Ling‐Yan He
- Health, Toxicology and Mutagenesis top 0.05%
- Air Quality and Health Impacts 118
- Toxic Organic Pollutants Impact 3
- Atmospheric Science top 0.2%
- Atmospheric chemistry and aerosols 118
- Atmospheric Ozone and Climate 28
- Environmental Engineering top 0.2%
- Air Quality Monitoring and Forecasting 45
- Automotive Engineering top 0.5%
- Vehicle emissions and performance 27
- Global and Planetary Change top 1%
- Atmospheric aerosols and clouds 23
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- Water Quality and Pollution Assessment 4
- Journals
- Atmospheric chemistry and physics (23 papers)Atmospheric Environment (16 papers)The Science of The Total Environment (13 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ling‐Yan He
139 papers receiving 6.3k citations
Peers
Comparison fields: 5 of 124
- Health, Toxicology and Mutagenesis 5.2k
- Atmospheric Science 5.4k
- Environmental Engineering 1.9k
- Automotive Engineering 1.2k
- Global and Planetary Change 1.7k
Countries citing papers authored by Ling‐Yan He
This map shows the geographic impact of Ling‐Yan He'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 Ling‐Yan He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling‐Yan He more than expected).
Fields of papers citing papers by Ling‐Yan He
This network shows the impact of papers produced by Ling‐Yan He. 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 Ling‐Yan He. The network helps show where Ling‐Yan He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ling‐Yan He, 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 3 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 36 | |
| 13 | 2017 | 45 | |
| 14 | 2016 | 3 | |
| 15 | 2016 | 14 | |
| 16 | [Seasonal and Spatial Variations of Carbon Fractions in PM2.5 in Ningbo and the Estimation of Secondary Organic Carbon]. | 2015 | 4 |
| 17 | 2014 | 78 | |
| 18 | [Characterising seasonal variation and spatial distribution of PM2.5 species in Shenzhen]. | 2013 | 7 |
| 19 | 2013 | 85 | |
| 20 | 2013 | 122 |
About Ling‐Yan He
Ling‐Yan He is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering, having authored 154 papers that have together received 6.4k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (118 papers), Atmospheric chemistry and aerosols (118 papers), Air Quality Monitoring and Forecasting (45 papers), Atmospheric Ozone and Climate (28 papers), Vehicle emissions and performance (27 papers), Atmospheric aerosols and clouds (23 papers), Water Quality and Pollution Assessment (4 papers) and Toxic Organic Pollutants Impact (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (5.2k citations), Atmospheric Science (5.4k citations) and Environmental Engineering (1.9k citations). Ling‐Yan He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaofeng Huang, Min Hu, Yuanhang Zhang, Jian Zhen Yu, Lian Xue, Zhijun Wu, Bo Zhu, Zhaoheng Gong, Min Shao and Li‐Ming Cao. Their work appears in journals such as Atmospheric chemistry and physics, Atmospheric Environment, The Science of The Total Environment, Journal of Environmental Sciences and Environmental Pollution.
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.