Kai Qu

3.9k citations
65 papers · 3.3k · 2 hit papers · h-index 26

Impact in

Papers in

Kai Qu

62 papers receiving 3.3k citations

Kai Qu's Hit Papers

3D printing of conducting polymers 2020 · 839 citations
8390+2+4Years since publication250500750

Peers

Kai Qu
Comparison fields: 5 of 96
  • Polymers and Plastics 1.1k
  • Biomedical Engineering 1.6k
  • Automotive Engineering 271
  • Bioengineering 125
  • Electrical and Electronic Engineering 1.3k
Replace Chengqiang Tang with:
Chengqiang Tang China
John W. F. To United States
Rouhollah Jalili Australia
Jiansheng Wu China
Lie Wang China
Hongbian Li China
Weixing Song China
Yanhua Cheng China
Miao Tang China
Yoonseob Kim Hong Kong
Kai Qu relative to Chengqiang Tang China Chengqiang Tang's profile →
Citations per field
00.5×2.8×
Chengqiang Tang · 1×
Citations per year

Countries citing papers authored by Kai Qu

Since Specialization
Citations

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

Fields of papers citing papers by Kai Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kai Qu, 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 Kai Qu Line = papers co-authored together Kai Qu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Pure PEDOT:PSS hydrogels
Hit paper breakdown →
2019878
2
3D printing of conducting polymers
Hit paper breakdown →
2020839
3 2022127
4 2021117
5 202298
6 202180
7 202166
8 202260
9 202358
10 202156
11 201855
12 202155
13 202151
14 202247
15 202346
16 202339
17 201738
18 202030
19 202228
20 202128

About Kai Qu

Kai Qu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Biomedical Engineering, Atomic and Molecular Physics, and Optics and Polymers and Plastics, having authored 65 papers that have together received 3.3k indexed citations. Recurring topics across this work include Molecular Junctions and Nanostructures (15 papers), Organic Electronics and Photovoltaics (12 papers), Conducting polymers and applications (12 papers), Membrane Separation and Gas Transport (11 papers), Advanced battery technologies research (11 papers), Covalent Organic Framework Applications (10 papers), Quantum and electron transport phenomena (10 papers) and Membrane Separation Technologies (8 papers). The work is most often cited by research in Polymers and Plastics (1.1k citations), Biomedical Engineering (1.6k citations), Automotive Engineering (271 citations), Bioengineering (125 citations) and Electrical and Electronic Engineering (1.3k citations). Kai Qu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Baoyang Lu, Jingkun Xu, Hyunwoo Yuk, Xuanhe Zhao, Nannan Jian, Shaoting Lin, Lin Shen, Jianhong Luo, Zhi Xu and Kang Huang. Their work appears in journals such as Journal of Membrane Science, Angewandte Chemie International Edition, Electrochimica Acta, Nature Communications and Nano Letters.

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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