Steve Hung Lam Yim
- Health, Toxicology and Mutagenesis top 0.2%
- Air Quality and Health Impacts 87
- Climate Change and Health Impacts 30
- Atmospheric Science top 1%
- Atmospheric chemistry and aerosols 60
- Meteorological Phenomena and Simulations 10
- Environmental Engineering top 0.5%
- Air Quality Monitoring and Forecasting 22
- Global and Planetary Change top 1%
- Atmospheric aerosols and clouds 26
- Climate variability and models 12
- Automotive Engineering top 1%
- Vehicle emissions and performance 15
Steve Hung Lam Yim
127 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Health, Toxicology and Mutagenesis 2.8k
- Atmospheric Science 2.0k
- Environmental Engineering 1.6k
- Global and Planetary Change 1.7k
- Automotive Engineering 621
Countries citing papers authored by Steve Hung Lam Yim
This map shows the geographic impact of Steve Hung Lam Yim'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 Steve Hung Lam Yim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Hung Lam Yim more than expected).
Fields of papers citing papers by Steve Hung Lam Yim
This network shows the impact of papers produced by Steve Hung Lam Yim. 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 Steve Hung Lam Yim. The network helps show where Steve Hung Lam Yim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steve Hung Lam Yim, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | Interpreting complex relationships between urban and meteorological factors and street-level urban heat islands: Application of random forest and SHAP methodbreakdown → | 2025 | 18 |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 54 | |
| 11 | 2022 | 30 | |
| 12 | 2021 | 16 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 23 | |
| 15 | 2020 | 37 | |
| 16 | 2019 | 66 | |
| 17 | 2019 | 16 | |
| 18 | 2019 | 58 | |
| 19 | 2018 | 4 | |
| 20 | Impacts of Particulate Pollution from Fossil Fuel and Biomass Burnings on the Air Quality and Human Health in Southeast Asia | 2017 | 1 |
About Steve Hung Lam Yim
Steve Hung Lam Yim is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science and Environmental Engineering, having authored 134 papers that have together received 4.5k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (87 papers), Atmospheric chemistry and aerosols (60 papers), Climate Change and Health Impacts (30 papers), Atmospheric aerosols and clouds (26 papers), Air Quality Monitoring and Forecasting (22 papers), Vehicle emissions and performance (15 papers), Climate variability and models (12 papers) and Meteorological Phenomena and Simulations (10 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.8k citations), Atmospheric Science (2.0k citations) and Environmental Engineering (1.6k citations). Steve Hung Lam Yim has collaborated with scholars based in Hong Kong, China and Singapore. Frequent co-authors include Steven R. H. Barrett, Yefu Gu, Kin‐Fai Ho, Yuanjian Yang, Jimmy Chi Hung Fung, Akshay Ashok, Guang‐Hui Dong, Ian A. Waitz, Alexis K.H. Lau and Guicai Ning. Their work appears in journals such as Journal of Geophysical Research Atmospheres, Environmental Science & Technology and Renewable and Sustainable Energy Reviews.
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.