Yu Dai
Impact in
- Molecular Medicine top 2%
- Biomaterials top 2%
Papers in
-
- Nanocluster Synthesis and Applications 17
-
- Advanced Polymer Synthesis and Characterization 15
- Nanomaterials for catalytic reactions 10
- Co-authors
- Xiaojin Zhang (71 shared papers)Fan Xia (48 shared papers)Shengli Chen (7 shared papers)Shengping Wang (9 shared papers)Wanglong Zhang (5 shared papers)Shijun Lin (10 shared papers)Yiwei Zhang (4 shared papers)Jingxian Yu (5 shared papers)
- Journals
- Journal of Nanoparticle Research (6 papers)Analytical Chemistry (6 papers)Macromolecular Rapid Communications (6 papers)Polymer Chemistry (5 papers)Chemical Engineering Journal (5 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yu Dai
137 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 133
- Molecular Medicine 222
- Biomaterials 557
- Polymers and Plastics 454
- Renewable Energy, Sustainability and the Environment 497
- Organic Chemistry 651
Countries citing papers authored by Yu Dai
This map shows the geographic impact of Yu 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 Yu Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Dai more than expected).
Fields of papers citing papers by Yu Dai
This network shows the impact of papers produced by Yu 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 Yu Dai. The network helps show where Yu Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 142 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 199 | |
| 2 | 2021 | 152 | |
| 3 | 2008 | 129 | |
| 4 | 2022 | 125 | |
| 5 | 2020 | 99 | |
| 6 | 2016 | 99 | |
| 7 | 2016 | 93 | |
| 8 | 2021 | 87 | |
| 9 | 2020 | 79 | |
| 10 | 2020 | 70 | |
| 11 | 2018 | 70 | |
| 12 | 2019 | 68 | |
| 13 | 2012 | 64 | |
| 14 | 2022 | 61 | |
| 15 | 2017 | 58 | |
| 16 | 2015 | 58 | |
| 17 | 2011 | 53 | |
| 18 | 2018 | 53 | |
| 19 | 2021 | 51 | |
| 20 | 2015 | 51 |
About Yu Dai
Yu Dai is a scholar working on Materials Chemistry, Organic Chemistry, Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering, having authored 142 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (17 papers), Nanocluster Synthesis and Applications (17 papers), Advanced Polymer Synthesis and Characterization (15 papers), Fuel Cells and Related Materials (14 papers), Electrocatalysts for Energy Conversion (13 papers), Dendrimers and Hyperbranched Polymers (12 papers), Nanopore and Nanochannel Transport Studies (11 papers) and Nanomaterials for catalytic reactions (10 papers). The work is most often cited by research in Molecular Medicine (222 citations), Biomaterials (557 citations), Polymers and Plastics (454 citations), Renewable Energy, Sustainability and the Environment (497 citations) and Organic Chemistry (651 citations). Yu Dai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaojin Zhang, Fan Xia, Shengli Chen, Shengping Wang, Wanglong Zhang, Shijun Lin, Yiwei Zhang, Jingxian Yu, Zhigao Yang and Ren‐Xi Zhuo. Their work appears in journals such as Journal of Nanoparticle Research, Analytical Chemistry, Macromolecular Rapid Communications, Polymer Chemistry and Chemical Engineering Journal.
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.