Xianjun Hao
Impact in
- Global and Planetary Change top 2%
- Atmospheric aerosols and clouds
- Fire effects on ecosystems
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
- Atmospheric Science top 2%
- Atmospheric chemistry and aerosols
- Atmospheric Ozone and Climate
Papers in
-
- Fire effects on ecosystems 12
- Plant Water Relations and Carbon Dynamics 11
- Climate variability and models 11
- Atmospheric aerosols and clouds 11
-
- Atmospheric Ozone and Climate 10
- Atmospheric chemistry and aerosols 10
- Meteorological Phenomena and Simulations 8
Xianjun Hao
69 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 96
- Global and Planetary Change 1.2k
- Atmospheric Science 760
- Environmental Engineering 492
- Ecology 616
- Earth-Surface Processes 107
Countries citing papers authored by Xianjun Hao
This map shows the geographic impact of Xianjun Hao'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 Xianjun Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianjun Hao more than expected).
Fields of papers citing papers by Xianjun Hao
This network shows the impact of papers produced by Xianjun Hao. 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 Xianjun Hao. The network helps show where Xianjun Hao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xianjun Hao, 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2023 | 12 | |
| 4 | 2020 | 17 | |
| 5 | 2018 | 56 | |
| 6 | 2018 | 25 | |
| 7 | 2018 | 19 | |
| 8 | 2017 | 14 | |
| 9 | 2016 | 2 | |
| 10 | 2015 | 45 | |
| 11 | 2013 | 6 | |
| 12 | 2010 | 2 | |
| 13 | 2009 | 4 | |
| 14 | 2008 | 4 | |
| 15 | Estimation of live fuel moisture and soil moisture using satellite remote sensing | 2006 | 1 |
| 16 | Mapping Water Vapor Bands using AIRS Measurements for NPOESS/NPP VIIRS Pre-launch End-to-End Testing | 2005 | 1 |
| 17 | Establishing A Proxy Database for Supporting NPOESS/NPP VIIRS Land Product Pre-launch Testing | 2005 | 2 |
| 18 | 2005 | 2 | |
| 19 | 2002 | 2 | |
| 20 | 2000 | 3 |
About Xianjun Hao
Xianjun Hao is a scholar working on Global and Planetary Change, Atmospheric Science, Environmental Engineering, Ecology and Industrial and Manufacturing Engineering, having authored 70 papers that have together received 1.8k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (23 papers), Fire effects on ecosystems (12 papers), Plant Water Relations and Carbon Dynamics (11 papers), Climate variability and models (11 papers), Atmospheric aerosols and clouds (11 papers), Atmospheric Ozone and Climate (10 papers), Atmospheric chemistry and aerosols (10 papers) and Meteorological Phenomena and Simulations (8 papers). The work is most often cited by research in Global and Planetary Change (1.2k citations), Atmospheric Science (760 citations), Environmental Engineering (492 citations), Ecology (616 citations) and Earth-Surface Processes (107 citations). Xianjun Hao has collaborated with scholars based in United States, China and Canada. Frequent co-authors include John J. Qu, Lingli Wang, E. Raymond Hunt, Huizheng Che, Joe Wan, M. Kafatos, Xiaoye Zhang, Yang Li, Zijiang Zhou and Craig S. T. Daughtry. Their work appears in journals such as International Journal of Remote Sensing, Remote Sensing, Remote Sensing of Environment, Geophysical Research Letters 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.