Jing Wei
Impact in
- Health, Toxicology and Mutagenesis top 0.05%
- Air Quality and Health Impacts
- Climate Change and Health Impacts
- Environmental Engineering top 0.1%
- Air Quality Monitoring and Forecasting
- Urban Heat Island Mitigation
Papers in
-
- Air Quality and Health Impacts 203
- Climate Change and Health Impacts 135
-
- Atmospheric chemistry and aerosols 91
- Atmospheric Ozone and Climate 33
- Co-authors
- Lin Sun (45 shared papers)Zhanqing Li (37 shared papers)Maureen Cribb (18 shared papers)Wenhao Xue (18 shared papers)Yiran Peng (13 shared papers)Tianning Su (10 shared papers)Alexei Lyapustin (5 shared papers)Wei Huang (4 shared papers)
- Journals
- The Science of The Total Environment (32 papers)Ecotoxicology and Environmental Safety (22 papers)Environmental Research (21 papers)Atmospheric Environment (19 papers)Remote Sensing (14 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jing Wei
419 papers receiving 11.2k citations
Jing Wei's Hit Papers
Peers
Comparison fields: 5 of 197
- Health, Toxicology and Mutagenesis 5.5k
- Environmental Engineering 3.1k
- Atmospheric Science 3.6k
- Global and Planetary Change 3.6k
- Speech and Hearing 498
Countries citing papers authored by Jing Wei
This map shows the geographic impact of Jing Wei'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 Jing Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Wei more than expected).
Fields of papers citing papers by Jing Wei
This network shows the impact of papers produced by Jing Wei. 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 Jing Wei. The network helps show where Jing Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 449 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications Hit paper breakdown → | 2020 | 790 |
| 2 | Improved 1 km resolution PM 2.5 estimates across China using enhanced space–time extremely randomized trees Hit paper breakdown → | 2020 | 449 |
| 3 | Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach Hit paper breakdown → | 2019 | 401 |
| 4 | Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China Hit paper breakdown → | 2021 | 381 |
| 5 | The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China Hit paper breakdown → | 2020 | 304 |
| 6 | MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison Hit paper breakdown → | 2018 | 265 |
| 7 | Satellite-Derived 1-km-Resolution PM1 Concentrations from 2014 to 2018 across China Hit paper breakdown → | 2019 | 261 |
| 8 | 2012 | 199 | |
| 9 | Ground-level gaseous pollutants (NO 2 , SO 2 , and CO) in China: daily seamless mapping and spatiotemporal variations Hit paper breakdown → | 2023 | 198 |
| 10 | Quantization of the coupling mechanism between eco-environmental quality and urbanization from multisource remote sensing data Hit paper breakdown → | 2021 | 195 |
| 11 | Ground-Level NO2Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence Hit paper breakdown → | 2022 | 188 |
| 12 | 2016 | 165 | |
| 13 | 2019 | 137 | |
| 14 | 2021 | 120 | |
| 15 | 2017 | 117 | |
| 16 | Extreme Temperature Events, Fine Particulate Matter, and Myocardial Infarction Mortality Hit paper breakdown → | 2023 | 114 |
| 17 | 2015 | 103 | |
| 18 | 2016 | 102 | |
| 19 | Separating Daily 1 km PM2.5 Inorganic Chemical Composition in China since 2000 via Deep Learning Integrating Ground, Satellite, and Model Data Hit paper breakdown → | 2023 | 97 |
| 20 | 2020 | 95 |
About Jing Wei
Jing Wei is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Global and Planetary Change, Environmental Engineering and General Health Professions, having authored 449 papers that have together received 11.4k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (203 papers), Climate Change and Health Impacts (135 papers), Atmospheric chemistry and aerosols (91 papers), Atmospheric aerosols and clouds (62 papers), Air Quality Monitoring and Forecasting (51 papers), Atmospheric Ozone and Climate (33 papers), Noise Effects and Management (27 papers) and Global Health Care Issues (27 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (5.5k citations), Environmental Engineering (3.1k citations), Atmospheric Science (3.6k citations), Global and Planetary Change (3.6k citations) and Speech and Hearing (498 citations). Jing Wei has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lin Sun, Zhanqing Li, Maureen Cribb, Wenhao Xue, Yiran Peng, Tianning Su, Alexei Lyapustin, Wei Huang, Jianping Guo and Jun Wang. Their work appears in journals such as The Science of The Total Environment, Ecotoxicology and Environmental Safety, Environmental Research, Atmospheric Environment and Remote Sensing.
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.