Weichen Wang
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Random Matrices and Applications
- Advanced Statistical Methods and Models
- Statistical Methods and Bayesian Inference
Papers in ⓘ
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- Statistical Methods and Inference 6
- Statistical Methods and Bayesian Inference 4
- Advanced Statistical Methods and Models 4
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- RNA modifications and cancer 2
- Co-authors
- Jianqing Fan (9 shared papers)Yiqiao Zhong (2 shared papers)Han Liu (1 shared paper)Ziwei Zhu (2 shared papers)Xuegong Zhang (2 shared papers)Maoyu Wang (1 shared paper)Peipei Gong (2 shared papers)Bing Wu (2 shared papers)
- Journals
- The Annals of Statistics (3 papers)Journal of Econometrics (2 papers)Chinese Journal of Chemistry (1 paper)Gene (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Weichen Wang
20 papers receiving 455 citations
Peers
Comparison fields: 5 of 87
- Statistics and Probability 162
- Computational Mathematics 6
- Finance 57
- Cancer Research 60
- Signal Processing 35
Countries citing papers authored by Weichen Wang
This map shows the geographic impact of Weichen 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 Weichen Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weichen Wang more than expected).
Fields of papers citing papers by Weichen Wang
This network shows the impact of papers produced by Weichen 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 Weichen Wang. The network helps show where Weichen Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Weichen Wang, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 98 | |
| 2 | 2022 | 76 | |
| 3 | 2015 | 55 | |
| 4 | 2018 | 47 | |
| 5 | 2012 | 41 | |
| 6 | 2018 | 39 | |
| 7 | 2021 | 39 | |
| 8 | An | 2018 | 13 |
| 9 | 2021 | 10 | |
| 10 | 2025 | 7 | |
| 11 | [Two novel EIF2AK3 mutations in a Chinese boy with Wolcott-Rallison syndrome]. | 2011 | 7 |
| 12 | 2018 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2011 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2014 | 5 | |
| 17 | 2024 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2023 | 1 |
About Weichen Wang
Weichen Wang is a scholar working on Statistics and Probability, Molecular Biology, Artificial Intelligence, Genetics and Cancer Research, having authored 22 papers that have together received 466 indexed citations. Recurring topics across this work include Statistical Methods and Inference (6 papers), Statistical Methods and Bayesian Inference (4 papers), Advanced Statistical Methods and Models (4 papers), MicroRNA in disease regulation (2 papers), Neural Networks and Applications (2 papers), Ferroptosis and cancer prognosis (2 papers), RNA modifications and cancer (2 papers) and Sparse and Compressive Sensing Techniques (2 papers). The work is most often cited by research in Statistics and Probability (162 citations), Computational Mathematics (6 citations), Finance (57 citations), Cancer Research (60 citations) and Signal Processing (35 citations). Weichen Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianqing Fan, Yiqiao Zhong, Han Liu, Ziwei Zhu, Xuegong Zhang, Maoyu Wang, Peipei Gong, Bing Wu, Zhixing Feng and Xi Wang. Their work appears in journals such as The Annals of Statistics, Journal of Econometrics, Chinese Journal of Chemistry, Gene and Frontiers in Immunology.
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.