Fahe Chai
- Health, Toxicology and Mutagenesis top 0.1%
- Air Quality and Health Impacts 76
- Mercury impact and mitigation studies 7
- Atmospheric Science top 0.5%
- Atmospheric chemistry and aerosols 76
- Atmospheric Ozone and Climate 15
- Environmental Engineering top 0.5%
- Air Quality Monitoring and Forecasting 26
- Automotive Engineering top 1%
- Vehicle emissions and performance 24
- Pollution top 1%
- Heavy metals in environment 8
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- Atmospheric aerosols and clouds 11
Fahe Chai
99 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Health, Toxicology and Mutagenesis 3.7k
- Atmospheric Science 3.1k
- Environmental Engineering 1.5k
- Automotive Engineering 704
- Pollution 630
Countries citing papers authored by Fahe Chai
This map shows the geographic impact of Fahe Chai'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 Fahe Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fahe Chai more than expected).
Fields of papers citing papers by Fahe Chai
This network shows the impact of papers produced by Fahe Chai. 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 Fahe Chai. The network helps show where Fahe Chai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fahe Chai, 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 | 2022 | 3 | |
| 2 | 2020 | 38 | |
| 3 | 2020 | 14 | |
| 4 | 2018 | 29 | |
| 5 | 2018 | 18 | |
| 6 | 2018 | 66 | |
| 7 | 2018 | 53 | |
| 8 | 2017 | 125 | |
| 9 | 2017 | 24 | |
| 10 | 2017 | 69 | |
| 11 | 2017 | 19 | |
| 12 | 2016 | 52 | |
| 13 | 2016 | 16 | |
| 14 | 2016 | 56 | |
| 15 | [Study on the effect of the haze episodes on the visits to pediatrics outpatient departments and emergency departments in Beijing]. | 2015 | 1 |
| 16 | 2015 | 53 | |
| 17 | 2015 | 337 | |
| 18 | 2014 | 149 | |
| 19 | [Spatial distribution characteristics of NMHCs during winter haze in Beijing]. | 2013 | 1 |
| 20 | 2013 | 40 |
About Fahe Chai
Fahe Chai is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Automotive Engineering, having authored 99 papers that have together received 5.1k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (76 papers), Atmospheric chemistry and aerosols (76 papers), Air Quality Monitoring and Forecasting (26 papers), Vehicle emissions and performance (24 papers), Atmospheric Ozone and Climate (15 papers), Atmospheric aerosols and clouds (11 papers), Heavy metals in environment (8 papers) and Mercury impact and mitigation studies (7 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (3.7k citations), Atmospheric Science (3.1k citations) and Environmental Engineering (1.5k citations). Fahe Chai has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Jian Gao, Shulan Wang, Jiming Hao, Yizhen Chen, Hefeng Zhang, Jihua Tan, Hezhong Tian, Zhigang Xue, Shuxiao Wang and Jingchun Duan. Their work appears in journals such as Journal of Environmental Sciences, Atmospheric Environment, The Science of The Total Environment, Environmental Pollution and Atmospheric chemistry and physics.
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.