Tsai‐Hung Fan

672 total citations
44 papers, 458 citations indexed

About

Tsai‐Hung Fan is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Tsai‐Hung Fan has authored 44 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 17 papers in Statistics, Probability and Uncertainty and 11 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Tsai‐Hung Fan's work include Statistical Distribution Estimation and Applications (18 papers), Statistical Methods and Bayesian Inference (13 papers) and Probabilistic and Robust Engineering Design (11 papers). Tsai‐Hung Fan is often cited by papers focused on Statistical Distribution Estimation and Applications (18 papers), Statistical Methods and Bayesian Inference (13 papers) and Probabilistic and Robust Engineering Design (11 papers). Tsai‐Hung Fan collaborates with scholars based in Taiwan, United States and Hong Kong. Tsai‐Hung Fan's co-authors include Wan‐Lun Wang, Chia‐Chen Chang, N. Balakrishnan, Yi‐Fu Wang, Takeshi Emura, Kuang‐Fu Cheng, Dennis K. J. Lin, Ralf A. Wilke, James O. Berger and Chen‐An Tsai and has published in prestigious journals such as PLoS ONE, Statistics in Medicine and Computational Statistics & Data Analysis.

In The Last Decade

Tsai‐Hung Fan

36 papers receiving 440 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tsai‐Hung Fan Taiwan 14 346 188 153 80 44 44 458
S.K. Upadhyay India 13 338 1.0× 204 1.1× 89 0.6× 52 0.7× 43 1.0× 52 437
Mikhaïl Nikulin France 12 503 1.5× 335 1.8× 297 1.9× 36 0.5× 62 1.4× 42 675
Isha Dewan India 13 249 0.7× 107 0.6× 123 0.8× 76 0.9× 79 1.8× 60 400
Catherine Huber‐Carol France 5 215 0.6× 117 0.6× 96 0.6× 37 0.5× 17 0.4× 6 354
Laurent Bordes France 9 230 0.7× 82 0.4× 141 0.9× 103 1.3× 16 0.4× 31 341
Benjamin Epstein United States 7 289 0.8× 185 1.0× 167 1.1× 36 0.5× 59 1.3× 10 478
Jarosław Bartoszewicz Poland 11 353 1.0× 155 0.8× 64 0.4× 91 1.1× 134 3.0× 69 470
Zhenmin Chen United States 11 460 1.3× 314 1.7× 146 1.0× 51 0.6× 73 1.7× 34 617
Paulo H. Ferreira Brazil 11 131 0.4× 101 0.5× 57 0.4× 48 0.6× 18 0.4× 46 255
Eisa Mahmoudi Iran 16 617 1.8× 354 1.9× 110 0.7× 58 0.7× 165 3.8× 51 740

Countries citing papers authored by Tsai‐Hung Fan

Since Specialization
Citations

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

Fields of papers citing papers by Tsai‐Hung Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tsai‐Hung Fan. 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 Tsai‐Hung Fan. The network helps show where Tsai‐Hung Fan may publish in the future.

Co-authorship network of co-authors of Tsai‐Hung Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Tsai‐Hung Fan. A scholar is included among the top collaborators of Tsai‐Hung Fan 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 Tsai‐Hung Fan. Tsai‐Hung Fan 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.
Fan, Tsai‐Hung, et al.. (2025). Bayesian Analysis of Accelerated Trend Renewal Processes With Application to Lithium-Ion Battery Data. IEEE Transactions on Reliability. 74(3). 3083–3097. 1 indexed citations
2.
Liu, Yang, Tsai‐Hung Fan, Kun Mei, & Liming Zhou. (2024). PG-YOLO: A Lightweight Vehicle Detection Method for Drones. 1492–1497.
3.
Peng, Chien‐Yu, et al.. (2023). Acceleration invariance principle for Hougaard processes in degradation analysis. Naval Research Logistics (NRL). 71(2). 318–330.
4.
Peng, Chien‐Yu, et al.. (2023). The first-passage-time moments for the Hougaard process and its Birnbaum–Saunders approximation. Statistics and Computing. 33(3).
5.
Fan, Tsai‐Hung, et al.. (2023). A Complete Bayesian Degradation Analysis Based on Inverse Gaussian Processes. IEEE Transactions on Reliability. 73(1). 536–548. 7 indexed citations
6.
Fan, Tsai‐Hung & Yi‐Fu Wang. (2022). Bayesian model selection for structural equation models for myopia data. Communications in Statistics - Simulation and Computation. 52(11). 5680–5694.
7.
Chen, Cathy W. S. & Tsai‐Hung Fan. (2022). Public opinion concerning governments’ response to the COVID-19 pandemic. PLoS ONE. 17(3). e0260062–e0260062. 6 indexed citations
8.
Fan, Tsai‐Hung, et al.. (2014). Statistical Inference of a Two-Component Series System With Correlated Log-Normal Lifetime Distribution Under Multiple Type-I Censoring. IEEE Transactions on Reliability. 64(1). 376–385. 13 indexed citations
9.
Fan, Tsai‐Hung & Yi‐Fu Wang. (2011). An empirical Bayesian forecast in the threshold stochastic volatility models. Journal of Statistical Computation and Simulation. 83(3). 486–500. 4 indexed citations
10.
Fan, Tsai‐Hung & Wan‐Lun Wang. (2011). Accelerated Life Tests for Weibull Series Systems With Masked Data. IEEE Transactions on Reliability. 60(3). 557–569. 32 indexed citations
11.
Wang, Wan‐Lun & Tsai‐Hung Fan. (2011). Bayesian analysis of multivariate t linear mixed models using a combination of IBF and Gibbs samplers. Journal of Multivariate Analysis. 105(1). 300–310. 23 indexed citations
12.
Wang, Yi‐Fu & Tsai‐Hung Fan. (2011). Bayesian analysis of the structural equation models with application to a longitudinal myopia trial. Statistics in Medicine. 31(2). 188–200. 1 indexed citations
13.
Fan, Tsai‐Hung & Chia‐Chen Chang. (2009). A Bayesian zero‐failure reliability demonstration test of high quality electro‐explosive devices. Quality and Reliability Engineering International. 25(8). 913–920. 16 indexed citations
14.
Fan, Tsai‐Hung & Kuang‐Fu Cheng. (2007). Tests and variables selection on regression analysis for massive datasets. Data & Knowledge Engineering. 63(3). 811–819. 10 indexed citations
15.
Fan, Tsai‐Hung, et al.. (2006). Bootstrapping prediction intervals on stochastic volatility models. Applied Economics Letters. 13(1). 41–45. 2 indexed citations
16.
Fan, Tsai‐Hung, et al.. (2006). Bayesian Estimation of the Number of Change Points in Simple Linear Regression Models. Communication in Statistics- Theory and Methods. 35(4). 689–710. 2 indexed citations
17.
Fan, Tsai‐Hung & Wei-Chen Chen. (2005). Bayesian change points analysis on the seismic activity in northeastern Taiwan. Journal of Statistical Computation and Simulation. 75(11). 857–868. 1 indexed citations
18.
Fan, Tsai‐Hung & Chen‐An Tsai. (1999). A bayesian method in determining the order of a finite state markov chain. Communication in Statistics- Theory and Methods. 28(7). 1711–1730. 8 indexed citations
19.
Fuh, Cheng–Der, et al.. (1998). Importance resampling for markov chains. Communications in Statistics Stochastic Models. 14(5). 1007–1026.
20.
Fan, Tsai‐Hung & James O. Berger. (1990). Exact convolution oftdistributions, with applications to Bayesian inference for a normal mean withtprior distributions∗. Journal of Statistical Computation and Simulation. 36(4). 209–228. 4 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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