Kun Dai

21.9k total citations · 10 hit papers
338 papers, 19.0k citations indexed

About

Kun Dai is a scholar working on Biomedical Engineering, Polymers and Plastics and Mechanical Engineering. According to data from OpenAlex, Kun Dai has authored 338 papers receiving a total of 19.0k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Biomedical Engineering, 165 papers in Polymers and Plastics and 67 papers in Mechanical Engineering. Recurrent topics in Kun Dai's work include Advanced Sensor and Energy Harvesting Materials (163 papers), Conducting polymers and applications (109 papers) and Polymer crystallization and properties (49 papers). Kun Dai is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (163 papers), Conducting polymers and applications (109 papers) and Polymer crystallization and properties (49 papers). Kun Dai collaborates with scholars based in China, United States and Australia. Kun Dai's 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 and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

In The Last Decade

Kun Dai

324 papers receiving 18.7k citations

Hit Papers

Lightweight conductive gr... 2015 2026 2018 2022 2016 2018 2015 2016 2017 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kun Dai 11.8k 8.9k 3.7k 3.6k 3.4k 338 19.0k
Guoqiang Zheng 10.2k 0.9× 8.4k 0.9× 3.0k 0.8× 2.4k 0.7× 1.8k 0.5× 233 14.7k
Changyu Shen 12.9k 1.1× 10.9k 1.2× 5.7k 1.5× 5.8k 1.6× 6.4k 1.9× 622 28.6k
Xia Cao 8.3k 0.7× 6.3k 0.7× 3.0k 0.8× 3.6k 1.0× 2.4k 0.7× 205 14.0k
Jiefeng Gao 7.2k 0.6× 5.6k 0.6× 2.7k 0.7× 3.5k 1.0× 3.5k 1.0× 282 15.5k
Shao‐Yun Fu 4.9k 0.4× 8.6k 1.0× 3.2k 0.9× 7.4k 2.1× 3.1k 0.9× 348 20.9k
Jiajie Liang 9.0k 0.8× 4.9k 0.5× 7.1k 1.9× 6.9k 1.9× 4.6k 1.4× 123 17.1k
Hao Wang 5.3k 0.5× 3.1k 0.3× 5.4k 1.5× 3.9k 1.1× 4.4k 1.3× 506 15.9k
Xianhu Liu 5.7k 0.5× 5.0k 0.6× 6.9k 1.9× 6.7k 1.9× 5.1k 1.5× 365 21.4k
Chi Zhang 13.7k 1.2× 8.6k 1.0× 4.8k 1.3× 2.0k 0.6× 2.9k 0.8× 457 18.1k
Geoffrey M. Spinks 13.3k 1.1× 8.9k 1.0× 4.3k 1.2× 4.7k 1.3× 3.4k 1.0× 332 21.5k

Countries citing papers authored by Kun Dai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kun Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Dai. A scholar is included among the top collaborators of Kun Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kun Dai. Kun Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Yu, Xiaoqing, et al.. (2025). Data-driven prediction of compressive strength for ultra-high performance concrete exposed to elevated temperatures. Materials Today Communications. 42. 111518–111518. 2 indexed citations
3.
Chen, Meng, Wei Zhai, Guoqiang Zheng, et al.. (2025). Wearable triboelectric Ag/thermoplastic polyurethane yarns with core-shell structure for energy harvesting and underwater sensing. Chemical Engineering Journal. 510. 161794–161794. 3 indexed citations
4.
Wang, Kuan, Xinpeng Li, Kun Dai, et al.. (2025). Multi-channel charge transfer of double Z-scheme LaVO4/WO3@HxV2O5 heterojunction for efficient visible-light photo-thermo synergy oxidation of cyclohexane. Applied Catalysis A General. 697. 120231–120231. 2 indexed citations
5.
Li, Hualong, Ye Shi, Hui Rong, & Kun Dai. (2025). Effect of additives on the performance of 3D-printing ultra-high performance concrete. Journal of Building Engineering. 104. 112451–112451. 2 indexed citations
6.
Yuan, Kui, Jiannan Li, Yi Zhao, et al.. (2024). Muscle-inspired anisotropic conductive foams with low-detection limit and wide linear sensing range for abnormal gait monitoring. Nano Energy. 124. 109490–109490. 22 indexed citations
7.
Zhao, Xinxin, Jie Yang, Yi Zhao, et al.. (2024). Flexible pressure sensor based on CNTs/CB/PDMS sponge with porous and microdome structures for sitting posture discrimination. Chemical Engineering Journal. 502. 157878–157878. 13 indexed citations
8.
Zhai, Wei, Kun Dai, Hu Liu, Chuntai Liu, & Changyu Shen. (2024). Deep learning-assisted intelligent wearable precise cardiovascular monitoring system. Science Bulletin. 69(9). 1176–1178. 2 indexed citations
9.
Wu, Jinyi, Dan Liŭ, Yuxuan Sun, et al.. (2024). Ultralight anisotropic Ti3C2Tx MXene/Carbon nanotube hybrid aerogel for highly efficient solar steam generation. Carbon. 223. 118976–118976. 23 indexed citations
10.
Zhao, Simin, Fei Peng, Bin Hu, et al.. (2024). Facilely fabricated polyethylene film composed of directional microfibrils for passive radiative cooling. Polymer. 299. 126979–126979. 10 indexed citations
11.
Li, Jiannan, Yi Zhao, Wei Zhai, et al.. (2024). Highly aligned electrospun film with wave-like structure for multidirectional strain and visual sensing. Chemical Engineering Journal. 485. 149952–149952. 15 indexed citations
12.
Ying, Hao, et al.. (2024). Tendril-inspired programmable soft actuator based on bilayer thermoplastic film. Chemical Engineering Journal. 503. 158524–158524.
13.
Dai, Kun, et al.. (2023). Primary phase transformation mechanism in a hypereutectic Al-Ce alloy during rapid solidification. Materials Letters. 340. 134172–134172. 11 indexed citations
15.
Hu, Yuanbiao, et al.. (2023). Development of Automatic Electric Drive Drilling System for Core Drilling. Applied Sciences. 13(2). 1059–1059. 5 indexed citations
16.
Ma, Wenbo, et al.. (2023). Facile preparation of robust microgrooves based photonic crystals film for anti-counterfeiting. Polymer. 276. 125889–125889. 11 indexed citations
17.
Zhao, Xinxin, Hao Guo, Wei Zhai, et al.. (2023). Hollow-porous fiber-shaped strain sensor with multiple wrinkle-crack microstructure for strain visualization and wind monitoring. Nano Energy. 108. 108197–108197. 90 indexed citations
18.
Zhan, Pengfei, Yanyan Jia, Wei Zhai, et al.. (2023). A fibrous flexible strain sensor with Ag nanoparticles and carbon nanotubes for synergetic high sensitivity and large response range. Composites Part A Applied Science and Manufacturing. 167. 107431–107431. 39 indexed citations
19.
Peng, Fei, Di Liu, Guoqiang Zheng, et al.. (2023). Facilely fabricated Janus polymer film for actuator and self-powered sensor. Composites Part A Applied Science and Manufacturing. 177. 107908–107908. 1 indexed citations
20.
Li, Xinyu, Jiannan Li, Yi Zhao, et al.. (2023). Multi-stimuli-responsive Ti3C2TX MXene-based actuators actualizing intelligent interpretation of traditional shadow play. Carbon. 218. 118652–118652. 12 indexed citations

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.

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