Kun Qi

5.3k citations
62 papers · 4.7k · 1 hit paper · h-index 32

Impact in

Papers in

Kun Qi

54 papers receiving 4.6k citations

Kun Qi's Hit Papers

Ultrasensitive detection of miRNA with an antimonene-based surface plasmon resonance sensor 2018 · 683 citations
6830+2+5Years since publication200400600

Peers

Kun Qi
Comparison fields: 5 of 84
  • Renewable Energy, Sustainability and the Environment 2.5k
  • Catalysis 249
  • Materials Chemistry 963
  • Biomedical Engineering 541
  • Electronic, Optical and Magnetic Materials 243
Replace Bo Jiang with:
Bo Jiang Japan
Xiaohui Deng China
Caijin Huang China
Wen Xiao Singapore
Tao He China
Jing Xia China
Hung‐Lung Chou Taiwan
Lei Jin China
Jianfeng Huang China
Fan Liao China
Kun Qi relative to Bo Jiang Japan Bo Jiang's profile →
Citations per field
00.5×1.5×2×2.3×
Bo Jiang · 1×
Citations per year

Countries citing papers authored by Kun Qi

Since Specialization
Citations

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

Fields of papers citing papers by Kun Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ultrasensitive detection of miRNA with an antimonene-based surface plasmon resonance sensor
Hit paper breakdown →
2018683
2 2019512
3 2020288
4 2023204
5 2023167
6 2021164
7 2017158
8 2020158
9 2019152
10 2016135
11 2021135
12 2016132
13 2017128
14 2024119
15 2019112
16 2018105
17 201798
18 201997
19 201996
20 202394

About Kun Qi

Kun Qi is a scholar working on Renewable Energy, Sustainability and the Environment, Catalysis, Materials Chemistry, Water Science and Technology and Biomedical Engineering, having authored 62 papers that have together received 4.7k indexed citations. Recurring topics across this work include Electrocatalysts for Energy Conversion (24 papers), CO2 Reduction Techniques and Catalysts (13 papers), 2D Materials and Applications (5 papers), Advanced Photocatalysis Techniques (4 papers), Ammonia Synthesis and Nitrogen Reduction (4 papers), Membrane Separation Technologies (3 papers), Plasmonic and Surface Plasmon Research (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (2.5k citations), Catalysis (249 citations), Materials Chemistry (963 citations), Biomedical Engineering (541 citations) and Electronic, Optical and Magnetic Materials (243 citations). Kun Qi has collaborated with scholars based in China, France and Hong Kong. Frequent co-authors include Xiaoqiang Cui, Damien Voiry, Manish Chhowalla, Weitao Zheng, Shansheng Yu, Tianyu Xue, Jinchang Fan, Qiaoliang Bao, Yupeng Zhang and Huali Wu. Their work appears in journals such as Advanced Functional Materials, Nature Communications, Journal of Materials Chemistry A, ACS Nano and Nanoscale.

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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