Conner K. Dunn
Impact in
- Automotive Engineering top 0.5%
- Additive Manufacturing and 3D Printing Technologies
- Polymers and Plastics top 1%
- Polymer composites and self-healing
Papers in
-
- Polymer composites and self-healing 6
-
- Additive Manufacturing and 3D Printing Technologies 5
- Co-authors
- H. Jerry QiMartin L. DunnQi GeXiao KuangNicholas X. FangAmir Hosein SakhaeiHowon LeeQuanyi Mu
- Journals
- Smart Materials and Structures (3 papers)Scientific Reports (2 papers)Additive manufacturing (2 papers)Materials Horizons (1 paper)Soft Matter (1 paper)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Conner K. Dunn
12 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Automotive Engineering 1.4k
- Polymers and Plastics 1.2k
- Biomedical Engineering 2.1k
- Mechanical Engineering 1.6k
- Biomaterials 403
Countries citing papers authored by Conner K. Dunn
This map shows the geographic impact of Conner K. Dunn'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 Conner K. Dunn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conner K. Dunn more than expected).
Fields of papers citing papers by Conner K. Dunn
This network shows the impact of papers produced by Conner K. Dunn. 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 Conner K. Dunn. The network helps show where Conner K. Dunn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Conner K. Dunn, 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 | 2019 | 149 | |
| 2 | 2018 | 19 | |
| 3 | 2018 | 82 | |
| 4 | 3D Printing of Highly Stretchable, Shape-Memory, and Self-Healing Elastomer toward Novel 4D Printing Hit paper breakdown → | 2018 | 440 |
| 5 | 2017 | 221 | |
| 6 | 2017 | 350 | |
| 7 | 2017 | 69 | |
| 8 | 2017 | 122 | |
| 9 | 2017 | 385 | |
| 10 | 2017 | 249 | |
| 11 | Multimaterial 4D Printing with Tailorable Shape Memory Polymers Hit paper breakdown → | 2016 | 876 |
| 12 | Active origami by 4D printing Hit paper breakdown → | 2014 | 572 |
About Conner K. Dunn
Conner K. Dunn is a scholar working on Polymers and Plastics, Automotive Engineering, Biomaterials, Biomedical Engineering and Mechanical Engineering, having authored 12 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (7 papers), Polymer composites and self-healing (6 papers), Additive Manufacturing and 3D Printing Technologies (5 papers), Advanced Materials and Mechanics (5 papers), Nanomaterials and Printing Technologies (2 papers), Aerogels and thermal insulation (2 papers), Advanced Cellulose Research Studies (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Automotive Engineering (1.4k citations), Polymers and Plastics (1.2k citations), Biomedical Engineering (2.1k citations), Mechanical Engineering (1.6k citations) and Biomaterials (403 citations). Conner K. Dunn has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include H. Jerry Qi, Martin L. Dunn, Qi Ge, Xiao Kuang, Nicholas X. Fang, Amir Hosein Sakhaei, Howon Lee, Quanyi Mu, Kai Yu and Jiangtao Wu. Their work appears in journals such as Smart Materials and Structures, Scientific Reports, Additive manufacturing, Materials Horizons and Soft Matter.
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.