Linli Qu
Impact in
-
- Air Quality and Health Impacts
- Toxic Organic Pollutants Impact
- Atmospheric Science top 5%
- Atmospheric chemistry and aerosols
Papers in
-
- Air Quality and Health Impacts 28
- Toxic Organic Pollutants Impact 10
- Climate Change and Health Impacts 3
-
- Atmospheric chemistry and aerosols 16
- Co-authors
- Steven Sai Hang Ho (33 shared papers)Junji Cao (24 shared papers)Zhenxing Shen (15 shared papers)Hongmei Xu (15 shared papers)Jian Sun (15 shared papers)Kin‐Fai Ho (13 shared papers)Hsiao‐Chi Chuang (4 shared papers)Yue Zhang (5 shared papers)
- Journals
- The Science of The Total Environment (9 papers)Atmospheric Environment (5 papers)Environmental Pollution (4 papers)Chemosphere (4 papers)Atmospheric Research (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Linli Qu
33 papers receiving 712 citations
Peers
Comparison fields: 5 of 79
- Health, Toxicology and Mutagenesis 526
- Atmospheric Science 288
- Pollution 150
- Automotive Engineering 145
- Environmental Engineering 170
Countries citing papers authored by Linli Qu
This map shows the geographic impact of Linli Qu'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 Linli Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linli Qu more than expected).
Fields of papers citing papers by Linli Qu
This network shows the impact of papers produced by Linli Qu. 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 Linli Qu. The network helps show where Linli Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Linli Qu, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 72 | |
| 2 | 2020 | 54 | |
| 3 | 2022 | 48 | |
| 4 | 2020 | 46 | |
| 5 | 2020 | 45 | |
| 6 | 2020 | 38 | |
| 7 | 2020 | 34 | |
| 8 | 2016 | 34 | |
| 9 | 2019 | 33 | |
| 10 | 2020 | 29 | |
| 11 | 2017 | 27 | |
| 12 | 2023 | 24 | |
| 13 | 2020 | 20 | |
| 14 | 2021 | 19 | |
| 15 | 2022 | 19 | |
| 16 | 2018 | 18 | |
| 17 | 2018 | 16 | |
| 18 | 2023 | 14 | |
| 19 | 2022 | 14 | |
| 20 | 2023 | 14 |
About Linli Qu
Linli Qu is a scholar working on Health, Toxicology and Mutagenesis, Atmospheric Science, Environmental Engineering, Pollution and Automotive Engineering, having authored 34 papers that have together received 719 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (28 papers), Atmospheric chemistry and aerosols (16 papers), Air Quality Monitoring and Forecasting (13 papers), Toxic Organic Pollutants Impact (10 papers), Vehicle emissions and performance (6 papers), Energy and Environment Impacts (6 papers), Microplastics and Plastic Pollution (3 papers) and Climate Change and Health Impacts (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (526 citations), Atmospheric Science (288 citations), Pollution (150 citations), Automotive Engineering (145 citations) and Environmental Engineering (170 citations). Linli Qu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Steven Sai Hang Ho, Junji Cao, Zhenxing Shen, Hongmei Xu, Jian Sun, Kin‐Fai Ho, Hsiao‐Chi Chuang, Yue Zhang, John G. Watson and Rong Feng. Their work appears in journals such as The Science of The Total Environment, Atmospheric Environment, Environmental Pollution, Chemosphere and Atmospheric Research.
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.