Bin Xun
Impact in
- Global and Planetary Change top 10%
- Land Use and Ecosystem Services
- Conservation, Biodiversity, and Resource Management
- Ecology top 10%
- Wildlife-Road Interactions and Conservation
- Wildlife Ecology and Conservation
- Remote Sensing in Agriculture
Papers in
-
- Land Use and Ecosystem Services 9
- Plant Water Relations and Carbon Dynamics 1
- Ecology 7
- Wildlife-Road Interactions and Conservation 5
- Wildlife Ecology and Conservation 3
- Co-authors
- Deyong Yu (7 shared papers)Peijun Shi (3 shared papers)Yupeng Liu (2 shared papers)Hongbo Shao (2 shared papers)Xue Wang (1 shared paper)Guoyi Han (1 shared paper)Wenquan Zhu (1 shared paper)Shiqiang Du (1 shared paper)
In The Last Decade
Bin Xun
15 papers receiving 394 citations
Peers
Comparison fields: 5 of 58
- Global and Planetary Change 263
- Ecology 183
- Water Science and Technology 80
- Ecological Modeling 21
- Health, Toxicology and Mutagenesis 64
Countries citing papers authored by Bin Xun
This map shows the geographic impact of Bin Xun'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 Bin Xun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Xun more than expected).
Fields of papers citing papers by Bin Xun
This network shows the impact of papers produced by Bin Xun. 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 Bin Xun. The network helps show where Bin Xun may publish in the future.
Co-authors
The 24 scholars most cited alongside Bin Xun, 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 | 2012 | 97 | |
| 2 | 2011 | 88 | |
| 3 | 2012 | 73 | |
| 4 | 2016 | 48 | |
| 5 | 2014 | 25 | |
| 6 | 2014 | 20 | |
| 7 | 2013 | 16 | |
| 8 | 2011 | 15 | |
| 9 | 2013 | 10 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2017 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2009 | 1 | |
| 15 | 2013 | 1 | |
| 16 | 2014 | 1 |
About Bin Xun
Bin Xun is a scholar working on Global and Planetary Change, Ecology, Nature and Landscape Conservation, Health, Toxicology and Mutagenesis and Artificial Intelligence, having authored 16 papers that have together received 407 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (9 papers), Wildlife-Road Interactions and Conservation (5 papers), Wildlife Ecology and Conservation (3 papers), Ecology and Vegetation Dynamics Studies (2 papers), Urban Green Space and Health (1 paper), Intelligent Tutoring Systems and Adaptive Learning (1 paper), Microplastics and Plastic Pollution (1 paper) and Plant Water Relations and Carbon Dynamics (1 paper). The work is most often cited by research in Global and Planetary Change (263 citations), Ecology (183 citations), Water Science and Technology (80 citations), Ecological Modeling (21 citations) and Health, Toxicology and Mutagenesis (64 citations). Bin Xun has collaborated with scholars based in China and Italy. Frequent co-authors include Deyong Yu, Peijun Shi, Yupeng Liu, Yupeng Liu, Hongbo Shao, Xue Wang, Guoyi Han, Wenquan Zhu, Shiqiang Du and Ruifang Hao. Their work appears in journals such as Ecological Engineering, Environmental Monitoring and Assessment, Water, Ecological Indicators and CLEAN - Soil Air Water.
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.