Dan Dai
Impact in
- Materials Chemistry top 10%
- Graphene research and applications
- Thermal properties of materials
- Advanced Thermoelectric Materials and Devices
- Surfaces, Coatings and Films top 5%
- Surface Modification and Superhydrophobicity
Papers in
-
- Graphene research and applications 16
- Diamond and Carbon-based Materials Research 5
- Thermal properties of materials 5
- MXene and MAX Phase Materials 5
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- Electrochemical sensors and biosensors 4
- Co-authors
- Cheng‐Te Lin (27 shared papers)Nan Jiang (23 shared papers)Jing Liu (1 shared paper)Yixin Zhou (1 shared paper)Xuedong Wu (2 shared papers)Qilong Yuan (11 shared papers)Hongyan Sun (7 shared papers)Hui Wang (1 shared paper)
- Journals
- Composites Communications (3 papers)Applied Sciences (2 papers)Nanomaterials (2 papers)Sensors (2 papers)Chinese Chemical Letters (2 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Dan Dai
51 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 111
- Materials Chemistry 704
- Surfaces, Coatings and Films 107
- Electrochemistry 82
- Polymers and Plastics 178
- Bioengineering 48
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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 130 | |
| 2 | 2011 | 125 | |
| 3 | 2018 | 117 | |
| 4 | 2008 | 102 | |
| 5 | 2017 | 83 | |
| 6 | 2020 | 71 | |
| 7 | 2017 | 67 | |
| 8 | 2017 | 58 | |
| 9 | 2014 | 54 | |
| 10 | 2019 | 45 | |
| 11 | 2017 | 35 | |
| 12 | 2017 | 34 | |
| 13 | 2021 | 31 | |
| 14 | 2021 | 31 | |
| 15 | 2019 | 22 | |
| 16 | 2018 | 21 | |
| 17 | 2021 | 20 | |
| 18 | 2020 | 20 | |
| 19 | 2019 | 17 | |
| 20 | 2016 | 16 |
About Dan Dai
Dan Dai is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering, Mechanical Engineering and Molecular Biology, having authored 52 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), Diamond and Carbon-based Materials Research (5 papers), Thermal properties of materials (5 papers), MXene and MAX Phase Materials (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Electrochemical sensors and biosensors (4 papers) and Graphene and Nanomaterials Applications (4 papers). The work is most often cited by research in Materials Chemistry (704 citations), Surfaces, Coatings and Films (107 citations), Electrochemistry (82 citations), Polymers and Plastics (178 citations) and Bioengineering (48 citations). Dan Dai has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Cheng‐Te Lin, Nan Jiang, Jing Liu, Yixin Zhou, Xuedong Wu, Qilong Yuan, Hongyan Sun, Hui Wang, Jinhong Yu and Chen Ye. Their work appears in journals such as Composites Communications, Applied Sciences, Nanomaterials, Sensors and Chinese Chemical 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.