Weijing Wang

922 total citations
27 papers, 634 citations indexed

About

Weijing Wang is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Weijing Wang has authored 27 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Statistics and Probability, 6 papers in Finance and 3 papers in Artificial Intelligence. Recurrent topics in Weijing Wang's work include Statistical Methods and Inference (21 papers), Statistical Methods and Bayesian Inference (12 papers) and Statistical Distribution Estimation and Applications (10 papers). Weijing Wang is often cited by papers focused on Statistical Methods and Inference (21 papers), Statistical Methods and Bayesian Inference (12 papers) and Statistical Distribution Estimation and Applications (10 papers). Weijing Wang collaborates with scholars based in Taiwan, United States and Canada. Weijing Wang's co-authors include Martin T. Wells, Takeshi Emura, A. Adam Ding, Chien‐Wei Lin, Hui-Nien Hung, Quang Vuong, Bowen Li, Johanna Nešlehová, Yi‐Hau Chen and Zhicheng Xu and has published in prestigious journals such as Journal of the American Statistical Association, Biometrics and Biometrika.

In The Last Decade

Weijing Wang

26 papers receiving 614 citations

Peers

Countries citing papers authored by Weijing Wang

Since Specialization

Citations

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

Fields of papers citing papers by Weijing Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijing Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Weijing Wang. A scholar is included among the top collaborators of Weijing Wang 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 Weijing Wang. Weijing Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Estimand-based inference in the presence of long-term survivors 2025 ·Statistical Methods in Medical Research ·(unknown), Weijing Wang, Martin T. Wells	1
2	Identification of telomere maintenance-driven molecular subtypes in hepatocellular carcinoma: implications for prognosis and targeted therapy via KPNA2 2025 ·Discover Oncology ·Zhicheng Xu, (unknown), (unknown), Weijing Wang, (unknown)	0
3	Two‐sample inference procedures under nonproportional hazards 2023 ·Pharmaceutical Statistics ·(unknown), Weijing Wang, Martin T. Wells	1
4	A copula-based Markov chain model for serially dependent event times with a dependent terminal event 2020 ·Japanese Journal of Statistics and Data Science ·(unknown), Weijing Wang, Takeshi Emura	13
5	Modelling hierarchical clustered censored data with the hierarchical Kendall copula 2019 ·Canadian Journal of Statistics ·(unknown), Johanna Nešlehová, Weijing Wang	2
6	Local linear estimation of concordance probability with application to covariate effects models on association for bivariate failure-time data 2013 ·Lifetime Data Analysis ·A. Adam Ding, (unknown), Weijing Wang	2
7	Quantile Regression Based on Semi-Competing Risks Data 2013 ·Open Journal of Statistics ·(unknown), A. Adam Ding, Weijing Wang, (unknown)	6
8	Nonparametric maximum likelihood estimation for dependent truncation data based on copulas 2012 ·Journal of Multivariate Analysis ·Takeshi Emura, Weijing Wang	19
9	Comments on: Inference in multivariate Archimedean copula models 2011 ·Test ·Weijing Wang, Takeshi Emura	2
10	Regression Analysis for Recurrent Events Data under Dependent Censoring 2010 ·Biometrics ·(unknown), A. Adam Ding, Weijing Wang	7
11	A goodness-of-fit test for Archimedean copula models in the presence of right censoring 2010 ·Computational Statistics & Data Analysis ·Takeshi Emura, Chien‐Wei Lin, Weijing Wang	15
12	Testing quasi-independence for truncation data 2009 ·Journal of Multivariate Analysis ·Takeshi Emura, Weijing Wang	20
13	Regression Analysis Based on Semicompeting Risks Data 2007 ·Journal of the Royal Statistical Society Series B (Statistical Methodology) ·(unknown), Weijing Wang, A. Adam Ding	53
14	Nonparametric Estimation of the Sojourn Time Distributions for a Multipath Model 2003 ·Journal of the Royal Statistical Society Series B (Statistical Methodology) ·Weijing Wang	10
15	Model Selection and Semiparametric Inference for Bivariate Failure-Time Data 2000 ·Journal of the American Statistical Association ·Weijing Wang, Martin T. Wells	170
16	Estimation of Kendall's tau under censoring 2000 ·Statistica Sinica ·Weijing Wang, Martin T. Wells	43
17	Model Selection and Semiparametric Inference for Bivariate Failure-Time Data 2000 ·Journal of the American Statistical Association ·Weijing Wang, Martin T. Wells	35
18	On assessing the association for bivariate current status data 2000 ·Biometrika ·Weijing Wang	56
19	Nonparametric estimation of successive duration times under dependent censoring 1998 ·Biometrika ·Weijing Wang	63
20	Selecting Estimated Models Using Chi-Square Statistics: INRA--Toulouse 1993 ·Annals of Economics and Statistics ·Quang Vuong, Weijing Wang	1

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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