Bin Ai
- Global and Planetary Change top 1%
- Land Use and Ecosystem Services 25
- Building and Construction top 1%
- Urban Design and Spatial Analysis 6
- Transportation top 2%
- Atmospheric Science top 5%
- Remote Sensing and Land Use 8
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- Marine and coastal ecosystems 8
- Oceanographic and Atmospheric Processes 5
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- Coastal wetland ecosystem dynamics 8
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- Remote-Sensing Image Classification 5
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- Coastal and Marine Dynamics 4
- Journals
- Remote Sensing (4 papers)Journal of Geophysical Research Oceans (3 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)
- Partner nations
- ChinaUnited StatesRwanda
In The Last Decade
Bin Ai
44 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 112
- Global and Planetary Change 1.5k
- Building and Construction 469
- Transportation 210
- Atmospheric Science 471
- Health, Toxicology and Mutagenesis 350
Countries citing papers authored by Bin Ai
This map shows the geographic impact of Bin Ai'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 Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Ai more than expected).
Fields of papers citing papers by Bin Ai
This network shows the impact of papers produced by Bin Ai. 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 Ai. The network helps show where Bin Ai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bin Ai, 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 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2022 | 0 | |
| 11 | 2022 | 5 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 13 | |
| 14 | 2021 | 32 | |
| 15 | 2019 | 50 | |
| 16 | 2019 | 4 | |
| 17 | 2019 | 30 | |
| 18 | 2015 | 20 | |
| 19 | 2015 | 73 | |
| 20 | 2008 | 104 |
About Bin Ai
Bin Ai is a scholar working on Global and Planetary Change, Oceanography, Atmospheric Science, Earth-Surface Processes and Media Technology, having authored 47 papers that have together received 2.0k indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (25 papers), Remote Sensing and Land Use (8 papers), Marine and coastal ecosystems (8 papers), Coastal wetland ecosystem dynamics (8 papers), Urban Design and Spatial Analysis (6 papers), Oceanographic and Atmospheric Processes (5 papers), Remote-Sensing Image Classification (5 papers) and Coastal and Marine Dynamics (4 papers). The work is most often cited by research in Global and Planetary Change (1.5k citations), Building and Construction (469 citations), Transportation (210 citations), Atmospheric Science (471 citations) and Health, Toxicology and Mutagenesis (350 citations). Bin Ai has collaborated with scholars based in China, United States and Rwanda. Frequent co-authors include Xia Li, Xiaoping Liu, Yimin Chen, Shaoying Li, Zhangzhi Tan, Jun Zhao, Lei Ma, Chunlei Ma, Jinqiang He and Lin Liu. Their work appears in journals such as Remote Sensing, Journal of Geophysical Research Oceans, IEEE Transactions on Geoscience and Remote Sensing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Ecological Modelling.
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.