Haishuo Wei
Impact in
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- Rangeland Management and Livestock Ecology
- Global and Planetary Change top 10%
- Land Use and Ecosystem Services
- Climate variability and models
- Plant Water Relations and Carbon Dynamics
Papers in
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- Rangeland Management and Livestock Ecology 6
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- Remote Sensing and Land Use 4
- Co-authors
- Juanle Wang (8 shared papers)Davaadorj Davaasuren (6 shared papers)Altansukh Ochir (6 shared papers)Sonomdagva Chonokhuu (5 shared papers)Ge Li (2 shared papers)Biao Cao (4 shared papers)Pengfei Li (1 shared paper)Jianbo Qi (4 shared papers)
In The Last Decade
Haishuo Wei
17 papers receiving 273 citations
Peers
Comparison fields: 5 of 61
- Management, Monitoring, Policy and Law 83
- Global and Planetary Change 127
- Ecology 140
- Atmospheric Science 62
- Environmental Engineering 48
Countries citing papers authored by Haishuo Wei
This map shows the geographic impact of Haishuo Wei'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 Haishuo Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haishuo Wei more than expected).
Fields of papers citing papers by Haishuo Wei
This network shows the impact of papers produced by Haishuo Wei. 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 Haishuo Wei. The network helps show where Haishuo Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Haishuo Wei, 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 | 2018 | 75 | |
| 2 | 2020 | 43 | |
| 3 | 2020 | 26 | |
| 4 | 2019 | 19 | |
| 5 | 2019 | 16 | |
| 6 | 2019 | 14 | |
| 7 | 2023 | 14 | |
| 8 | 2024 | 13 | |
| 9 | 2022 | 13 | |
| 10 | 2024 | 12 | |
| 11 | 2019 | 11 | |
| 12 | 2024 | 6 | |
| 13 | 2025 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 |
About Haishuo Wei
Haishuo Wei is a scholar working on Management, Monitoring, Policy and Law, Atmospheric Science, Global and Planetary Change, Ecology and Artificial Intelligence, having authored 18 papers that have together received 279 indexed citations. Recurring topics across this work include Rangeland Management and Livestock Ecology (6 papers), Remote Sensing in Agriculture (5 papers), Remote-Sensing Image Classification (5 papers), Remote Sensing and Land Use (4 papers), Land Use and Ecosystem Services (3 papers), Flood Risk Assessment and Management (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Management, Monitoring, Policy and Law (83 citations), Global and Planetary Change (127 citations), Ecology (140 citations), Atmospheric Science (62 citations) and Environmental Engineering (48 citations). Haishuo Wei has collaborated with scholars based in China, Mongolia and Australia. Frequent co-authors include Juanle Wang, Davaadorj Davaasuren, Altansukh Ochir, Sonomdagva Chonokhuu, Ge Li, Biao Cao, Pengfei Li, Jianbo Qi, Faith Ka Shun Chan and Qiao Wang. Their work appears in journals such as International Journal of Applied Earth Observation and Geoinformation, Sustainability, International Journal of Digital Earth, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Environmental Development.
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.