Chien‐Tai Lin

1.4k total citations
71 papers, 981 citations indexed

About

Chien‐Tai Lin is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Management Science and Operations Research. According to data from OpenAlex, Chien‐Tai Lin has authored 71 papers receiving a total of 981 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Statistics and Probability, 34 papers in Statistics, Probability and Uncertainty and 16 papers in Management Science and Operations Research. Recurrent topics in Chien‐Tai Lin's work include Statistical Distribution Estimation and Applications (43 papers), Probabilistic and Robust Engineering Design (30 papers) and Statistical Methods and Inference (13 papers). Chien‐Tai Lin is often cited by papers focused on Statistical Distribution Estimation and Applications (43 papers), Probabilistic and Robust Engineering Design (30 papers) and Statistical Methods and Inference (13 papers). Chien‐Tai Lin collaborates with scholars based in Taiwan, Canada and United States. Chien‐Tai Lin's co-authors include N. Balakrishnan, Sam J. S. Wu, Nandini Kannan, Hon Keung Tony Ng, Ping Shing Chan, Fred W. Huffer, Kwang‐Lung Lin, Chih‐Chun Tsai, N. Balakrishnan and Gang Li and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Biometrika.

In The Last Decade

Chien‐Tai Lin

63 papers receiving 924 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chien‐Tai Lin Taiwan 18 837 588 238 143 114 71 981
Arturo J. Fernández Spain 21 631 0.8× 744 1.3× 210 0.9× 83 0.6× 233 2.0× 79 950
Broderick O. Oluyede Botswana 16 805 1.0× 475 0.8× 85 0.4× 259 1.8× 94 0.8× 136 895
M.A.W. Mahmoud Egypt 12 465 0.6× 288 0.5× 201 0.8× 70 0.5× 65 0.6× 83 556
Eisa Mahmoudi Iran 16 617 0.7× 354 0.6× 110 0.5× 130 0.9× 165 1.4× 51 740
Božidar V. Popović Montenegro 10 298 0.4× 178 0.3× 53 0.2× 68 0.5× 25 0.2× 37 405
Mikhaïl Nikulin France 12 503 0.6× 335 0.6× 297 1.2× 30 0.2× 62 0.5× 42 675
Ismihan Bairamov Türkiye 17 710 0.8× 399 0.7× 263 1.1× 90 0.6× 177 1.6× 64 818
Mazen Nassar Egypt 22 1.3k 1.6× 926 1.6× 373 1.6× 265 1.9× 136 1.2× 125 1.5k
M. M. Mohie El-Din Egypt 14 509 0.6× 336 0.6× 177 0.7× 102 0.7× 96 0.8× 67 554
Abdullah M. Almarashi Saudi Arabia 14 399 0.5× 260 0.4× 84 0.4× 87 0.6× 58 0.5× 55 468

Countries citing papers authored by Chien‐Tai Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chien‐Tai Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien‐Tai Lin. 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 Chien‐Tai Lin. The network helps show where Chien‐Tai Lin may publish in the future.

Co-authorship network of co-authors of Chien‐Tai Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Chien‐Tai Lin. A scholar is included among the top collaborators of Chien‐Tai Lin 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 Chien‐Tai Lin. Chien‐Tai Lin 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.
Lin, Chien‐Tai, et al.. (2024). Optimal life-testing plans for joint progressively Type-II censored Birnbaum-Saunders distributions with compound optimal criteria. Quality Technology & Quantitative Management. 22(4). 605–630.
2.
Lin, Chien‐Tai, et al.. (2024). Reliability estimation and statistical inference under joint progressively Type-II right-censored sampling for certain lifetime distributions. Communications in Statistics - Simulation and Computation. 55(2). 541–564. 1 indexed citations
3.
Lin, Chien‐Tai, et al.. (2022). Statistical inference and optimum life-testing plans with joint progressively type-II censoring scheme. Quality Technology & Quantitative Management. 20(3). 279–306. 6 indexed citations
4.
Lin, Chien‐Tai, et al.. (2019). Inference on constant stress accelerated life tests for log-location-scale lifetime distributions with type-I hybrid censoring. Journal of Statistical Computation and Simulation. 89(4). 720–749. 21 indexed citations
5.
Tsai, Chih‐Chun & Chien‐Tai Lin. (2014). Optimal Selection of the Most Reliable Design Based on Gamma Degradation Processes. Communication in Statistics- Theory and Methods. 43(10-12). 2419–2428. 1 indexed citations
6.
Lin, Chien‐Tai, N. Balakrishnan, & Sam J. S. Wu. (2011). Planning Life Tests Based on Progressively Type-I Grouped Censored Data from the Weibull Distribution. Communications in Statistics - Simulation and Computation. 40(4). 574–595. 10 indexed citations
7.
Lin, Chien‐Tai, et al.. (2011). On progressive hybrid censored exponential distribution. Journal of Statistical Computation and Simulation. 82(5). 689–709. 50 indexed citations
8.
Lin, Chien‐Tai, et al.. (2010). Exact Bayesian variable sampling plans for the exponential distribution with progressive hybrid censoring. Journal of Statistical Computation and Simulation. 81(7). 873–882. 23 indexed citations
9.
Wen, Chi‐Chung & Chien‐Tai Lin. (2010). Analysis of Current Status Data with Missing Covariates. Biometrics. 67(3). 760–769. 5 indexed citations
10.
Li, Gang & Chien‐Tai Lin. (2009). Analysis of two-sample censored data using a semiparametric mixture model. Acta Mathematicae Applicatae Sinica English Series. 25(3). 389–398. 7 indexed citations
11.
Balakrishnan, N. & Chien‐Tai Lin. (2005). Exact inference and prediction fork-sample exponential case under type-ii censoring. Journal of Statistical Computation and Simulation. 75(5). 315–331. 4 indexed citations
12.
Lin, Chien‐Tai, Sam J. S. Wu, & N. Balakrishnan. (2004). Interval Estimation of Parameters of Log-Gamma Distribution Based on Progressively Censored Data. Communication in Statistics- Theory and Methods. 33(11). 2595–2626. 7 indexed citations
13.
Lin, Chien‐Tai & Kwang‐Lung Lin. (2004). Effects of current density and deposition time on electrical resistivity of electroplated Cu layers. Journal of Materials Science Materials in Electronics. 15(11). 757–762. 37 indexed citations
14.
Balakrishnan, N., Nandini Kannan, Chien‐Tai Lin, & Sam J. S. Wu. (2003). Inference for the extreme value distribution under progressive Type-II censoring. Journal of Statistical Computation and Simulation. 74(1). 25–45. 91 indexed citations
15.
Lin, Chien‐Tai, Sam J. S. Wu, & N. Balakrishnan. (2003). Parameter Estimation for the Linear Hazard Rate Distribution Based on Records and Inter-record Times. Communication in Statistics- Theory and Methods. 32(4). 729–748. 18 indexed citations
16.
Balakrishnan, N., et al.. (2002). Exact inference based on exponential distribution for censored and progressively censored samples. 65–68. 1 indexed citations
17.
Balakrishnan, N. & Chien‐Tai Lin. (2002). Exact linear inference and prediction for exponential distributions based on general progressively type-ii censored samples. Journal of Statistical Computation and Simulation. 72(8). 677–686. 17 indexed citations
18.
Lin, Chien‐Tai & N. Balakrishnan. (2001). Exact linear inference for scaled exponential distribution based on doubly type-ii censored samples. Journal of Statistical Computation and Simulation. 71(3). 183–199. 6 indexed citations
19.
Lin, Chien‐Tai, et al.. (2000). Estimation for the generalized pareto distribution with censored data. Communications in Statistics - Simulation and Computation. 29(4). 1183–1213. 5 indexed citations
20.
Lin, Chien‐Tai. (1993). The computation of probabilities which involve spacings, with applications to the scan statistic. 9 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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