Jun Cai

1.1k citations
41 papers · 921 · 1 hit paper · h-index 12

Impact in

Papers in

Jun Cai

36 papers receiving 902 citations

Jun Cai's Hit Papers

Skin‐Inspired Multifunctional Autonomic‐Intrinsic Conductive Self‐Healing Hydrogels with Pressure Sensitivity, Stretchability, and 3D Printability 2017 · 612 citations
6120+3+6Years since publication200400600

Peers

Jun Cai
Comparison fields: 5 of 82
  • Molecular Medicine 135
  • Polymers and Plastics 334
  • Biomedical Engineering 606
  • Biomaterials 146
  • Mechanical Engineering 225
Replace Lin Tang with:
Lin Tang China
Yunsik Ohm United States
Kevin Tian United States
Keju Ji China
Xing Peng Hao China
Hua Wei China
Chiao‐Yueh Lo United States
Chong‐Chan Kim South Korea
Yahao Dai United States
Richard Moser Austria
Jun Cai relative to Lin Tang China Lin Tang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jun Cai

Since Specialization
Citations

This map shows the geographic impact of Jun Cai'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 Jun Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cai more than expected).

Fields of papers citing papers by Jun Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Cai. 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 Jun Cai. The network helps show where Jun Cai may publish in the future.

Co-authors

The 25 scholars most cited alongside Jun Cai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Cai Line = papers co-authored together Jun Cai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Skin‐Inspired Multifunctional Autonomic‐Intrinsic Conductive Self‐Healing Hydrogels with Pressure Sensitivity, Stretchability, and 3D Printability
Hit paper breakdown →
2017612
2 202250
3 202136
4 200733
5 201215
6 199415
7 202315
8 202412
9 202211
10 202211
11 202211
12 201411
13 202310
14 202210
15 20229
16 20249
17 20238
18 20257
19 20176
20 20154

About Jun Cai

Jun Cai is a scholar working on Mechanical Engineering, Materials Chemistry, Electrical and Electronic Engineering, Biomedical Engineering and Atomic and Molecular Physics, and Optics, having authored 41 papers that have together received 921 indexed citations. Recurring topics across this work include Advanced Materials and Mechanics (10 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Gyrotron and Vacuum Electronics Research (7 papers), Graphene research and applications (6 papers), Thermal properties of materials (4 papers), Particle accelerators and beam dynamics (4 papers), Carbon Nanotubes in Composites (4 papers) and Microwave Engineering and Waveguides (4 papers). The work is most often cited by research in Molecular Medicine (135 citations), Polymers and Plastics (334 citations), Biomedical Engineering (606 citations), Biomaterials (146 citations) and Mechanical Engineering (225 citations). Jun Cai has collaborated with scholars based in Canada, China and Hong Kong. Frequent co-authors include Malcolm Xing, Qiang Chang, Ali Khosrozadeh, Gaoxing Luo, Yuqing Liu, Junzi Jiang, Mohammad Ali Darabi, Quan Wang, Abdolhamid Akbarzadeh and Jing Ma. Their work appears in journals such as Journal of Micromechanics and Microengineering, Carbon, Advanced Materials, Acta Mechanica and International Journal of Heat and Mass Transfer.

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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