Ying Wei

7.0k total citations · 1 hit paper
131 papers, 4.6k citations indexed

About

Ying Wei is a scholar working on Statistics and Probability, Oncology and Molecular Biology. According to data from OpenAlex, Ying Wei has authored 131 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Statistics and Probability, 21 papers in Oncology and 19 papers in Molecular Biology. Recurrent topics in Ying Wei's work include Statistical Methods and Inference (24 papers), Statistical Methods and Bayesian Inference (16 papers) and Birth, Development, and Health (13 papers). Ying Wei is often cited by papers focused on Statistical Methods and Inference (24 papers), Statistical Methods and Bayesian Inference (16 papers) and Birth, Development, and Health (13 papers). Ying Wei collaborates with scholars based in United States, China and Hong Kong. Ying Wei's co-authors include Yonghua Chen, Yang Yang, Yingtian Li, Sanja Jelić, Mary Beth Terry, Xuming He, Roger Koenker, Yonghua Chen, Xuming He and Yang Yang and has published in prestigious journals such as JAMA, Journal of the American Statistical Association and Blood.

In The Last Decade

Ying Wei

125 papers receiving 4.4k citations

Hit Papers

Association Between Treated and Untreated Obstructive Sle... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers

Ying Wei
Comparison fields: 5 of 194
  • Biomedical Engineering 1.0k
  • Physiology 764
  • Molecular Biology 613
  • Mechanical Engineering 521
  • Statistics and Probability 508
Replace Yong Chen with:
Yong Chen United States
Valentin Rousson Switzerland
Bin Wang China
Jonas Ranstam Sweden
Andrew Martin Australia
Maurizio Guida Italy
Lin Shi China
Dong Ki Kim South Korea
Hwa Jung Kim South Korea
Alan Murray United Kingdom
Yong Chen United States View profile →
Citations per field, relative to Ying Wei
Ying Wei · 1×
Citations per year, relative to Ying Wei
Ying Wei · 1×

Countries citing papers authored by Ying Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ying Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Wei. A scholar is included among the top collaborators of Ying 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 Ying Wei. Ying 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
# Work Indexed citations
1 1
2 15
3 25
4 2
5 5
6 32
7 17
8 4
9
Uniformly valid post-regularization confidence regions for many functional parameters in z-estimation framework
1
10 32
11 49
12 22
13 11
14 4
15
Honest Confidence Regions for Logistic Regression with a Large Number of Controls
6
16 22
17 18
18 44
19 56
20
Computational Issues for Quantile Regression
38

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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