Xiaodan Wu
Impact in
- Environmental Engineering top 5%
- Urban Heat Island Mitigation
- Remote Sensing and LiDAR Applications
- Global and Planetary Change top 5%
- Climate variability and models
- Flood Risk Assessment and Management
- Atmospheric and Environmental Gas Dynamics
Papers in
-
- Urban Heat Island Mitigation 12
-
- Cryospheric studies and observations 16
- Climate change and permafrost 8
- Co-authors
- Jianguang WenQing XiaoDongqin YouTaoyuan WeiBrian FinlaysonMaotian LiMichael WebberZhongyuan Chen
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (7 papers)International Journal of Digital Earth (5 papers)Remote Sensing (5 papers)Journal of Geophysical Research Atmospheres (4 papers)IEEE Geoscience and Remote Sensing Letters (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaodan Wu
76 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Environmental Engineering 358
- Global and Planetary Change 510
- Atmospheric Science 337
- Water Science and Technology 225
- Ecology 319
Countries citing papers authored by Xiaodan Wu
This map shows the geographic impact of Xiaodan Wu'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 Xiaodan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Wu more than expected).
Fields of papers citing papers by Xiaodan Wu
This network shows the impact of papers produced by Xiaodan Wu. 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 Xiaodan Wu. The network helps show where Xiaodan Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaodan Wu, 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 | 2 | |
| 2 | 2024 | 15 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 16 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 1 | |
| 10 | 2022 | 3 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 4 | |
| 15 | 2021 | 16 | |
| 16 | 2021 | 2 | |
| 17 | 2020 | 19 | |
| 18 | 2019 | 13 | |
| 19 | 2019 | 14 | |
| 20 | 2019 | 25 |
About Xiaodan Wu
Xiaodan Wu is a scholar working on Environmental Engineering, Atmospheric Science, Global and Planetary Change, Ecology and Pollution, having authored 81 papers that have together received 1.3k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (26 papers), Atmospheric and Environmental Gas Dynamics (16 papers), Cryospheric studies and observations (16 papers), Urban Heat Island Mitigation (12 papers), Climate variability and models (9 papers), Calibration and Measurement Techniques (9 papers), Thermal Radiation and Cooling Technologies (8 papers) and Climate change and permafrost (8 papers). The work is most often cited by research in Environmental Engineering (358 citations), Global and Planetary Change (510 citations), Atmospheric Science (337 citations), Water Science and Technology (225 citations) and Ecology (319 citations). Xiaodan Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianguang Wen, Qing Xiao, Dongqin You, Taoyuan Wei, Brian Finlayson, Maotian Li, Michael Webber, Zhongyuan Chen, Jing Chen and Andreas Hueni. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Digital Earth, Remote Sensing, Journal of Geophysical Research Atmospheres and IEEE Geoscience and Remote Sensing Letters.
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.