Bin Ai
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- Plant Diversity and Evolution 4
- Media Technology top 10%
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- Genetic diversity and population structure 5
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- Health disparities and outcomes 5
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- Lung Cancer Treatments and Mutations 8
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- Plant and Fungal Species Descriptions 6
- Genomics and Phylogenetic Studies 5
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- Remote Sensing and Land Use 4
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- Lung Cancer Research Studies 4
Bin Ai
47 papers receiving 548 citations
Peers
Comparison fields: 5 of 119
- Ecology, Evolution, Behavior and Systematics 145
- Neuropsychology and Physiological Psychology 9
- Media Technology 44
- Genetics 132
- Health 33
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 | 8 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 22 | |
| 6 | 2022 | 6 | |
| 7 | 2021 | 6 | |
| 8 | 2021 | 22 | |
| 9 | 2020 | 4 | |
| 10 | 2018 | 4 | |
| 11 | 2017 | 26 | |
| 12 | 2016 | 2 | |
| 13 | 2016 | 12 | |
| 14 | 2014 | 3 | |
| 15 | 2014 | 18 | |
| 16 | A Study of the Social Communication of the Urban Elderly People in Tibet | 2012 | 1 |
| 17 | 2008 | 7 | |
| 18 | Genetic variation in island and mainland populations of Ficus pumila (Moraceae) in eastern Zhejiang of China | 2008 | 18 |
| 19 | 2008 | 1 | |
| 20 | An Automatic Classification Model of Remote-Sensing Image Based on Pixel Information Decomposition Combined with Decision Tree | 2004 | 1 |
About Bin Ai
Bin Ai is a scholar working on Neuropsychology and Physiological Psychology, Health, Oncology, Media Technology and Ecology, Evolution, Behavior and Systematics, having authored 47 papers that have together received 573 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (8 papers), Plant and Fungal Species Descriptions (6 papers), Genomics and Phylogenetic Studies (5 papers), Health disparities and outcomes (5 papers), Genetic diversity and population structure (5 papers), Remote Sensing and Land Use (4 papers), Lung Cancer Research Studies (4 papers) and Plant Diversity and Evolution (4 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (145 citations), Neuropsychology and Physiological Psychology (9 citations), Media Technology (44 citations), Genetics (132 citations) and Health (33 citations). Bin Ai has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ming Kang, Hongwen Huang, Yong Gao, Hanghui Kong, Xia Li, Junjie Tao, Xiaoyong Chen, Jinqiang He, Xiaoping Liu and Lin Liu. Their work appears in journals such as Scientific Reports, Chemical Engineering Journal, Frontiers in Immunology, International Journal of Environmental Research and Public Health and Archives of Gerontology and Geriatrics.
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.