Weining Shen

1.1k citations
62 papers · 650 · h-index 12

Impact in

Papers in

    • Bayesian Methods and Mixture Models 14
    • Gaussian Processes and Bayesian Inference 5
    • Statistical Methods and Inference 16
    • Statistical Methods and Bayesian Inference 8
    • Statistical Methods in Clinical Trials 5
    • Advanced Causal Inference Techniques 4

Weining Shen

55 papers receiving 646 citations

Peers

Weining Shen
Comparison fields: 5 of 101
  • Computational Mathematics 15
  • Statistics and Probability 122
  • Molecular Biology 296
  • Artificial Intelligence 133
  • Cardiology and Cardiovascular Medicine 44
Replace Xiao Lei Zhang with:
Xiao Lei Zhang China
Masao Ueki Japan
Sebastian Pölsterl Germany
Nicolas Städler Switzerland
Dániel András Drexler Hungary
M.C.K. Yang United States
Tobias Boskamp Germany
Xiuquan Du China
Il‐Youp Kwak South Korea
F. W. Samuelson United States
Weining Shen relative to Xiao Lei Zhang China Xiao Lei Zhang's profile →
Citations per field
00.5×5.8×
Xiao Lei Zhang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Weining Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Weining Shen Line = papers co-authored together Weining Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017166
2 2019107
3 201369
4 201934
5 201529
6
Evolutionary State-Space Model and Its Application to Time-Frequency\n Analysis of Local Field Potentials
201720
7 202218
8 202018
9 201917
10 202114
11 201513
12 202211
13 202011
14 202311
15 202210
16 202110
17 202110
18 20188
19 20215
20 20245

About Weining Shen

Weining Shen is a scholar working on Artificial Intelligence, Statistics and Probability, Economics and Econometrics, Signal Processing and Computer Vision and Pattern Recognition, having authored 62 papers that have together received 650 indexed citations. Recurring topics across this work include Statistical Methods and Inference (16 papers), Bayesian Methods and Mixture Models (14 papers), Statistical Methods and Bayesian Inference (8 papers), Blind Source Separation Techniques (5 papers), Gaussian Processes and Bayesian Inference (5 papers), Statistical Methods in Clinical Trials (5 papers), Sports Analytics and Performance (4 papers) and Advanced Causal Inference Techniques (4 papers). The work is most often cited by research in Computational Mathematics (15 citations), Statistics and Probability (122 citations), Molecular Biology (296 citations), Artificial Intelligence (133 citations) and Cardiology and Cardiovascular Medicine (44 citations). Weining Shen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Subhashis Ghosal, Ziqing Liu, Hong Ma, Qian Li, Jiandong Liu, Surya T. Tokdar, Jan F. Prins, Li Wang, Yang Zhou and Joshua D. Welch. Their work appears in journals such as Biometrics, Statistics in Medicine, Journal of Computational and Graphical Statistics, Journal of the American Statistical Association and Bayesian Analysis.

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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