Weining Shen

1.1k total citations
60 papers, 627 citations indexed

About

Weining Shen is a scholar working on Artificial Intelligence, Statistics and Probability and Economics and Econometrics. According to data from OpenAlex, Weining Shen has authored 60 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 20 papers in Statistics and Probability and 8 papers in Economics and Econometrics. Recurrent topics in Weining Shen's work include Statistical Methods and Inference (16 papers), Bayesian Methods and Mixture Models (14 papers) and Statistical Methods and Bayesian Inference (8 papers). Weining Shen is often cited by papers focused on Statistical Methods and Inference (16 papers), Bayesian Methods and Mixture Models (14 papers) and Statistical Methods and Bayesian Inference (8 papers). Weining Shen collaborates with scholars based in United States, China and Canada. Weining Shen's co-authors include Subhashis Ghosal, Hong Ma, Ziqing Liu, Jiandong Liu, Qian Li, Surya T. Tokdar, Joshua D. Welch, Li Wang, Jan F. Prins and Yang Zhou and has published in prestigious journals such as Nature, Circulation and Journal of the American Statistical Association.

In The Last Decade

Weining Shen

53 papers receiving 622 citations

Peers

Weining Shen
Comparison fields: 5 of 102
  • Molecular Biology 307
  • Artificial Intelligence 131
  • Statistics and Probability 122
  • Surgery 86
  • Cardiology and Cardiovascular Medicine 52
Replace Sebastian Pölsterl with:
Sebastian Pölsterl Germany
Masao Ueki Japan
Wenjian Bi China
Jiangwen Sun United States
Xiao Lei Zhang China
M.C.K. Yang United States
Tobias Boskamp Germany
Abedalrhman Alkhateeb Canada
Shiquan Sun China
Il‐Youp Kwak South Korea
Sebastian Pölsterl Germany View profile →
Citations per field, relative to Weining Shen
Weining Shen · 1×
Citations per year, relative to Weining Shen
Weining Shen · 1×

Countries citing papers authored by Weining Shen

Since Specialization
Citations

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

Fields of papers citing papers by Weining Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weining Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Weining Shen. A scholar is included among the top collaborators of Weining Shen 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 Weining Shen. Weining Shen 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 0
2 0
3 0
4 3
5 2
6 11
7 14
8 9
9 8
10 10
11 4
12 10
13 13
14
Finite Mixtures of ERGMs for Ensembles of Networks
1
15 104
16
Outlier Detection and Robust Estimation in Nonparametric Regression
2
17 2
18
Asymptotically optimal empirical Bayes inference in a piecewise constant sequence model
2
19
Evolutionary State-Space Model and Its Application to Time-Frequency\n Analysis of Local Field Potentials
20
20 163

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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