Long Wan
Impact in
- Soil Science top 10%
- Soil erosion and sediment transport
- Soil Carbon and Nitrogen Dynamics
- Water Science and Technology top 10%
- Hydrology and Watershed Management Studies
Papers in
-
- Plant Water Relations and Carbon Dynamics 5
- Climate variability and models 4
- Flood Risk Assessment and Management 2
- Soil Science 10
- Soil Carbon and Nitrogen Dynamics 6
- Soil erosion and sediment transport 3
- Co-authors
- Jun Xia (5 shared papers)Junxu Chen (4 shared papers)Jinxing Zhou (9 shared papers)Like Ning (5 shared papers)Si Hong (4 shared papers)Ming Cui (3 shared papers)Guijing Li (3 shared papers)Quan Wang (1 shared paper)
- Journals
- Forests (5 papers)Agronomy (2 papers)Water (2 papers)PLoS ONE (2 papers)Climatic Change (1 paper)
- Partner nations
- ChinaUnited KingdomJapan
In The Last Decade
Long Wan
20 papers receiving 317 citations
Peers
Comparison fields: 5 of 44
- Soil Science 92
- Water Science and Technology 110
- Global and Planetary Change 141
- Earth-Surface Processes 26
- Atmospheric Science 65
Countries citing papers authored by Long Wan
This map shows the geographic impact of Long Wan'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 Long Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Wan more than expected).
Fields of papers citing papers by Long Wan
This network shows the impact of papers produced by Long Wan. 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 Long Wan. The network helps show where Long Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Wan, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 74 | |
| 2 | 2019 | 59 | |
| 3 | 2012 | 43 | |
| 4 | 2014 | 22 | |
| 5 | 2018 | 22 | |
| 6 | 2015 | 16 | |
| 7 | 2019 | 15 | |
| 8 | 2016 | 15 | |
| 9 | 2023 | 12 | |
| 10 | 2020 | 12 | |
| 11 | 2016 | 8 | |
| 12 | 2014 | 6 | |
| 13 | 2024 | 5 | |
| 14 | 2013 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 3 | |
| 18 | Spatio-temporal Analysis and Multi-variable Statistical Models of Extreme Drought Events in Yellow River Basin,China | 2012 | 2 |
| 19 | 2025 | 2 | |
| 20 | 2024 | 1 |
About Long Wan
Long Wan is a scholar working on Global and Planetary Change, Soil Science, Water Science and Technology, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 21 papers that have together received 327 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (6 papers), Soil Carbon and Nitrogen Dynamics (6 papers), Plant Water Relations and Carbon Dynamics (5 papers), Climate change impacts on agriculture (4 papers), Climate variability and models (4 papers), Soil erosion and sediment transport (3 papers), Flood Risk Assessment and Management (2 papers) and Hydrology and Sediment Transport Processes (2 papers). The work is most often cited by research in Soil Science (92 citations), Water Science and Technology (110 citations), Global and Planetary Change (141 citations), Earth-Surface Processes (26 citations) and Atmospheric Science (65 citations). Long Wan has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Jun Xia, Junxu Chen, Jinxing Zhou, Like Ning, Si Hong, Ming Cui, Guijing Li, Quan Wang, Bin Wu and Yuguo Liu. Their work appears in journals such as Forests, Agronomy, Water, PLoS ONE and Climatic Change.
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.