cross-Dimensional Constraints with Applications in Supply Chain Management. Frontiers in Computational Neuroscience, 18, 1283974.

• Huang, E.C.H. and Phoa, F.K.H. (2023). A uniform placement of alters on spherical surface (U-PASS) for ego-centric networks with community structure and alter attributes. Advances in Complex Systems, 26, 2340003.

• Sutrisno, H. and Phoa, F.K.H. (2023). Anomalous subsequence detection in time series: Mathematical formulation and a novel evolutionary algorithm based on clustering and swarm intelligenc. Applied Intelligence, 53, 29585-29603.

• Huang, E.C.H. and Phoa, F.K.H. (2023). Uniformly scattering neighboring nodes of an ego-centric network on a spherical surface for better network visualization. Complex Networks and Their Applications XI, SCI Volume 1078, 97-107.

• Singh, K., Liu, H.P., Phoa, F.K.H., Lin, S.P. and Chen-Burger, Y.H. (2022). Decentralized supply chain optimization via swarm intelligence. Advances in Swarm Intelligence Springer Volume 13344, 432-441.

• Sun, W.H. and Phoa, F.K.H. (2022). Network community detection via an improved swarm intelligence approach Springer Volume 13344, 419-431.

• Phoa, F.K.H., Liu, H.P., Chen-Burger, Y.H. and Lin, S.P. (2021). Metaheuristic optimization on tensor-type solution via swarm intelligence and its application in the profit optimization in designing selling scheme. Advances in Swarm Intelligence Springer Volume 12689, 72-82.

• Singh, K., Liu, H.P. Phoa, F.K.H. and Chen-Burger, Y.H. (2021). Swarm intelligence optimization algorithms and their applications in a complex layer-egg supply chain. Agents and Multi-agent Systems: Technologies and Applications SIST Volume 241, 39-51.

• Yen, P.C. and Phoa, F.K.H. (2021). Traveling salesman problem via swarm intelligence. Advances in Swarm Intelligence Springer Volume 12689, 106-115.

• Phoa, F.K.H. and Tsai, T.C. (2020). A two-step approach to the search of minimum energy designs via swarm intelligence. Advances in Swarm Intelligence Springer Volume 12145, 37-45.

• Lin, F.P.C. and Phoa, F.K.H. (2019). Runtime estimation and scheduling on parallel processing supercomputers via instance-based learning and swarm intelligence. International Journal of Machine Learning and Computations 9, 592-598.

• Hsu, T.C. and Phoa, F.K.H. (2018). A smart initialization on the swarm intelligence based method for efficient search of optimal minimum energy design. Advances in Swarm Intelligence, Springer Volume 10941, 78-87.

• Lin, F.P.C. and Phoa, F.K.H. (2017). An efficient construction of confidence regions via swarm intelligence and its application in target localization. IEEE Access, 6, 8610-8618.

• Lin, F.P.C. and Phoa, F.K.H. (2017). A performance study of parallel programming via CPU and GPU on swarm intelligence based evolutionary algorithm. Proceedings of ISMSI 2017, 1-5.

• Phoa, F.K.H. (2017). A swarm intelligence based (SIB) method for optimization in designs of experiments. Natural Computing, 16, 597-605.

• Wang, T.C. and Phoa, F.K.H. (2017). Community detection under exponential random graph model: a metaheuristic approach. Advances in Swarm Intelligence, Springer Volume 10386, 87-98.

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• Huang, E.C.H. and Phoa, F.K.H. (2023). A uniform placement of alters on spherical surface (U-PASS) for ego-centric networks with community structure and alter attributes. Advances in Complex Systems, 26, 2340003.

• Huang, E.C.H. and Phoa, F.K.H. (2023). Uniformly scattering neighboring nodes of an ego-centric network on a spherical surface for better network visualization. Complex Networks and Their Applications XI, SCI Volume 1078, 97-107.

• Jung, H., Phoa, F.K.H. and Ashouri, M. (2022). A leading author model for the popularity effect on scientific collaboration. Complex Networks and Their Applications X, SCI Volume 1015, 424-437.

• Sun, W.H. and Phoa, F.K.H. (2022). Network community detection via an improved swarm intelligence approach Springer Volume 13344, 419-431.

• Jung, H. and Phoa, F.K.H. (2021). On the effects of capability and popularity on network dynamics with applications to Youtube and Twitch networks. Physica A, 571, 125663.

• Jung, H. and Phoa, F.K.H. (2021). A mixture model of truncated zeta distributions with applications to scientific collaboration networks. Entropy, 23, 502.

• Chang, L.L.N., Phoa, F.K.H. and Nakano, J. (2020). Citations of statistics articles in Web of Science. Proceedings of the Institute of Statistical Mathematics 68, 247-264.

• Jung, H. and Phoa, F.K.H. (2020). Analysis of a finite mixture of truncated zeta distributions for degree distribution. Complex Networks and Their Applications, SCI Volume 944, 497-502.

• Phoa, F.K.H., Lai, H.Y., Chang, L.L.N. and Honda, K. (2020). A two-step deep learning approach to data classification and modeling and a demonstration on subject type relationship analysis in the Web of Science. Scientometrics 125, 851-863.

• Wang, T.C. and Phoa, F.K.H. (2020). A generalized framework for detecting social network communities by the scanning method. Complex Networks and Their Applications, SCI Volume 881, 250-261.

• Chang, L.L.N., Phoa, F.K.H. and Nakano, J. (2019). A new metric for the analysis of the scientific article citation network. IEEE Access 7, 132027-132032.

• Mizukami, Y., Honda, K., Phoa, F.K.H. and Nakano, J. (2019). Quantitatively analyze the capability of the organization: Estimating the capability to induce innovation based on co-author information of articles. Proceedings of ISI WSC 2019 Special Topic Sessions Volume 2, 1-10.

• Chang, L.L.N. and Phoa, F.K.H. (2017). A study of the article citation network in statistics research community. Proceedings of DSIR 2017, 134-137.

• Lin, Y.L. and Phoa, F.K.H. (2017). Dominating centrality set: a new measure on the network coverage of influential center nodes. Proceedings of DSIR 2017, 138-141.

• Wang, T.C. and Phoa, F.K.H. (2017). Community detection under exponential random graph model: a metaheuristic approach. Advances in Swarm Intelligence, Springer Volume 10386, 87-98.

• Wang, T.C., Phoa, F.K.H. and Lin, Y.L. (2017). Network exploration by complement graph with graph coloring. Journal of Advanced Statistics, 2, 78-95.

• Yang, C.Y., Phoa, F.K.H. and Chiang, Y.S. (2017). A statistical evaluation and modeling on the social transitivity behavior. Asian Journal of Humanities and Social Studies, 5, 122-130.

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• Ashouri, M., Phoa, F.K.H., Chen, C.H. and Shmueli, G. (2023). An interactive clustering-based visualization tool for air quality data analysis. Aerosol and Air Quality Research 23, 230124.

• Ashouri, M. and Phoa, F.K.H. (2022). Interactive tool for clustering and forecasting patterns of Taiwan COVID-19 spread. PLoS ONE 17, 0265477.

• Weng, P.C.Y. and Phoa, F.K.H. (2021). Perturbation analysis and condition numbers of rational Riccati equations. Annals of Mathematical Sciences and Applications 6, 25-49.

• Lukusa, M.T. and Phoa, F.K.H. (2020). A note on the weighting-type estimations of the zero-inflated Poisson regression model with missing data in covariates. Statistics and Probability Letters 158, 108654.

• Lukusa, M.T. and Phoa, F.K.H. (2020). A Horvitz-type estimation on incomplete traffic accident data analyzed via a zero-inflated Poisson model. Accident Analysis and Prevention 134, 105235.

• Lukusa, M.T. and Phoa, F.K.H. (2020). Semiparametric weighting estimations of a zero-inflated Poisson regression with missing in covariates. Nonparametric Statistics, Springer Volume 339, 329-339.

• Weng, P.C.Y. and Phoa, F.K.H. (2020). Perturbation analysis of continuous-time linear time-invariant systems. Advances in Pure Mathematics 10, 155-173.

• Weng, P.C.Y. and Phoa, F.K.H. (2018). Calibrating linear continuous-time dynamical systems via perturbation analysis. Filomat, 32, 1909-1915.