Quanquan Dai
Impact in
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- Carbon dioxide utilization in catalysis
- Polymers and Plastics top 5%
- Polymer composites and self-healing
- Polymer Nanocomposites and Properties
Papers in
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- Catalysis for Biomass Conversion 6
- Advanced Sensor and Energy Harvesting Materials 5
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- Mesoporous Materials and Catalysis 6
- Co-authors
- Chenxi Bai (24 shared papers)Jianyun He (16 shared papers)Lingyun Huang (12 shared papers)Yinxin Yang (11 shared papers)Ruiyao Wu (10 shared papers)Weifeng Fan (9 shared papers)Zhen Niu (7 shared papers)Xuequan Zhang (3 shared papers)
- Journals
- Polymer (3 papers)ACS Sustainable Chemistry & Engineering (3 papers)ACS Applied Materials & Interfaces (3 papers)RSC Advances (2 papers)Chinese Journal of Polymer Science (2 papers)
- Partner nations
- China
In The Last Decade
Quanquan Dai
25 papers receiving 555 citations
Peers
Comparison fields: 5 of 40
- Process Chemistry and Technology 78
- Polymers and Plastics 337
- Biomaterials 162
- Organic Chemistry 249
- Materials Chemistry 141
Countries citing papers authored by Quanquan Dai
This map shows the geographic impact of Quanquan 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 Quanquan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quanquan Dai more than expected).
Fields of papers citing papers by Quanquan Dai
This network shows the impact of papers produced by Quanquan 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 Quanquan Dai. The network helps show where Quanquan Dai may publish in the future.
Co-authors
The 18 scholars most cited alongside Quanquan 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2022 | 82 | |
| 3 | 2010 | 65 | |
| 4 | 2022 | 48 | |
| 5 | 2017 | 43 | |
| 6 | 2022 | 34 | |
| 7 | 2021 | 34 | |
| 8 | 2020 | 21 | |
| 9 | 2022 | 18 | |
| 10 | 2019 | 16 | |
| 11 | 2021 | 14 | |
| 12 | 2019 | 13 | |
| 13 | 2017 | 12 | |
| 14 | 2019 | 12 | |
| 15 | 2020 | 9 | |
| 16 | 2018 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2021 | 5 |
About Quanquan Dai
Quanquan Dai is a scholar working on Biomedical Engineering, Materials Chemistry, Biomaterials, Polymers and Plastics and Organic Chemistry, having authored 25 papers that have together received 558 indexed citations. Recurring topics across this work include Polymer composites and self-healing (9 papers), biodegradable polymer synthesis and properties (6 papers), Catalysis for Biomass Conversion (6 papers), Mesoporous Materials and Catalysis (6 papers), Organometallic Complex Synthesis and Catalysis (5 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Electrospun Nanofibers in Biomedical Applications (4 papers) and Catalysis and Oxidation Reactions (4 papers). The work is most often cited by research in Process Chemistry and Technology (78 citations), Polymers and Plastics (337 citations), Biomaterials (162 citations), Organic Chemistry (249 citations) and Materials Chemistry (141 citations). Quanquan Dai has collaborated with scholars based in China. Frequent co-authors include Chenxi Bai, Jianyun He, Lingyun Huang, Yinxin Yang, Ruiyao Wu, Weifeng Fan, Zhen Niu, Xuequan Zhang, Yanlong Qi and Yunqi Li. Their work appears in journals such as Polymer, ACS Sustainable Chemistry & Engineering, ACS Applied Materials & Interfaces, RSC Advances and Chinese Journal of Polymer Science.
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.