Qu Cheng
Impact in
- Global and Planetary Change top 2%
- Land Use and Ecosystem Services
- Ecology top 2%
- Remote Sensing in Agriculture
Papers in
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- COVID-19 epidemiological studies 5
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- Viral Infections and Vectors 6
- Co-authors
- Peng Gong (5 shared papers)Justin V. Remais (10 shared papers)Song Liang (7 shared papers)Robert C. Spear (5 shared papers)Qinlong Jing (3 shared papers)John Macky Marshall (2 shared papers)Zhicong Yang (2 shared papers)Tianbing Wang (1 shared paper)
- Journals
- PLoS neglected tropical diseases (4 papers)International Journal of Remote Sensing (3 papers)BMC Infectious Diseases (2 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qu Cheng
38 papers receiving 2.4k citations
Qu Cheng's Hit Papers
Peers
Comparison fields: 5 of 147
- Global and Planetary Change 1.1k
- Ecology 1.1k
- Media Technology 368
- Environmental Engineering 539
- Ecological Modeling 125
Countries citing papers authored by Qu Cheng
This map shows the geographic impact of Qu Cheng'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 Qu Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qu Cheng more than expected).
Fields of papers citing papers by Qu Cheng
This network shows the impact of papers produced by Qu Cheng. 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 Qu Cheng. The network helps show where Qu Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Qu Cheng, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data Hit paper breakdown → | 2012 | 1389 |
| 2 | 2018 | 187 | |
| 3 | 2014 | 178 | |
| 4 | 2014 | 138 | |
| 5 | 2017 | 129 | |
| 6 | 2016 | 83 | |
| 7 | 2019 | 47 | |
| 8 | 2020 | 37 | |
| 9 | 2024 | 35 | |
| 10 | 2017 | 30 | |
| 11 | 2019 | 29 | |
| 12 | 2022 | 26 | |
| 13 | 2021 | 24 | |
| 14 | 2008 | 15 | |
| 15 | 2021 | 14 | |
| 16 | 2021 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2020 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2021 | 11 |
About Qu Cheng
Qu Cheng is a scholar working on Modeling and Simulation, Infectious Diseases, Public Health, Environmental and Occupational Health, Ecological Modeling and Health, Toxicology and Mutagenesis, having authored 41 papers that have together received 2.5k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (7 papers), Viral Infections and Vectors (6 papers), COVID-19 epidemiological studies (5 papers), Air Quality and Health Impacts (3 papers), Remote Sensing in Agriculture (3 papers), Climate Change and Health Impacts (3 papers), Species Distribution and Climate Change (3 papers) and Topology Optimization in Engineering (2 papers). The work is most often cited by research in Global and Planetary Change (1.1k citations), Ecology (1.1k citations), Media Technology (368 citations), Environmental Engineering (539 citations) and Ecological Modeling (125 citations). Qu Cheng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peng Gong, Justin V. Remais, Song Liang, Robert C. Spear, Qinlong Jing, John Macky Marshall, Zhicong Yang, Tianbing Wang, Zhong‐Ren Peng and Morgan C. Levy. Their work appears in journals such as PLoS neglected tropical diseases, International Journal of Remote Sensing, BMC Infectious Diseases, Proceedings of the National Academy of Sciences and PLoS Computational Biology.
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.