Jun Qin
Impact in
- Atmospheric Science top 0.2%
- Cryospheric studies and observations
- Climate change and permafrost
- Meteorological Phenomena and Simulations
- Global and Planetary Change top 0.2%
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
Papers in
-
- Cryospheric studies and observations 28
- Climate change and permafrost 23
- Meteorological Phenomena and Simulations 21
-
- Soil Moisture and Remote Sensing 24
- Urban Heat Island Mitigation 13
Jun Qin
116 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Atmospheric Science 5.4k
- Global and Planetary Change 5.0k
- Environmental Engineering 2.6k
- Water Science and Technology 1.5k
- Oceanography 532
Countries citing papers authored by Jun Qin
This map shows the geographic impact of Jun Qin'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 Jun Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Qin more than expected).
Fields of papers citing papers by Jun Qin
This network shows the impact of papers produced by Jun Qin. 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 Jun Qin. The network helps show where Jun Qin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Qin, 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 | 2024 | 28 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 3 | |
| 10 | 2022 | 9 | |
| 11 | The first high-resolution meteorological forcing dataset for land process studies over China Hit paper breakdown → | 2020 | 1018 |
| 12 | 2018 | 36 | |
| 13 | 2017 | 128 | |
| 14 | 2017 | 1 | |
| 15 | 2015 | 15 | |
| 16 | Recent climate changes over the Tibetan Plateau and their impacts on energy and water cycle: A review Hit paper breakdown → | 2013 | 938 |
| 17 | 2012 | 12 | |
| 18 | 2007 | 1 | |
| 19 | 2006 | 11 | |
| 20 | Multiple time scales analysis of climate variation in Wuhan during the last 100 years | 2000 | 4 |
About Jun Qin
Jun Qin is a scholar working on Atmospheric Science, Environmental Engineering, Global and Planetary Change, Artificial Intelligence and General Energy, having authored 121 papers that have together received 9.2k indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (32 papers), Cryospheric studies and observations (28 papers), Soil Moisture and Remote Sensing (24 papers), Atmospheric aerosols and clouds (23 papers), Climate change and permafrost (23 papers), Meteorological Phenomena and Simulations (21 papers), Climate variability and models (21 papers) and Urban Heat Island Mitigation (13 papers). The work is most often cited by research in Atmospheric Science (5.4k citations), Global and Planetary Change (5.0k citations), Environmental Engineering (2.6k citations), Water Science and Technology (1.5k citations) and Oceanography (532 citations). Jun Qin has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Kun Yang, Wenjun Tang, Yingying Chen, Jie He, Changgui Lin, Ning Lu, Hui Lü, Xin Li, Shunlin Liang and Long Zhao. Their work appears in journals such as Journal of Geophysical Research Atmospheres, IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing of Environment, Remote Sensing and Journal of Hydrology.
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.