Kai Yu
Impact in
- Polymers and Plastics top 0.1%
- Polymer composites and self-healing
- Conducting polymers and applications
- Process Chemistry and Technology top 0.5%
Papers in
-
- Polymer composites and self-healing 90
- Conducting polymers and applications 17
- Co-authors
- H. Jerry QiMartin L. DunnWei ZhangPhilip TayntonYinghua JinJinsong LengQian ShiChristopher M. Yakacki
- Journals
- Soft Matter (12 papers)Journal of the Mechanics and Physics of Solids (6 papers)Polymer (5 papers)RSC Advances (5 papers)Smart Materials and Structures (5 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Kai Yu
124 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Polymers and Plastics 5.6k
- Process Chemistry and Technology 515
- Mechanical Engineering 3.2k
- Biomaterials 1.0k
- Automotive Engineering 900
Countries citing papers authored by Kai Yu
This map shows the geographic impact of Kai Yu'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 Kai Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Yu more than expected).
Fields of papers citing papers by Kai Yu
This network shows the impact of papers produced by Kai Yu. 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 Kai Yu. The network helps show where Kai Yu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kai Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 6 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 42 | |
| 8 | 2024 | 27 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 11 | |
| 11 | 2024 | 12 | |
| 12 | 2023 | 57 | |
| 13 | 2022 | 1 | |
| 14 | 2021 | 105 | |
| 15 | 2021 | 48 | |
| 16 | 2019 | 34 | |
| 17 | 2018 | 17 | |
| 18 | 2017 | 12 | |
| 19 | 2014 | 218 | |
| 20 | Shape Memory Polymers: Mechanisms and Constitutive Models | 2012 | 2 |
About Kai Yu
Kai Yu is a scholar working on Polymers and Plastics, Process Chemistry and Technology, Organic Chemistry, Mechanical Engineering and Automotive Engineering, having authored 129 papers that have together received 8.1k indexed citations. Recurring topics across this work include Polymer composites and self-healing (90 papers), Advanced Sensor and Energy Harvesting Materials (33 papers), Advanced Materials and Mechanics (33 papers), Advanced Polymer Synthesis and Characterization (19 papers), Conducting polymers and applications (17 papers), Additive Manufacturing and 3D Printing Technologies (13 papers), Dielectric materials and actuators (12 papers) and Photopolymerization techniques and applications (12 papers). The work is most often cited by research in Polymers and Plastics (5.6k citations), Process Chemistry and Technology (515 citations), Mechanical Engineering (3.2k citations), Biomaterials (1.0k citations) and Automotive Engineering (900 citations). Kai Yu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include H. Jerry Qi, Martin L. Dunn, Wei Zhang, Philip Taynton, Yinghua Jin, Jinsong Leng, Qian Shi, Christopher M. Yakacki, Qi Ge and Tiejun Wang. Their work appears in journals such as Soft Matter, Journal of the Mechanics and Physics of Solids, Polymer, RSC Advances and Smart Materials and Structures.
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.