Kun Ye
Impact in
- Materials Chemistry top 5%
- Advanced Nanomaterials in Catalysis
- 2D Materials and Applications
- Carbon and Quantum Dots Applications
- Nanocluster Synthesis and Applications
- MXene and MAX Phase Materials
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- Electrochemical sensors and biosensors
- Perovskite Materials and Applications
Papers in
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- Advanced Nanomaterials in Catalysis 14
- 2D Materials and Applications 12
- Carbon and Quantum Dots Applications 3
- Nanocluster Synthesis and Applications 3
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- Electrochemical sensors and biosensors 9
- Perovskite Materials and Applications 8
- Gas Sensing Nanomaterials and Sensors 4
- Co-authors
- Xiangheng Niu (13 shared papers)Linjie Wang (8 shared papers)Xin Li (6 shared papers)Jianming Pan (7 shared papers)Yuehe Lin (2 shared papers)Dan (Annie) Du (2 shared papers)Hongwei Song (5 shared papers)Xuechao Xu (3 shared papers)
In The Last Decade
Kun Ye
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 73
- Materials Chemistry 811
- Electrical and Electronic Engineering 494
- Molecular Biology 389
- Bioengineering 26
- Inorganic Chemistry 63
Countries citing papers authored by Kun Ye
This map shows the geographic impact of Kun Ye'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 Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Ye more than expected).
Fields of papers citing papers by Kun Ye
This network shows the impact of papers produced by Kun Ye. 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 Ye. The network helps show where Kun Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Ye, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 99 | |
| 2 | 2019 | 86 | |
| 3 | 2020 | 83 | |
| 4 | 2019 | 81 | |
| 5 | 2020 | 79 | |
| 6 | 2020 | 65 | |
| 7 | 2021 | 64 | |
| 8 | 2020 | 60 | |
| 9 | 2019 | 59 | |
| 10 | 2019 | 53 | |
| 11 | 2020 | 31 | |
| 12 | 2020 | 27 | |
| 13 | 2019 | 24 | |
| 14 | 2019 | 23 | |
| 15 | 2023 | 21 | |
| 16 | 2020 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2020 | 18 | |
| 19 | 2019 | 18 | |
| 20 | 2025 | 16 |
About Kun Ye
Kun Ye is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Molecular Biology, Electronic, Optical and Magnetic Materials and Biomedical Engineering, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Nanomaterials in Catalysis (14 papers), Advanced biosensing and bioanalysis techniques (14 papers), 2D Materials and Applications (12 papers), Electrochemical sensors and biosensors (9 papers), Perovskite Materials and Applications (8 papers), Gas Sensing Nanomaterials and Sensors (4 papers), Carbon and Quantum Dots Applications (3 papers) and Nanocluster Synthesis and Applications (3 papers). The work is most often cited by research in Materials Chemistry (811 citations), Electrical and Electronic Engineering (494 citations), Molecular Biology (389 citations), Bioengineering (26 citations) and Inorganic Chemistry (63 citations). Kun Ye has collaborated with scholars based in China, Portugal and Poland. Frequent co-authors include Xiangheng Niu, Linjie Wang, Xin Li, Jianming Pan, Yuehe Lin, Dan (Annie) Du, Hongwei Song, Xuechao Xu, Zhongyuan Liu and Anmin Nie. Their work appears in journals such as Sensors and Actuators B Chemical, Small, Analytica Chimica Acta, Advanced Optical Materials and Nature Communications.
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.