Yuting Wei
Impact in
- Atmospheric Science top 10%
- Atmospheric chemistry and aerosols
- Statistics and Probability top 5%
- Statistical Methods and Inference
Papers in
-
- Statistical Methods and Inference 15
- Probability and Statistical Research 2
-
- Atmospheric chemistry and aerosols 12
- Co-authors
- Yuxin Chen (6 shared papers)Guo-Liang Shi (12 shared papers)Yinchang Feng (11 shared papers)Yuejie Chi (6 shared papers)Yeqiang Tan (3 shared papers)Hua Tang Yuan (3 shared papers)Jie Gao (7 shared papers)Martin J. Wainwright (6 shared papers)
- Journals
- IEEE Transactions on Information Theory (5 papers)The Annals of Statistics (4 papers)Operations Research (3 papers)The Science of The Total Environment (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yuting Wei
59 papers receiving 726 citations
Peers
Comparison fields: 5 of 107
- Atmospheric Science 136
- Statistics and Probability 94
- Computational Mathematics 2
- Artificial Intelligence 81
- Environmental Engineering 23
Countries citing papers authored by Yuting Wei
This map shows the geographic impact of Yuting 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 Yuting Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Wei more than expected).
Fields of papers citing papers by Yuting Wei
This network shows the impact of papers produced by Yuting 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 Yuting Wei. The network helps show where Yuting Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Wei, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 56 | |
| 2 | 2022 | 48 | |
| 3 | 2021 | 38 | |
| 4 | 2022 | 37 | |
| 5 | 2023 | 34 | |
| 6 | 2023 | 28 | |
| 7 | 2023 | 27 | |
| 8 | 2024 | 27 | |
| 9 | 2023 | 26 | |
| 10 | 2014 | 23 | |
| 11 | 2020 | 21 | |
| 12 | 2021 | 20 | |
| 13 | 2022 | 19 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 18 | |
| 16 | 2023 | 17 | |
| 17 | 2019 | 16 | |
| 18 | 2023 | 16 | |
| 19 | 2024 | 14 | |
| 20 | 2024 | 13 |
About Yuting Wei
Yuting Wei is a scholar working on Statistics and Probability, Atmospheric Science, Artificial Intelligence, Obstetrics and Gynecology and Oncology, having authored 70 papers that have together received 738 indexed citations. Recurring topics across this work include Statistical Methods and Inference (15 papers), Atmospheric chemistry and aerosols (12 papers), Reinforcement Learning in Robotics (6 papers), Single-cell and spatial transcriptomics (3 papers), Polyoxometalates: Synthesis and Applications (3 papers), Advanced Battery Materials and Technologies (2 papers), Probability and Statistical Research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Atmospheric Science (136 citations), Statistics and Probability (94 citations), Computational Mathematics (2 citations), Artificial Intelligence (81 citations) and Environmental Engineering (23 citations). Yuting Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuxin Chen, Guo-Liang Shi, Yinchang Feng, Yuejie Chi, Yeqiang Tan, Hua Tang Yuan, Jie Gao, Martin J. Wainwright, Douglas J. Durian and Andrea Montanari A. Their work appears in journals such as IEEE Transactions on Information Theory, The Annals of Statistics, Operations Research, The Science of The Total Environment and Proceedings of the National Academy of Sciences.
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.