Xiaobin Dai
Impact in
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Surfaces, Coatings and Films top 10%
Papers in
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- Polymer Surface Interaction Studies 7
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- Micro and Nano Robotics 7
- Co-authors
- Li‐Tang Yan (32 shared papers)Ziyang Xu (8 shared papers)Guolong Zhu (9 shared papers)Xuanyu Zhang (12 shared papers)Lijuan Gao (11 shared papers)Ziyang Xu (5 shared papers)Yang Ye (3 shared papers)Haixiao Wan (8 shared papers)
- Journals
- Journal of the American Chemical Society (4 papers)ACS Nano (4 papers)Nature Communications (4 papers)Nano Letters (3 papers)Physical Review Letters (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xiaobin Dai
36 papers receiving 705 citations
Peers
Comparison fields: 5 of 87
- Biomaterials 118
- Surfaces, Coatings and Films 58
- Polymers and Plastics 109
- Molecular Medicine 36
- Materials Chemistry 254
Countries citing papers authored by Xiaobin Dai
This map shows the geographic impact of Xiaobin Dai'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 Xiaobin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobin Dai more than expected).
Fields of papers citing papers by Xiaobin Dai
This network shows the impact of papers produced by Xiaobin Dai. 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 Xiaobin Dai. The network helps show where Xiaobin Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobin Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 108 | |
| 2 | 2022 | 60 | |
| 3 | 2018 | 54 | |
| 4 | 2021 | 53 | |
| 5 | 2023 | 52 | |
| 6 | 2021 | 34 | |
| 7 | 2022 | 33 | |
| 8 | 2020 | 33 | |
| 9 | 2019 | 30 | |
| 10 | 2022 | 23 | |
| 11 | 2022 | 19 | |
| 12 | 2021 | 17 | |
| 13 | 2024 | 17 | |
| 14 | 2021 | 17 | |
| 15 | 2018 | 17 | |
| 16 | 2019 | 16 | |
| 17 | 2018 | 14 | |
| 18 | 2023 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2023 | 11 |
About Xiaobin Dai
Xiaobin Dai is a scholar working on Surfaces, Coatings and Films, Condensed Matter Physics, Biomaterials, Materials Chemistry and Mechanical Engineering, having authored 40 papers that have together received 716 indexed citations. Recurring topics across this work include Pickering emulsions and particle stabilization (8 papers), Micro and Nano Robotics (7 papers), Polymer Surface Interaction Studies (7 papers), Lipid Membrane Structure and Behavior (6 papers), Supramolecular Self-Assembly in Materials (5 papers), Material Dynamics and Properties (5 papers), Intermetallics and Advanced Alloy Properties (4 papers) and Nanopore and Nanochannel Transport Studies (4 papers). The work is most often cited by research in Biomaterials (118 citations), Surfaces, Coatings and Films (58 citations), Polymers and Plastics (109 citations), Molecular Medicine (36 citations) and Materials Chemistry (254 citations). Xiaobin Dai has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Li‐Tang Yan, Ziyang Xu, Guolong Zhu, Xuanyu Zhang, Lijuan Gao, Ziyang Xu, Yang Ye, Haixiao Wan, Pengyu Chen and Yiran Li. Their work appears in journals such as Journal of the American Chemical Society, ACS Nano, Nature Communications, Nano Letters and Physical Review Letters.
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.