Hao Yan
- Global and Planetary Change top 2%
- Ecology top 5%
- Atmospheric Science top 10%
- Environmental Engineering top 5%
- Water Science and Technology top 5%
- Co-authors
- Herman H. ShugartShaoqiang WangJunbang WangD. P. BillesbachGil BohrerZaichun ZhuGuoping ZhangChangyao Wang
- Topics
- Plant Water Relations and Carbon Dynamics (18 papers)Remote Sensing in Agriculture (12 papers)Climate variability and models (10 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hao Yan
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Global and Planetary Change 778
- Ecology 343
- Atmospheric Science 264
- Environmental Engineering 199
- Water Science and Technology 172
Countries citing papers authored by Hao Yan
This map shows the geographic impact of Hao Yan'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 Hao Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Yan more than expected).
Fields of papers citing papers by Hao Yan
This network shows the impact of papers produced by Hao Yan. 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 Hao Yan. The network helps show where Hao Yan may publish in the future.
Co-authorship network of co-authors of Hao Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Hao Yan. A scholar is included among the top collaborators of Hao Yan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hao Yan. Hao Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 37 | |
| 7 | 3 | |
| 8 | 15 | |
| 9 | 0 | |
| 10 | 20 | |
| 11 | 24 | |
| 12 | 35 | |
| 13 | 32 | |
| 14 | 10 | |
| 15 | Global crop growth condition monitoring and yield trend prediction with remote sensing | 8 |
| 16 | 16 | |
| 17 | 0 | |
| 18 | Observation on Sand-dust Aerosol in Center of Taklimakan Desert | 6 |
| 19 | A Comparison of MODIS and Passive Microwave Snow Mappings | 5 |
| 20 | Detecting Snow and Estimating Snowpack Parameters from NOAA16-AVHRR Data | 3 |
About Hao Yan
Hao Yan is a scholar working on Global and Planetary Change, Atmospheric Science and Ecological Modeling, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (18 papers), Remote Sensing in Agriculture (12 papers) and Climate variability and models (10 papers). The work is most often cited by research in Global and Planetary Change (778 citations), Soil Science (145 citations) and Atmospheric Science (264 citations). Hao Yan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Herman H. Shugart, Shaoqiang Wang, Junbang Wang, D. P. Billesbach, Gil Bohrer, Zaichun Zhu, Guoping Zhang, Changyao Wang, Nilanchal Patel and Ranga B. Myneni. Their work appears in journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and The Science of The Total Environment.
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.