Naijun Sha

1.2k total citations
26 papers, 792 citations indexed

About

Naijun Sha is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Naijun Sha has authored 26 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Statistics and Probability, 9 papers in Statistics, Probability and Uncertainty and 8 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Naijun Sha's work include Statistical Distribution Estimation and Applications (13 papers), Reliability and Maintenance Optimization (8 papers) and Probabilistic and Robust Engineering Design (7 papers). Naijun Sha is often cited by papers focused on Statistical Distribution Estimation and Applications (13 papers), Reliability and Maintenance Optimization (8 papers) and Probabilistic and Robust Engineering Design (7 papers). Naijun Sha collaborates with scholars based in United States, China and United Kingdom. Naijun Sha's co-authors include Marina Vannucci, Mahlet G. Tadesse, Bani K. Mallick, Edward R. Dougherty, Philip J. Brown, Rong Pan, Francesco Falciani, Christopher D. Buckley, Mike Salmon and I. Dragoni and has published in prestigious journals such as Journal of the American Statistical Association, Bioinformatics and Biometrics.

In The Last Decade

Naijun Sha

24 papers receiving 755 citations

Peers

Naijun Sha
Chris Hans United States
Baoxue Zhang China
Hojin Moon United States
Xiangrong Yin United States
Céline Lévy‐Leduc France
Fengrong Wei United States
Jacek Koronacki Poland
José R. Berrendero Spain
Chris Hans United States
Naijun Sha
Citations per year, relative to Naijun Sha Naijun Sha (= 1×) peers Chris Hans

Countries citing papers authored by Naijun Sha

Since Specialization
Citations

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

Fields of papers citing papers by Naijun Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naijun Sha. 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 Naijun Sha. The network helps show where Naijun Sha may publish in the future.

Co-authorship network of co-authors of Naijun Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Naijun Sha. A scholar is included among the top collaborators of Naijun Sha 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 Naijun Sha. Naijun Sha 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.
Sha, Naijun. (2023). Classical and Bayesian inference for an extended generalized Birnbaum-Saunders distribution. Communications in Statistics - Simulation and Computation. 52(11). 5615–5632. 1 indexed citations
2.
Sha, Naijun. (2021). A Copula Approach of Reliability Analysis for Hybrid Systems. CyberLeninK (CyberLeninka). 16. 1 indexed citations
3.
Sha, Naijun, et al.. (2019). A Bayes Inference for Ordinal Response with Latent Variable Approach. Stats. 2(2). 321–331. 4 indexed citations
4.
5.
6.
Borbón, Manuel Iván Rodríguez, et al.. (2017). Reliability Estimation for Accelerated Life Tests Based on a Cox Proportional Hazard Model with Error Effect. Quality and Reliability Engineering International. 33(7). 1407–1416. 12 indexed citations
7.
Sha, Naijun, et al.. (2016). A new mixed bivariate geometric-exponential life distribution with applications to series systems. Journal of Statistical Computation and Simulation. 87(2). 250–266. 3 indexed citations
8.
Sha, Naijun, et al.. (2014). Statistical Analysis of a Weibull Extension with Bathtub-Shaped Failure Rate Function. 2014. 1–15. 9 indexed citations
9.
Sha, Naijun, et al.. (2013). The Characterizations of Discrete Life Distribution Class with Relation to Geometric Distribution. Journal of Statistics Applications & Probability. 2(2). 91–101. 1 indexed citations
10.
Pan, Rong, et al.. (2012). On Parameter Inference for Step-Stress Accelerated Life Test with Geometric Distribution. Communication in Statistics- Theory and Methods. 41(10). 1796–1812. 5 indexed citations
11.
Sha, Naijun, et al.. (2012). Comparison Analysis of Efficiency for Step-Down and Step-Up Stress Accelerated Life Testing. IEEE Transactions on Reliability. 61(2). 590–603. 12 indexed citations
12.
Kwon, Deukwoo, Mahlet G. Tadesse, Naijun Sha, Ruth M. Pfeiffer, & Marina Vannucci. (2007). Identifying Biomarkers from Mass Spectrometry Data with Ordinal Outcome. Cancer Informatics. 3. 2816855308–2816855308. 12 indexed citations
13.
Sha, Naijun. (2007). Discussion of “Gaussian process regression for multivariate spectroscopic calibration”. Chemometrics and Intelligent Laboratory Systems. 87(1). 67–68. 4 indexed citations
14.
Sha, Naijun, Mahlet G. Tadesse, & Marina Vannucci. (2006). Bayesian variable selection for the analysis of microarray data with censored outcomes. Bioinformatics. 22(18). 2262–2268. 64 indexed citations
15.
Vannucci, Marina, Naijun Sha, & Philip J. Brown. (2005). NIR and mass spectra classification: Bayesian methods for wavelet-based feature selection. Chemometrics and Intelligent Laboratory Systems. 77(1-2). 139–148. 43 indexed citations
16.
Tadesse, Mahlet G., Naijun Sha, & Marina Vannucci. (2005). Bayesian Variable Selection in Clustering High-Dimensional Data. Journal of the American Statistical Association. 100(470). 602–617. 155 indexed citations
17.
Liang, Hua & Naijun Sha. (2004). Modeling antitumor activity by using a non-linear mixed-effects model. Mathematical Biosciences. 189(1). 61–73. 16 indexed citations
18.
Sha, Naijun, Marina Vannucci, Mahlet G. Tadesse, et al.. (2004). Bayesian Variable Selection in Multinomial Probit Models to Identify Molecular Signatures of Disease Stage. Biometrics. 60(3). 812–819. 90 indexed citations
19.
Sha, Naijun, et al.. (2003). Gene selection in arthritis classification with large‐scale microarray expression profiles. Comparative and Functional Genomics. 4(2). 171–181. 15 indexed citations
20.
Sha, Naijun, et al.. (2002). Gene selection: a Bayesian variable selection approach. Bioinformatics. 19(1). 90–97. 257 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Chris Hans Breakdown of academic impact, for papers by Baoxue Zhang Breakdown of academic impact, for papers by Hojin Moon Breakdown of academic impact, for papers by Xiangrong Yin Breakdown of academic impact, for papers by Céline Lévy‐Leduc Breakdown of academic impact, for papers by Fengrong Wei Breakdown of academic impact, for papers by Jacek Koronacki Breakdown of academic impact, for papers by José R. Berrendero
Rankless by CCL
2026