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 graphene/thermoplastic polyurethan... 2015 2026 2018 2022 2016 2018 2015 2016 2017 200 400 600

Peers

Kun Dai
Comparison fields: 5 of 161
  • Biomedical Engineering 11.8k
  • Polymers and Plastics 8.9k
  • Electrical and Electronic Engineering 3.7k
  • Materials Chemistry 3.6k
  • Electronic, Optical and Magnetic Materials 3.4k
Replace Guoqiang Zheng with:
Guoqiang Zheng China
Changyu Shen China
Xia Cao China
Jiefeng Gao China
Shao‐Yun Fu China
Jiajie Liang China
Hao Wang China
Xianhu Liu China
Chi Zhang China
Yuan‐Qing Li China
Guoqiang Zheng China View profile →
Citations per field, relative to Kun Dai
Kun Dai · 1×
Citations per year, relative to Kun Dai
Kun Dai · 1×

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
# Work Indexed citations
1 3
2 2
3 2
4 1
5 0
6 2
7 10
8 15
9 0
10 22
11 13
12 2
13 5
14 11
15 90
16 39
17 1
18 12
19 11
20 41

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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2026