Ying‐Hsuan Lin
- Health, Toxicology and Mutagenesis top 0.2%
- Air Quality and Health Impacts 52
- Indoor Air Quality and Microbial Exposure 12
- Atmospheric Science top 0.5%
- Atmospheric chemistry and aerosols 65
- Atmospheric Ozone and Climate 29
- Environmental Engineering top 1%
- Air Quality Monitoring and Forecasting 20
- Global and Planetary Change top 2%
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- Vehicle emissions and performance 8
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- Planetary Science and Exploration 7
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- Pesticide Exposure and Toxicity 6
- Co-authors
- Jason D. SurrattAvram GoldRodney J. WeberXiaolu ZhangZhenfa ZhangHaofei ZhangJin Y. ChenSri Hapsari Budisulistiorini
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Environmental Science & Technology (13 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Ying‐Hsuan Lin
130 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 146
- Health, Toxicology and Mutagenesis 2.9k
- Atmospheric Science 3.2k
- Environmental Engineering 689
- Global and Planetary Change 828
- Process Chemistry and Technology 98
Countries citing papers authored by Ying‐Hsuan Lin
This map shows the geographic impact of Ying‐Hsuan Lin'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 Ying‐Hsuan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Hsuan Lin more than expected).
Fields of papers citing papers by Ying‐Hsuan Lin
This network shows the impact of papers produced by Ying‐Hsuan Lin. 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 Ying‐Hsuan Lin. The network helps show where Ying‐Hsuan Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying‐Hsuan Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 9 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 16 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 7 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 19 | |
| 13 | 2020 | 18 | |
| 14 | 2020 | 37 | |
| 15 | 2020 | 120 | |
| 16 | 2019 | 86 | |
| 17 | 2019 | 28 | |
| 18 | 2016 | 59 | |
| 19 | 2013 | 20 | |
| 20 | 2011 | 5 |
About Ying‐Hsuan Lin
Ying‐Hsuan Lin is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering, having authored 136 papers that have together received 4.8k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (65 papers), Air Quality and Health Impacts (52 papers), Atmospheric Ozone and Climate (29 papers), Air Quality Monitoring and Forecasting (20 papers), Indoor Air Quality and Microbial Exposure (12 papers), Vehicle emissions and performance (8 papers), Planetary Science and Exploration (7 papers) and Pesticide Exposure and Toxicity (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.9k citations), Atmospheric Science (3.2k citations) and Environmental Engineering (689 citations). Ying‐Hsuan Lin has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jason D. Surratt, Avram Gold, Rodney J. Weber, Xiaolu Zhang, Zhenfa Zhang, Haofei Zhang, Jin Y. Chen, Sri Hapsari Budisulistiorini, Stephanie L. Shaw and Eladio Knipping. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Environmental Science & Technology.
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.