Congbo Song
Impact in
- Health, Toxicology and Mutagenesis top 0.2%
- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Environmental Engineering top 0.5%
- Air Quality Monitoring and Forecasting
Papers in
-
- Air Quality and Health Impacts 35
- Climate Change and Health Impacts 6
-
- Atmospheric chemistry and aerosols 33
- Atmospheric Ozone and Climate 5
Congbo Song
46 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Health, Toxicology and Mutagenesis 2.7k
- Environmental Engineering 1.5k
- Atmospheric Science 1.8k
- Automotive Engineering 594
- Global and Planetary Change 887
Countries citing papers authored by Congbo Song
This map shows the geographic impact of Congbo Song'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 Congbo Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congbo Song more than expected).
Fields of papers citing papers by Congbo Song
This network shows the impact of papers produced by Congbo Song. 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 Congbo Song. The network helps show where Congbo Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Congbo Song, 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 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 16 | |
| 6 | 2023 | 5 | |
| 7 | Revealing Drivers of Haze Pollution by Explainable Machine Learning Hit paper breakdown → | 2022 | 156 |
| 8 | 2022 | 32 | |
| 9 | 2021 | 18 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 12 | |
| 12 | 2021 | 37 | |
| 13 | Abrupt but smaller than expected changes in surface air quality attributable to COVID-19 lockdowns Hit paper breakdown → | 2021 | 275 |
| 14 | 2021 | 61 | |
| 15 | 2021 | 17 | |
| 16 | 2020 | 90 | |
| 17 | 2020 | 72 | |
| 18 | 2020 | 79 | |
| 19 | 2020 | 56 | |
| 20 | Air pollution in China: Status and spatiotemporal variations Hit paper breakdown → | 2017 | 538 |
About Congbo Song
Congbo Song is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Environmental Engineering, Automotive Engineering and Global and Planetary Change, having authored 47 papers that have together received 3.4k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (35 papers), Atmospheric chemistry and aerosols (33 papers), Air Quality Monitoring and Forecasting (18 papers), Vehicle emissions and performance (12 papers), COVID-19 impact on air quality (8 papers), Climate Change and Health Impacts (6 papers), Atmospheric Ozone and Climate (5 papers) and Atmospheric aerosols and clouds (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.7k citations), Environmental Engineering (1.5k citations), Atmospheric Science (1.8k citations), Automotive Engineering (594 citations) and Global and Planetary Change (887 citations). Congbo Song has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Hongjun Mao, Jianjun He, Lin Wu, Qili Dai, Baoshuang Liu, Ruipeng Li, Taosheng Jin, Yinchang Feng, Yufen Zhang and Zongbo Shi. Their work appears in journals such as Environmental Pollution, Atmospheric Environment, Atmospheric chemistry and physics, Geophysical Research Letters and Chemosphere.
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.