Jun Guo
Impact in
- Environmental Engineering top 1%
- Urban Heat Island Mitigation
- Hydrological Forecasting Using AI
- Global and Planetary Change top 2%
- Flood Risk Assessment and Management
- Climate variability and models
- Hydrology and Drought Analysis
- Land Use and Ecosystem Services
Papers in
-
- Flood Risk Assessment and Management 11
- Climate variability and models 10
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- Hydrological Forecasting Using AI 10
- Urban Heat Island Mitigation 8
- Co-authors
- Lixiang Song (6 shared papers)Jianzhong Zhou (6 shared papers)Qiang Zou (3 shared papers)Chao Zhou (4 shared papers)Guoyu Ren (3 shared papers)Yi Liu (12 shared papers)Aiying Zhang (1 shared paper)Yaqing Zhou (1 shared paper)
In The Last Decade
Jun Guo
81 papers receiving 1.8k citations
Jun Guo's Hit Papers
Peers
Comparison fields: 5 of 109
- Environmental Engineering 661
- Global and Planetary Change 905
- Water Science and Technology 404
- Atmospheric Science 385
- Building and Construction 153
Countries citing papers authored by Jun Guo
This map shows the geographic impact of Jun Guo'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 Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Guo more than expected).
Fields of papers citing papers by Jun Guo
This network shows the impact of papers produced by Jun Guo. 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 Guo. The network helps show where Jun Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Guo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 412 | |
| 2 | 2012 | 345 | |
| 3 | Study on optimization and combination strategy of multiple daily runoff prediction models coupled with physical mechanism and LSTM Hit paper breakdown → | 2023 | 134 |
| 4 | 2011 | 98 | |
| 5 | 2024 | 51 | |
| 6 | 2015 | 48 | |
| 7 | 2013 | 43 | |
| 8 | 2011 | 43 | |
| 9 | 2014 | 40 | |
| 10 | 2018 | 39 | |
| 11 | 2015 | 31 | |
| 12 | 2014 | 30 | |
| 13 | 2020 | 29 | |
| 14 | Change in Pan Evaporation and the Influential Factors over China: 1956-2000 | 2006 | 28 |
| 15 | 2015 | 26 | |
| 16 | 2018 | 23 | |
| 17 | 2013 | 22 | |
| 18 | 2018 | 18 | |
| 19 | 2011 | 18 | |
| 20 | 2020 | 17 |
About Jun Guo
Jun Guo is a scholar working on Global and Planetary Change, Environmental Engineering, Electrical and Electronic Engineering, Water Science and Technology and Atmospheric Science, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (18 papers), Flood Risk Assessment and Management (11 papers), Hydrological Forecasting Using AI (10 papers), Climate variability and models (10 papers), Urban Heat Island Mitigation (8 papers), Building Energy and Comfort Optimization (7 papers), Meteorological Phenomena and Simulations (7 papers) and Infrastructure Resilience and Vulnerability Analysis (6 papers). The work is most often cited by research in Environmental Engineering (661 citations), Global and Planetary Change (905 citations), Water Science and Technology (404 citations), Atmospheric Science (385 citations) and Building and Construction (153 citations). Jun Guo has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Lixiang Song, Jianzhong Zhou, Qiang Zou, Chao Zhou, Guoyu Ren, Yi Liu, Aiying Zhang, Yaqing Zhou, Ziying Chu and Xuefeng Liu. Their work appears in journals such as Energies, Water, Atmosphere, Journal of Hydrology and Geomatics Natural Hazards and Risk.
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.