Siqi Ai
Impact in
-
- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Climate Change and Health Impacts 14
- Air Quality and Health Impacts 13
-
- Global Health Care Issues 6
- Co-authors
- Zhengmin Qian (8 shared papers)Hualiang Lin (11 shared papers)Hualiang Lin (4 shared papers)Fan Wu (3 shared papers)Yanfei Guo (3 shared papers)Wenjun Ma (3 shared papers)Steven W. Howard (3 shared papers)Yin Yang (2 shared papers)
- Journals
- The Science of The Total Environment (4 papers)Environmental Research Letters (3 papers)Clinical Infectious Diseases (1 paper)Toxics (1 paper)National Science Review (1 paper)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Siqi Ai
19 papers receiving 429 citations
Peers
Comparison fields: 5 of 79
- Health, Toxicology and Mutagenesis 303
- Modeling and Simulation 50
- Environmental Engineering 84
- Speech and Hearing 39
- Pollution 56
Countries citing papers authored by Siqi Ai
This map shows the geographic impact of Siqi Ai'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 Siqi Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siqi Ai more than expected).
Fields of papers citing papers by Siqi Ai
This network shows the impact of papers produced by Siqi Ai. 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 Siqi Ai. The network helps show where Siqi Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Siqi Ai, 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 | 2018 | 69 | |
| 2 | 2018 | 60 | |
| 3 | 2020 | 50 | |
| 4 | 2019 | 38 | |
| 5 | 2018 | 32 | |
| 6 | 2018 | 30 | |
| 7 | 2020 | 29 | |
| 8 | 2019 | 25 | |
| 9 | 2023 | 24 | |
| 10 | 2020 | 17 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2021 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2020 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2025 | 3 | |
| 20 | 2025 | 0 |
About Siqi Ai
Siqi Ai is a scholar working on Health, Toxicology and Mutagenesis, General Health Professions, Pollution, Modeling and Simulation and Environmental Engineering, having authored 22 papers that have together received 433 indexed citations. Recurring topics across this work include Climate Change and Health Impacts (14 papers), Air Quality and Health Impacts (13 papers), Global Health Care Issues (6 papers), COVID-19 epidemiological studies (4 papers), Energy and Environment Impacts (3 papers), Air Quality Monitoring and Forecasting (3 papers), Infection Control and Ventilation (1 paper) and Diet, Metabolism, and Disease (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (303 citations), Modeling and Simulation (50 citations), Environmental Engineering (84 citations), Speech and Hearing (39 citations) and Pollution (56 citations). Siqi Ai has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Zhengmin Qian, Hualiang Lin, Hualiang Lin, Fan Wu, Yanfei Guo, Wenjun Ma, Steven W. Howard, Yin Yang, Yang Zheng and Shiyu Zhang. Their work appears in journals such as The Science of The Total Environment, Environmental Research Letters, Clinical Infectious Diseases, Toxics and National Science Review.
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.