Yuting Wei
Impact in
- Atmospheric Science top 10%
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
-
- Air Quality and Health Impacts
Papers in
-
- Statistical Methods and Inference 14
- Advanced Statistical Methods and Models 6
-
- Atmospheric chemistry and aerosols 13
- Co-authors
- D. J. Durian (2 shared papers)Guoliang Shi (14 shared papers)Yinchang Feng (13 shared papers)Jie Gao (10 shared papers)Yeqiang Tan (3 shared papers)Hua Yuan (3 shared papers)Martin J. Wainwright (6 shared papers)Zhongcheng Zhang (3 shared papers)
- Journals
- IEEE Transactions on Information Theory (4 papers)The Annals of Statistics (4 papers)Atmospheric Environment (2 papers)Journal of Material Science and Technology (2 papers)Operations Research (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Yuting Wei
66 papers receiving 706 citations
Peers
Comparison fields: 5 of 128
- Atmospheric Science 157
- Health, Toxicology and Mutagenesis 108
- Statistics and Probability 59
- Computational Mathematics 4
- Environmental Engineering 89
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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 43 | |
| 2 | 2022 | 43 | |
| 3 | 2020 | 40 | |
| 4 | 2013 | 35 | |
| 5 | 2022 | 32 | |
| 6 | 2023 | 31 | |
| 7 | 2023 | 25 | |
| 8 | 2023 | 22 | |
| 9 | 2014 | 22 | |
| 10 | 2020 | 21 | |
| 11 | 2024 | 19 | |
| 12 | 2022 | 18 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 15 | |
| 15 | 2023 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2021 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 2019 | 13 | |
| 20 | 2022 | 11 |
About Yuting Wei
Yuting Wei is a scholar working on Statistics and Probability, Atmospheric Science, Health, Toxicology and Mutagenesis, Artificial Intelligence and Environmental Engineering, having authored 72 papers that have together received 714 indexed citations. Recurring topics across this work include Statistical Methods and Inference (14 papers), Atmospheric chemistry and aerosols (13 papers), Air Quality and Health Impacts (9 papers), Air Quality Monitoring and Forecasting (8 papers), Advanced Statistical Methods and Models (6 papers), Sparse and Compressive Sensing Techniques (4 papers), Reinforcement Learning in Robotics (4 papers) and Polyoxometalates: Synthesis and Applications (4 papers). The work is most often cited by research in Atmospheric Science (157 citations), Health, Toxicology and Mutagenesis (108 citations), Statistics and Probability (59 citations), Computational Mathematics (4 citations) and Environmental Engineering (89 citations). Yuting Wei has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include D. J. Durian, Guoliang Shi, Yinchang Feng, Jie Gao, Yeqiang Tan, Hua Yuan, Martin J. Wainwright, Zhongcheng Zhang, Haofei Yu and Danni Liang. Their work appears in journals such as IEEE Transactions on Information Theory, The Annals of Statistics, Atmospheric Environment, Journal of Material Science and Technology and Operations Research.
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.