Deqing Yu
Impact in
- Global and Planetary Change top 5%
- Land Use and Ecosystem Services
- Plant Water Relations and Carbon Dynamics
- Environmental Engineering top 5%
- Urban Heat Island Mitigation
- Hydrological Forecasting Using AI
Papers in
-
- Urban Heat Island Mitigation 3
- Remote Sensing and LiDAR Applications 2
-
- Flood Risk Assessment and Management 3
- Land Use and Ecosystem Services 2
- Environmental Changes in China 2
- Co-authors
- Lunche Wang (8 shared papers)LI Chang-an (6 shared papers)Rui Yao (5 shared papers)Sai Qu (1 shared paper)Aiwen Lin (1 shared paper)Moxi Yuan (1 shared paper)Xuan Gui (2 shared papers)Zigeng Niu (2 shared papers)
- Journals
- International Journal of Digital Earth (2 papers)Journal of Hydrology (2 papers)Remote Sensing Letters (1 paper)Computers and Electronics in Agriculture (1 paper)Ecological Indicators (1 paper)
- Partner nations
- ChinaUnited StatesGeorgia
In The Last Decade
Deqing Yu
9 papers receiving 674 citations
Deqing Yu's Hit Papers
Peers
Comparison fields: 5 of 60
- Global and Planetary Change 435
- Environmental Engineering 289
- Health, Toxicology and Mutagenesis 129
- Ecological Modeling 38
- Atmospheric Science 156
Countries citing papers authored by Deqing Yu
This map shows the geographic impact of Deqing Yu'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 Deqing Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deqing Yu more than expected).
Fields of papers citing papers by Deqing Yu
This network shows the impact of papers produced by Deqing Yu. 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 Deqing Yu. The network helps show where Deqing Yu may publish in the future.
Co-authors
The 24 scholars most cited alongside Deqing Yu, 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 | Distinguishing the impacts of climate change and anthropogenic factors on vegetation dynamics in the Yangtze River Basin, China Hit paper breakdown → | 2019 | 277 |
| 2 | 2019 | 96 | |
| 3 | 2020 | 94 | |
| 4 | 2017 | 70 | |
| 5 | 2019 | 65 | |
| 6 | 2020 | 35 | |
| 7 | 2020 | 33 | |
| 8 | 2021 | 11 | |
| 9 | 2025 | 1 | |
| 10 | 2024 | 0 |
About Deqing Yu
Deqing Yu is a scholar working on Environmental Engineering, Global and Planetary Change, Nature and Landscape Conservation, Health, Toxicology and Mutagenesis and Ecology, having authored 10 papers that have together received 682 indexed citations. Recurring topics across this work include Urban Heat Island Mitigation (3 papers), Flood Risk Assessment and Management (3 papers), Building Energy and Comfort Optimization (2 papers), Remote Sensing and LiDAR Applications (2 papers), Land Use and Ecosystem Services (2 papers), Hydrology and Watershed Management Studies (2 papers), Environmental Changes in China (2 papers) and Urban Green Space and Health (2 papers). The work is most often cited by research in Global and Planetary Change (435 citations), Environmental Engineering (289 citations), Health, Toxicology and Mutagenesis (129 citations), Ecological Modeling (38 citations) and Atmospheric Science (156 citations). Deqing Yu has collaborated with scholars based in China, United States and Georgia. Frequent co-authors include Lunche Wang, LI Chang-an, Rui Yao, Sai Qu, Aiwen Lin, Moxi Yuan, Xuan Gui, Zigeng Niu, Shaoqiang Wang and Özgür Kişi. Their work appears in journals such as International Journal of Digital Earth, Journal of Hydrology, Remote Sensing Letters, Computers and Electronics in Agriculture and Ecological Indicators.
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.