Dan Dai
Impact in
- Surfaces, Coatings and Films top 5%
- Surface Modification and Superhydrophobicity
- Materials Chemistry top 10%
- Graphene research and applications
- Thermal properties of materials
- Advanced Thermoelectric Materials and Devices
Papers in ⓘ
-
- Graphene research and applications 16
- Thermal properties of materials 5
- Diamond and Carbon-based Materials Research 5
- MXene and MAX Phase Materials 5
- Co-authors
- Nan Jiang (23 shared papers)Cheng‐Te Lin (27 shared papers)Jing Liu (1 shared paper)Yixin Zhou (1 shared paper)Xuedong Wu (2 shared papers)Hui Wang (1 shared paper)Hongyan Sun (7 shared papers)Qilong Yuan (11 shared papers)
- Journals
- Composites Communications (3 papers)Applied Surface Science (2 papers)Chinese Chemical Letters (2 papers)Biosensors (2 papers)Nanomaterials (2 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Dan Dai
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 106
- Surfaces, Coatings and Films 105
- Materials Chemistry 686
- Electrochemistry 81
- Polymers and Plastics 174
- Bioengineering 45
Countries citing papers authored by Dan Dai
This map shows the geographic impact of Dan 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 Dan Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Dai more than expected).
Fields of papers citing papers by Dan Dai
This network shows the impact of papers produced by Dan 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 Dan Dai. The network helps show where Dan Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 126 | |
| 2 | 2011 | 117 | |
| 3 | 2018 | 114 | |
| 4 | 2008 | 101 | |
| 5 | 2017 | 81 | |
| 6 | 2020 | 69 | |
| 7 | 2017 | 66 | |
| 8 | 2017 | 56 | |
| 9 | 2014 | 53 | |
| 10 | 2019 | 43 | |
| 11 | 2017 | 34 | |
| 12 | 2017 | 34 | |
| 13 | 2021 | 29 | |
| 14 | 2021 | 28 | |
| 15 | 2019 | 22 | |
| 16 | 2018 | 21 | |
| 17 | 2020 | 19 | |
| 18 | 2021 | 18 | |
| 19 | 2019 | 17 | |
| 20 | 2016 | 16 |
About Dan Dai
Dan Dai is a scholar working on Materials Chemistry, Business and International Management, Bioengineering, Electrochemistry and General Materials Science, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Graphene research and applications (16 papers), Aluminum Alloys Composites Properties (6 papers), Thermal properties of materials (5 papers), Diamond and Carbon-based Materials Research (5 papers), MXene and MAX Phase Materials (5 papers), Electrochemical sensors and biosensors (4 papers), Graphene and Nanomaterials Applications (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (105 citations), Materials Chemistry (686 citations), Electrochemistry (81 citations), Polymers and Plastics (174 citations) and Bioengineering (45 citations). Dan Dai has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Nan Jiang, Cheng‐Te Lin, Jing Liu, Yixin Zhou, Xuedong Wu, Hui Wang, Hongyan Sun, Qilong Yuan, Jinhong Yu and Chen Ye. Their work appears in journals such as Composites Communications, Applied Surface Science, Chinese Chemical Letters, Biosensors and Nanomaterials.
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.