Xie S and Shingadia T (2025) Explainable Machine Learning Framework for Predicting Auto Loan
Defaults, Risks. 13(9):172. https://doi.org/10.3390/risks13090172 (ABDC: B rank; JIF:1.5; SJR: Q2; CiteScore 5.0, Q1).

Zhang H, Min N, Xie S (2025). Fuzzy Lyapunov-Based Gain-Scheduled Control for Mars Entry Vehicles: A Computational Framework for Robust Nonlinear Trajectory, Computation 2025, 13(9), 205; https://doi.org/10.3390/computation13090205(JIF:1.9; SJR: Q2; CiteScore 4.1, Q2).

 Xie S, Gan C (2025). Modeling Age-to-Age Development Factors in Auto Insurance Through Principal Component Analysis and Temporal Clustering. Risks. 2025; 13(6):100. https://doi.org/10.3390/risks13060100 (ABDC: B rank; JIF:1.5; SJR: Q2; CiteScore 5.0, Q1).

Xie S, Zhang J (2025). Spatial Modeling of Auto Insurance Loss Metrics to Uncover Impact of COVID-19 Pandemic. Mathematics. 2025; 13(9):1416. https://doi.org/10.3390/math13091416(SCI, JIF 2.2, WOS JIF: Q1; SJR: Q1, CiteScore 4.6: Q1).

Liu K, Ban X, Xie S (2025). Fuzzy Reinforcement Learning Based Control of Linear Systems with Input Saturation, ISA Transactions. Volume 158. https://doi.org/10.1016/j.isatra.2024.12.045 (SCI, JIF 6.3, WOS JIF: Q1, SJR: Q1, CiteScore 11.7: Q1).

Combert F, Xie S, Lawniczak A (2025). Bi-Partitioned Feature Weighted K-Means Clustering for Detecting Insurance Fraud Claim Patterns.  Mathematics 2025, 13(3), 434; https://doi.org/10.3390/math13030434  (SCI, JIF 2.2, WOS JIF: Q1; SJR: Q1, CiteScore 4.6: Q1).

Xie, S, Gan, C, Lawniczak, AT. (2024). Analyzing Decision-Making in Cognitive Agent Simulations Using Generalized Linear Mixed-Effects Models. Mathematics, 12(23), 3768. https://doi.org/10.3390/math12233768 (SCI, JIF 2.3, WOS JIF: Q1, 21/332; SJR: Q1, CiteScore 3.5: Q1)

Xie, S. (2024). Analyzing the Influence of Telematics-Based Pricing Strategies on Traditional Rating Factors in Auto Insurance Rate Regulation. Mathematics, 12(19), 3150. https://doi.org/10.3390/math12193150 (SCI, JIF 2.3, WOS JIF: Q1, 21/332; SJR: Q1, CiteScore 3.5: Q1)

Xie, S, Gan, C, Lawniczak, AT. (2024). Gaussian Mixture Regression Model with Sparsity for Clustering of Territory Risk in Auto Insurance. Accepted. Asia-Pacific Journal of Risk and Insurance. https://doi.org/10.1515/apjri-2024-0002 (ABDC: B rank)

Xie, S, Gan, C, Lawniczak, AT. (2024).  Non-negative Sparse Matrix Factorization for Soft Clustering of Territory Risk Analysis. Annals of Data. Science. https://doi.org/10.1007/s40745-024-00570-z (CiteScore 6.5, Q1).

Xie, S, Zhang, J. (2024). Handling Highly Imbalanced Data for Classifying Fatality of Auto Collisions Using Machine Learning Techniques. Journal of Management Analytics. https://doi.org/10.1080/23270012.2024.2377168.(SSCI, JIF 5.9, WOS JIF; Q1, SJR: Q1, CiteScore 10.9: Q1)

Xie, S., & Ho, N. (2024) Unified Spatial Clustering of Territory Risk to Uncover Impact of COVID-19 Pandemic on Major Coverages of Auto Insurance. Risks, 12 (7),108. https://doi.org/10.3390/risks12070108 (ABDC: B rank; JIF:2.2; SJR: Q2; CiteScore 3.1, Q1).

Xie S and Li Y. (2024) Analyzing Size of Loss Frequency Distribution Patterns: Uncovering the Impact of the COVID-19 Pandemic, Risks 12(2), 40; https://doi.org/10.3390/risks12020040 (ABDC: B rank; JIF:2.2; SJR: Q2; CiteScore 3.1, Q1).

Nardone M, Foster M, O'Brien M, Coovadia Y, Xie S, Usselman C, Kimmerly D, Taylor C, and Philip Millar P. (2024), Sympathetic determinants of resting blood pressure in males and females, American Journal of Physiology-Heart and Circulatory Physiology. Mar 1;326(3):H612-H622. DOI: 10.1152/ajpheart.00497.2023 (SCI, JIF:4.8, Q1; CiteScore 8.7, Q1).

 Xie S (2024), Estimating Risk Relativity of Driving Records using Generalized Additive Models: A Statistical Approach for Auto Insurance Rate Regulation, Asia-Pacific Journal of Risk and Insurance, vol. 18, no. 1, 2024, pp. 55-86. https://doi.org/10.1515/apjri-2023-0032 (ABDC: B rank)

Xie S, Zhang J. (2023). TOPSIS-Based Comprehensive Measure of Variable Importance in Predictive Modelling. Expert Systems with Applications, 120682. https://doi.org/10.1016/j.eswa.2023.120682 (SCI, IF:8.5; WOS JIF Q1; SJR: Q1; CiteScore 12.6, Q1)

Xie S. (2023). Modelling Auto Insurance Size-of-Loss Distributions Using Exponentiated Weibull Distribution and De-grouping Methods. Expert Systems with Applications, 231, 120763. https://doi.org/10.1016/j.eswa.2023.120763 (SCI, IF:8.5; WOS JIF Q1; SJR: Q1; CiteScore 12.6, Q1)

 Xie S and Gan, C. (2023). Classification of Territory Risk by Generalized Linear and Generalized Linear Mixed Models, Journal of Management Analytics, Volume 10, 2023 - Issue 2, Pages: 223-246 https://doi.org/10.1080/23270012.2023.2187716. (SSCI, JIF 5.9, WOS JIF; Q1, SJR: Q1, CiteScore 10.9: Q1)

Xie S, Gan C (2023). Estimating Territory Risk Relativity Using Generalized Linear Mixed Models and Fuzzy C-Means Clustering. Risks. 2023; 11(6):99. https://doi.org/10.3390/risks11060099 (ABDC: B rank; JIF:2.2; SJR: Q2; CiteScore 3.1, Q1)

Xie S, Shi K. (2023) Generalised Additive Modelling of Auto Insurance Data with Territory Design: A Rate Regulation Perspective. Mathematics. 11(2):334. https://doi.org/10.3390/math11020334 (SCI, JIF 2.3, WOS JIF: Q1, 21/332; SJR: Q1, CiteScore 3.5: Q1)

Xie S, Luo R, Li Y. (2022) Exploring Industry-Level Fairness of Auto Insurance Premiums by Statistical Modeling of Automobile Rate and Classification Data. Risks, 10(10),194. https://doi.org/10.3390/risks10100194 (ABDC: B rank; JIF:2.2; SJR: Q2; CiteScore 3.1, Q1)

Xie S; Lawniczak, AT; Gan, C. (2022). Optimal Number of Clusters in Explainable Data Analysis of Agent-Based Simulation Experiments. Journal of Computational Science, 62, 101685. https://doi.org/10.1016/j.jocs.2022.101685 (SCI, JIF 3.3, WOS JIF: Q1; SJR: Q1, CiteScore 5.9: Q1)

Xie S. (2022). Feature Extraction of Auto Insurance Size of Loss Data Using Functional Principal Component Analysis, Expert Systems with Applications, 198, 116780. https://doi.org/10.1016/j.eswa.2022.116780 (SCI, IF:8.5; WOS JIF Q1; SJR: Q1; CiteScore 12.6, Q1)

Xie S; Luo R. (2022) Measuring Variable Importance in Generalized Linear Models for Modeling Size of Loss Distributions. Mathematics; 10(10):1630.  https://doi.org/10.3390/math10101630 (SCI, JIF 2.3, WOS JIF: Q1, 21/332; SJR: Q1, CiteScore 3.5: Q1)

 Correa da Cunha,H, Singh, V, Xie S (2022). The Determinants of Outward Foreign Direct Investment from Latin America and the Caribbean: An Integrated Entropy Based TOPSIS Multiple Regression Analysis Framework. Journal of Risk and Financial Management. 15(3), 130-151. https://doi.org/10.3390/jrfm15030130 (ABDC: B rank)

 Nardone M, Incognito AV, Kathia MM, Omazic LJ, Lee JB, Teixeira AL, Xie S, Vianna LC, Millar PJ (2021). Signal-averaged resting sympathetic transduction of blood pressure: is it time to account for prevailing muscle sympathetic burst frequency? American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 2021 Sep 1;321(3): R484-94.https://doi.org/10.1152/ajpregu.00131.2021 (SCI, JIF:3.619 Q1; CiteScore 5.3, Q1)

Xie S. (2021). Wavelet Power Spectral Domain Functional Principal Component Analysis for Feature Extraction of Epileptic EEGs. Computation. 9(7): 78-97. https://doi.org/10.3390/computation9070078 (JIF:2.2; SJR: Q2; CiteScore 3.3, Q2).

Xie S. (2021). Improving Explainability of Major Risk Factors in Artificial Neural Networks for Auto Insurance Rate Regulation. Risks. 9(7): 126-147.  https://doi.org/10.3390/risks9070126 (ABDC: B rank; JIF:2.2; SJR: Q2; CiteScore 3.1, Q1)

Xie S, Lawniczak A.T., Hao J (2020). Modelling Autonomous Agents' Decisions in Learning to Cross a Cellular Automaton-Based Highway via Artificial Neural Networks. Computation 2020, 8(64). https://doi.org/10.3390/computation8030064 (IF:2.2; SJR: Q2; CiteScore 2.9, Q2).

 Xie S, Lawniczak A, Gan C (2019). Modelling and Analysis of Autonomous Agents’ Decision in Learning to Cross a Cellular Automaton-Based Highway. Computation 2019, 7(3), 53. https://doi.org/10.3390/computation7030053 (IF:2.2; SJR: Q2; CiteScore 3.3, Q2).

Xie S (2019). Defining Geographical Rating Territories in Auto Insurance Regulation by Spatially Constrained Clustering. Risks2019,7(2),42. (ABDC: B rank; JIF:1.5; SJR: Q2; CiteScore 5.0, Q1).

Xie S and Lawniczak A (2018). Estimating Major Risk Factor Relativities in Rate Filings Using Generalized Linear Models. International Journal of Financial Studies. 2018, 6(4), 84. https://doi.org/10.3390/ijfs6040084 (ABDC: B rank; CiteScore 2.6, Q2).

Xie S and Krishnan S (2017). Model-Based Sparse Feature Extraction for Biomedical Signal Classification.  International Journal of Statistics in Medical Research, 2017, Vol 6, No. 1. https://doi.org/10.6000/1929-6029.2017.06.01.2

Lawniczak A, Di Stefano B, Ly L, Xie S (2016). Performance of Population of Naïve Creatures with Fear and Desire Capable of Observational Social Learning. Acta Physica Polonica B Proceeding Supplement, Vol 9, Page: 95-109. https://doi.org/10.5506/APhysPolBSupp.9.95 (SJR: Q3)

Xie S and Krishnan  S (2014).  Dynamic Principal Component Analysis with Non-overlapping Moving Window and Its Applications to Epileptic EEG Classification. The Scientific World Journal, Volume 2014 (2014), Article ID 419308. https://doi.org/10.1155/2014/419308 (SJR: Q2, CiteScore 2.4, Q2)

Xie S and Krishnan S (2013). Wavelet Based Sparse Functional Linear Model with Applications to EEGs Seizure Detection and Epilepsy Diagnosis. Medical & Biological Engineering & Computing 51(1) Page:49-60. https://doi.org/10.1007/s11517-012-0967-8 (SCI, IF 2.158, SJR: Q2)

 Xie S, Lawniczak A, Lio` P and Krishnan S (2013). Feature Extraction by Multi-scale Principal Component Analysis and Classification in Spectral Domain. Engineering, 2013, 5, 268-271.

Xie S,  Lawniczak A (2012). Study of Stationary Load Increase of Computer Network Traffic Via Dynamic Principal Component Analysis. ISRN Computational Mathematics, Vol. 2012, Article ID 103509, 10 pages. https://doi.org/10.5402/2012/103509

Xie S,  Lawniczak, A, Krishnan S and Lio` P (2012). Wavelet Kernel Principal Component Analysis in Noisy Multi-scale Data Classification. ISRN Computational Mathematics, Vol. 2012, Article ID 197352, 13 pages, 2012. https://doi.org/10.5402/2012/197352

Xie S, Jin F, Krishnan S and Sattar F (2012). Signal Feature Extraction by Multi-scale PCA and Its Application to Respiratory Sound Classification. Medical & Biological Engineering & Computing, 50(7): 759-768. https://doi.org/10.1007/s11517-012-0903-y  (SCI, IF 2.158, SJR: Q2)

Sugavaneswaran L, Xie S, Umapathy K and Krishnan S (2012). Time-Frequency Analysis via Ramanujan Sums. Transaction/Journal: IEEE Signal Processing Letters, 19(6): 352-355, 2012. (SCI, IF 3.268, SJR: Q1)

Xie S and Krishnan S (2011). Signal Classification Via Multi-scale PCA and Empirical Classification Methods.  International Journal of Mechatronics and Automation, 1 (3/4): 213-223. https://doi.org/10.1504/IJMATEI.2011.045253 (SJR: Q3)

Xie S and Krishnan S (2011). First Passage Times Density of Markov Switching Geometric Brownian Motion.  Advances and Applications in Statistical Sciences, 5 (1): Pages 1-23, 2011.

Xie S and Lawniczak A (2011). Dynamics of Number of Packets in Transit in Free Flow State of Data Network. Acta Physica Polonica B Proceeding Supplement, 4(2): 237-248, 2011. https://doi.org/10.5506/APhysPolBSupp.4.237 (SJR: Q3)

Lawniczak A and Xie S (2010). Impact of Source Load and Routing on QoS of Packets Delivery. Journal of Computational Science, 1: 121-129, 2010. https://doi.org/10.1016/j.jocs.2010.03.013 (SCI, IF 4.0, WOS JIF: Q1; SJR: Q1, CiteScore 8.2: Q1)

Lawniczak A and Xie S (2010). Number of Packets in Transit as a Function of Source Load and Routing. Elsevier Procedia Computer Science, 1(1): 2357-2364, 2010. https://doi.org/10.1016/j.procs.2010.04.266 (SJR: 0.33)