Bin Ai
About
In The Last Decade
Bin Ai
85 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 94
- Biomedical Engineering 1000
- Electronic, Optical and Magnetic Materials 791
- Electrical and Electronic Engineering 581
- Atomic and Molecular Physics, and Optics 318
- Materials Chemistry 298
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 of co-authors of Bin Ai
This figure shows the co-authorship network connecting the top 25 collaborators of Bin Ai. A scholar is included among the top collaborators of Bin Ai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bin Ai. Bin Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 42 | |
| 12 | 43 | |
| 13 | 16 | |
| 14 | 35 | |
| 15 | 10 | |
| 16 | 11 | |
| 17 | 21 | |
| 18 | 7 | |
| 19 | 53 | |
| 20 | 98 |
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.