Bo‐Cheng Wei

1.1k total citations
56 papers, 726 citations indexed

About

Bo‐Cheng Wei is a scholar working on Statistics and Probability, Management Science and Operations Research and Finance. According to data from OpenAlex, Bo‐Cheng Wei has authored 56 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Statistics and Probability, 8 papers in Management Science and Operations Research and 7 papers in Finance. Recurrent topics in Bo‐Cheng Wei's work include Advanced Statistical Methods and Models (24 papers), Statistical Methods and Bayesian Inference (20 papers) and Statistical Distribution Estimation and Applications (19 papers). Bo‐Cheng Wei is often cited by papers focused on Advanced Statistical Methods and Models (24 papers), Statistical Methods and Bayesian Inference (20 papers) and Statistical Distribution Estimation and Applications (19 papers). Bo‐Cheng Wei collaborates with scholars based in China, Bangladesh and Hong Kong. Bo‐Cheng Wei's co-authors include Feng‐Chang Xie, Jin‐Guan Lin, Wing–Kam Fung, Yue‐Qing Hu, Niansheng Tang, Xueren Wang, Xin Wang, Yan Zhang, Jun Wang and Chuyan Wang and has published in prestigious journals such as Biometrika, Frontiers in Microbiology and Statistics in Medicine.

In The Last Decade

Bo‐Cheng Wei

52 papers receiving 707 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bo‐Cheng Wei China 16 583 139 93 78 45 56 726
Sudhir Gupta United States 9 412 0.7× 72 0.5× 216 2.3× 81 1.0× 31 0.7× 40 706
Graciela Boente Argentina 18 964 1.7× 218 1.6× 83 0.9× 308 3.9× 24 0.5× 86 1.2k
Tõnu Kollo Estonia 10 323 0.6× 136 1.0× 41 0.4× 50 0.6× 18 0.4× 25 576
Chien‐Pai Han United States 10 334 0.6× 86 0.6× 48 0.5× 81 1.0× 16 0.4× 54 546
J. Miguel Marín Spain 11 186 0.3× 101 0.7× 30 0.3× 31 0.4× 15 0.3× 27 410
Martin Bilodeau Canada 9 239 0.4× 78 0.6× 42 0.5× 44 0.6× 16 0.4× 26 441
Wing–Kam Fung Hong Kong 13 358 0.6× 47 0.3× 50 0.5× 104 1.3× 30 0.7× 28 482
Brenton R. Clarke Australia 13 245 0.4× 50 0.4× 28 0.3× 119 1.5× 19 0.4× 56 462
Ryan P. Browne Canada 12 301 0.5× 442 3.2× 29 0.3× 46 0.6× 9 0.2× 48 599
J. Kleffe Germany 11 270 0.5× 63 0.5× 87 0.9× 58 0.7× 38 0.8× 35 504

Countries citing papers authored by Bo‐Cheng Wei

Since Specialization
Citations

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

Fields of papers citing papers by Bo‐Cheng Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bo‐Cheng Wei. 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 Bo‐Cheng Wei. The network helps show where Bo‐Cheng Wei may publish in the future.

Co-authorship network of co-authors of Bo‐Cheng Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Bo‐Cheng Wei. A scholar is included among the top collaborators of Bo‐Cheng Wei 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 Bo‐Cheng Wei. Bo‐Cheng Wei 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.
Wang, Jun, et al.. (2023). Non‐volatile and volatile compound changes in blueberry juice inoculated with different lactic acid bacteria strains. Journal of the Science of Food and Agriculture. 104(5). 2587–2596. 10 indexed citations
2.
3.
Xie, Feng‐Chang, Jin‐Guan Lin, & Bo‐Cheng Wei. (2015). Score test for homogeneity of dispersion in generalized Poisson mixed models with excess zeros. Communications in Statistics - Simulation and Computation. 46(1). 301–314. 4 indexed citations
4.
Xie, Feng‐Chang, Jin‐Guan Lin, & Bo‐Cheng Wei. (2010). Testing for varying zero-inflation and dispersion in generalized Poisson regression models. Journal of Applied Statistics. 37(9). 1509–1522. 5 indexed citations
5.
Lin, Jin‐Guan, Feng‐Chang Xie, & Bo‐Cheng Wei. (2009). Statistical Diagnostics for Skew-t-Normal Nonlinear Models. Communications in Statistics - Simulation and Computation. 38(10). 2096–2110. 18 indexed citations
6.
Xie, Feng‐Chang, Bo‐Cheng Wei, & Jin‐Guan Lin. (2009). Score tests for zero-inflated generalized Poisson mixed regression models. Computational Statistics & Data Analysis. 53(9). 3478–3489. 26 indexed citations
7.
Xie, Feng‐Chang, Bo‐Cheng Wei, & Jin‐Guan Lin. (2008). Assessing influence for pharmaceutical data in zero‐inflated generalized Poisson mixed models. Statistics in Medicine. 27(18). 3656–3673. 17 indexed citations
8.
Lin, Jin‐Guan & Bo‐Cheng Wei. (2007). Testing for Heteroscedasticity and/or Autocorrelation in Longitudinal Mixed Effect Nonlinear Models with AR(1) Errors. Communication in Statistics- Theory and Methods. 36(3). 567–586. 6 indexed citations
9.
Wei, Bo‐Cheng. (2007). Influence analysis of LAD regression based on MM algorithm. 1 indexed citations
10.
Xie, Feng‐Chang, Bo‐Cheng Wei, & Jin‐Guan Lin. (2007). Case-deletion Influence Measures for the Data from Multivariate t Distributions. Journal of Applied Statistics. 34(8). 907–921. 6 indexed citations
11.
Lin, Jin‐Guan & Bo‐Cheng Wei. (2004). Testing for Heteroscedasticity and/or Correlation in Nonlinear Models with Correlated Errors. Communication in Statistics- Theory and Methods. 33(2). 251–275. 10 indexed citations
12.
Fung, Wing–Kam, et al.. (2003). On Estimation and Influence Diagnostics in Linear Mixed Measurement Error Models. American Journal of Mathematical and Management Sciences. 23(1-2). 37–59. 12 indexed citations
13.
Wei, Bo‐Cheng, et al.. (2003). Testing of Homogeneity for Correlation and Variance in Nonlinear Regression Models with DBL( p , 0, 1) Random Errors. Communication in Statistics- Theory and Methods. 32(12). 2441–2463. 2 indexed citations
14.
Lin, Jin‐Guan, et al.. (2003). Testing for varying dispersion in discrete exponential family nonlinear models. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao. 18(3). 294–302. 1 indexed citations
15.
Zhao, Jun, et al.. (2003). INFLUENCE ANALYSIS ON EXPONENTIAL NONLINEAR MODELS WITH RANDOM EFFECTS. Acta Mathematica Scientia. 23(3). 297–308. 1 indexed citations
16.
Tang, Niansheng, Bo‐Cheng Wei, & Xueren Wang. (2001). LOCAL INFLUENCE IN NONLINEAR REPRODUCTIVE DISPERSION MODELS. Communication in Statistics- Theory and Methods. 30(3). 435–449. 7 indexed citations
17.
Wei, Bo‐Cheng, et al.. (2000). Influence Analysis for Linear Measurement Error Models. Annals of the Institute of Statistical Mathematics. 52(2). 367–379. 19 indexed citations
18.
Wei, Bo‐Cheng. (1995). Geometry of exponential family nonlinear models and some asymptotic inference. 中国科学A辑(英文版). 1 indexed citations
19.
Wei, Bo‐Cheng, et al.. (1994). On statistical models for regression diagnostics. Annals of the Institute of Statistical Mathematics. 46(2). 267–278. 16 indexed citations
20.
Wei, Bo‐Cheng. (1991). SOME SECOND ORDER ASYMPTOTICS IN NONLINEAR REGRESSION. Australian Journal of Statistics. 33(1). 75–84.

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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