Daniel Tong
- Health, Toxicology and Mutagenesis top 0.2%
- Air Quality and Health Impacts 68
- Atmospheric Science top 0.5%
- Atmospheric chemistry and aerosols 108
- Global and Planetary Change top 1%
- Atmospheric aerosols and clouds 43
- Atmospheric and Environmental Gas Dynamics 30
- Fire effects on ecosystems 23
- Environmental Engineering top 1%
- Air Quality Monitoring and Forecasting 17
- Earth-Surface Processes top 5%
- Aeolian processes and effects 14
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- Vehicle emissions and performance 15
- Co-authors
- Susan C. AnenbergJ. Jason WestLarry W. HorowitzXuelei ZhangViney P. AnejaPius LeeHongmei ZhaoWeiwei Chen
- Journals
- Atmospheric Environment (14 papers)Atmospheric chemistry and physics (11 papers)Journal of Geophysical Research Atmospheres (10 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Daniel Tong
141 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Health, Toxicology and Mutagenesis 2.3k
- Atmospheric Science 2.5k
- Global and Planetary Change 1.7k
- Environmental Engineering 914
- Earth-Surface Processes 235
Countries citing papers authored by Daniel Tong
This map shows the geographic impact of Daniel Tong'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 Daniel Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Tong more than expected).
Fields of papers citing papers by Daniel Tong
This network shows the impact of papers produced by Daniel Tong. 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 Daniel Tong. The network helps show where Daniel Tong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Tong, 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 | 2 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 31 | |
| 12 | 2021 | 54 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 6 | |
| 15 | 2020 | 27 | |
| 16 | 2020 | 16 | |
| 17 | 2020 | 3 | |
| 18 | Deep Learning for Improving Short-Term Atmospheric Modeling and Prediction Posters | 2019 | 1 |
| 19 | 2018 | 11 | |
| 20 | 2016 | 1 |
About Daniel Tong
Daniel Tong is a scholar working on Atmospheric Science, Health, Toxicology and Mutagenesis and Global and Planetary Change, having authored 146 papers that have together received 4.1k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (108 papers), Air Quality and Health Impacts (68 papers), Atmospheric aerosols and clouds (43 papers), Atmospheric and Environmental Gas Dynamics (30 papers), Fire effects on ecosystems (23 papers), Air Quality Monitoring and Forecasting (17 papers), Vehicle emissions and performance (15 papers) and Aeolian processes and effects (14 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (2.3k citations), Atmospheric Science (2.5k citations) and Global and Planetary Change (1.7k citations). Daniel Tong has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Susan C. Anenberg, J. Jason West, Larry W. Horowitz, Xuelei Zhang, Viney P. Aneja, Pius Lee, Hongmei Zhao, Weiwei Chen, Shichun Zhang and Li Pan. Their work appears in journals such as Atmospheric Environment, Atmospheric chemistry and physics, Journal of Geophysical Research Atmospheres, Geoscientific model development and Atmosphere.
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.