Xiaohui Bi
- Health, Toxicology and Mutagenesis top 0.2%
- Air Quality and Health Impacts 63
- Atmospheric Science top 1%
- Atmospheric chemistry and aerosols 58
- Environmental Engineering top 0.5%
- Air Quality Monitoring and Forecasting 26
- Automotive Engineering top 1%
- Vehicle emissions and performance 20
- Pollution top 2%
- Heavy metals in environment 4
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- Aeolian processes and effects 5
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- Atmospheric aerosols and clouds 5
- COVID-19 impact on air quality 4
Xiaohui Bi
82 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Health, Toxicology and Mutagenesis 2.4k
- Atmospheric Science 2.1k
- Environmental Engineering 1.2k
- Automotive Engineering 643
- Pollution 349
Countries citing papers authored by Xiaohui Bi
This map shows the geographic impact of Xiaohui Bi'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 Xiaohui Bi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Bi more than expected).
Fields of papers citing papers by Xiaohui Bi
This network shows the impact of papers produced by Xiaohui Bi. 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 Xiaohui Bi. The network helps show where Xiaohui Bi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaohui Bi, 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 | 2024 | 5 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 37 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 12 | |
| 8 | 2023 | 21 | |
| 9 | 2023 | 2 | |
| 10 | Revealing Drivers of Haze Pollution by Explainable Machine Learningbreakdown → | 2022 | 156 |
| 11 | 2022 | 2 | |
| 12 | 2021 | 37 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 7 | |
| 15 | 2020 | 56 | |
| 16 | 2019 | 12 | |
| 17 | 2019 | 37 | |
| 18 | Refined source apportionment of coal-combustion source based on CALPUFF-CMB models. | 2018 | 1 |
| 19 | 2018 | 2 | |
| 20 | 2011 | 34 |
About Xiaohui Bi
Xiaohui Bi is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Environmental Engineering, Automotive Engineering and Earth-Surface Processes, having authored 85 papers that have together received 3.2k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (63 papers), Atmospheric chemistry and aerosols (58 papers), Air Quality Monitoring and Forecasting (26 papers), Vehicle emissions and performance (20 papers), Aeolian processes and effects (5 papers), Atmospheric aerosols and clouds (5 papers), COVID-19 impact on air quality (4 papers) and Heavy metals in environment (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.4k citations), Atmospheric Science (2.1k citations), Environmental Engineering (1.2k citations), Automotive Engineering (643 citations) and Pollution (349 citations). Xiaohui Bi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yinchang Feng, Jianhui Wu, Yufen Zhang, Qili Dai, Baoshuang Liu, Danni Liang, Philip K. Hopke, Zhimei Xiao, Jiamei Yang and Congbo Song. Their work appears in journals such as Environmental Pollution, The Science of The Total Environment, Atmospheric Environment, Atmospheric Research and Aerosol and Air Quality 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.