Kun Dai
Impact in
- Polymers and Plastics top 0.05%
- Conducting polymers and applications
- Biomedical Engineering top 0.05%
- Advanced Sensor and Energy Harvesting Materials
- Dielectric materials and actuators
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 163
- Dielectric materials and actuators 28
-
- Conducting polymers and applications 109
- Polymer crystallization and properties 49
- Co-authors
- Chuntai Liu (183 shared papers)Guoqiang Zheng (160 shared papers)Changyu Shen (116 shared papers)Leon L. Shaw (20 shared papers)Changyu Shen (55 shared papers)Zhanhu Guo (24 shared papers)Zhong‐Ming Li (39 shared papers)Hu Liu (13 shared papers)
- Journals
- Chemical Engineering Journal (17 papers)Polymer (16 papers)ACS Applied Materials & Interfaces (16 papers)Journal of Materials Chemistry C (15 papers)Materials Letters (13 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kun Dai
318 papers receiving 19.2k citations
Kun Dai's Hit Papers
Peers
Comparison fields: 5 of 158
- Polymers and Plastics 9.0k
- Biomedical Engineering 12.0k
- Electronic, Optical and Magnetic Materials 3.5k
- Cognitive Neuroscience 2.5k
- Nuclear Energy and Engineering 60
Countries citing papers authored by Kun Dai
This map shows the geographic impact of Kun 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 Kun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Dai more than expected).
Fields of papers citing papers by Kun Dai
This network shows the impact of papers produced by Kun 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 Kun Dai. The network helps show where Kun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun 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 328 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Lightweight conductive graphene/thermoplastic polyurethane foams with ultrahigh compressibility for piezoresistive sensing Hit paper breakdown → | 2016 | 614 |
| 2 | Electrically conductive polymer composites for smart flexible strain sensors: a critical review Hit paper breakdown → | 2018 | 602 |
| 3 | Electrically conductive thermoplastic elastomer nanocomposites at ultralow graphene loading levels for strain sensor applications Hit paper breakdown → | 2015 | 516 |
| 4 | Electrically conductive strain sensing polyurethane nanocomposites with synergistic carbon nanotubes and graphene bifillers Hit paper breakdown → | 2016 | 494 |
| 5 | Flexible electrically resistive-type strain sensors based on reduced graphene oxide-decorated electrospun polymer fibrous mats for human motion monitoring Hit paper breakdown → | 2017 | 445 |
| 6 | Continuously prepared highly conductive and stretchable SWNT/MWNT synergistically composited electrospun thermoplastic polyurethane yarns for wearable sensing Hit paper breakdown → | 2017 | 422 |
| 7 | 2016 | 325 | |
| 8 | 2018 | 324 | |
| 9 | Ultra-Stretchable, durable and conductive hydrogel with hybrid double network as high performance strain sensor and stretchable triboelectric nanogenerator Hit paper breakdown → | 2020 | 318 |
| 10 | Lightweight and Robust Carbon Nanotube/Polyimide Foam for Efficient and Heat-Resistant Electromagnetic Interference Shielding and Microwave Absorption Hit paper breakdown → | 2020 | 297 |
| 11 | 2019 | 295 | |
| 12 | Environment Tolerant Conductive Nanocomposite Organohydrogels as Flexible Strain Sensors and Power Sources for Sustainable Electronics Hit paper breakdown → | 2021 | 294 |
| 13 | 2017 | 264 | |
| 14 | Asymmetric conductive polymer composite foam for absorption dominated ultra-efficient electromagnetic interference shielding with extremely low reflection characteristics Hit paper breakdown → | 2020 | 258 |
| 15 | 2016 | 243 | |
| 16 | 2017 | 240 | |
| 17 | 2020 | 232 | |
| 18 | 2018 | 224 | |
| 19 | 2019 | 216 | |
| 20 | 2016 | 206 |
About Kun Dai
Kun Dai is a scholar working on Biomedical Engineering, Polymers and Plastics, Mechanical Engineering, Materials Chemistry and Electrical and Electronic Engineering, having authored 328 papers that have together received 19.4k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (163 papers), Conducting polymers and applications (109 papers), Polymer crystallization and properties (49 papers), Tactile and Sensory Interactions (38 papers), Dielectric materials and actuators (28 papers), Electromagnetic wave absorption materials (24 papers), Carbon Nanotubes in Composites (23 papers) and Gas Sensing Nanomaterials and Sensors (19 papers). The work is most often cited by research in Polymers and Plastics (9.0k citations), Biomedical Engineering (12.0k citations), Electronic, Optical and Magnetic Materials (3.5k citations), Cognitive Neuroscience (2.5k citations) and Nuclear Energy and Engineering (60 citations). Kun Dai has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chuntai Liu, Guoqiang Zheng, Changyu Shen, Leon L. Shaw, Changyu Shen, Zhanhu Guo, Zhong‐Ming Li, Hu Liu, Ding‐Xiang Yan and Jiang Guo. Their work appears in journals such as Chemical Engineering Journal, Polymer, ACS Applied Materials & Interfaces, Journal of Materials Chemistry C and Materials 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.