Weining Shen
Impact in
- Computational Mathematics top 10%
- Tensor decomposition and applications
- Statistics and Probability top 5%
- Statistical Methods and Inference
Papers in
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- Statistical Methods and Inference 6
- Advanced Causal Inference Techniques 3
- Statistical Methods in Clinical Trials 2
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- Bayesian Methods and Mixture Models 10
- Topic Modeling 3
- Co-authors
- Subhashis Ghosal B (3 shared papers)Surya T. Tokdar (1 shared paper)Jiandong Liu (3 shared papers)Li Qian (3 shared papers)Ziqing Liu (3 shared papers)Hong Ma (3 shared papers)Joshua D. Welch (2 shared papers)Li Wang (2 shared papers)
- Journals
- Biometrics (6 papers)Bayesian Analysis (2 papers)Scandinavian Journal of Statistics (2 papers)Journal of Computational and Graphical Statistics (2 papers)Journal of the American Statistical Association (2 papers)
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Weining Shen
55 papers receiving 725 citations
Peers
Comparison fields: 5 of 56
- Computational Mathematics 12
- Statistics and Probability 63
- Molecular Biology 231
- Artificial Intelligence 81
- Biological Psychiatry 1
Countries citing papers authored by Weining Shen
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
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.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 179 | |
| 2 | 2019 | 112 | |
| 3 | 2013 | 81 | |
| 4 | 2015 | 49 | |
| 5 | 2019 | 42 | |
| 6 | Evolutionary State-Space Model and Its Application to Time-Frequency\n Analysis of Local Field Potentials | 2017 | 19 |
| 7 | 2019 | 18 | |
| 8 | 2020 | 18 | |
| 9 | 2021 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2015 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2023 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2020 | 11 | |
| 16 | 2022 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2018 | 8 | |
| 20 | 2021 | 6 |
About Weining Shen
Weining Shen is a scholar working on Statistics and Probability, Artificial Intelligence, Endocrinology, Diabetes and Metabolism, Oncology and Economics and Econometrics, having authored 62 papers that have together received 734 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (10 papers), Statistical Methods and Inference (6 papers), Advanced Causal Inference Techniques (3 papers), Topic Modeling (3 papers), Pluripotent Stem Cells Research (2 papers), Diabetes Treatment and Management (2 papers), Sports Analytics and Performance (2 papers) and Statistical Methods in Clinical Trials (2 papers). The work is most often cited by research in Computational Mathematics (12 citations), Statistics and Probability (63 citations), Molecular Biology (231 citations), Artificial Intelligence (81 citations) and Biological Psychiatry (1 citation). Weining Shen has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include Subhashis Ghosal B, Surya T. Tokdar, Jiandong Liu, Li Qian, Ziqing Liu, Hong Ma, Joshua D. Welch, Li Wang, Jan F. Prins and Yang Zhou. Their work appears in journals such as Biometrics, Bayesian Analysis, Scandinavian Journal of Statistics, Journal of Computational and Graphical Statistics and Journal of the American Statistical Association.
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.