Jun Ai
Impact in
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- Nanocluster Synthesis and Applications
- Advanced Nanomaterials in Catalysis
- Catalytic Processes in Materials Science
Papers in
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- Advanced biosensing and bioanalysis techniques 16
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- Nanocluster Synthesis and Applications 8
- Advanced Nanomaterials in Catalysis 7
- Carbon and Quantum Dots Applications 4
- Co-authors
- Lu Ga (17 shared papers)Dan Li (4 shared papers)Erkang Wang (2 shared papers)Yuanhong Xu (3 shared papers)Yong Wang (4 shared papers)Bingling Li (2 shared papers)Tao Li (2 shared papers)Baohua Lou (1 shared paper)
- Journals
- RSC Advances (3 papers)Talanta (3 papers)Microchemical Journal (2 papers)Analytical Methods (2 papers)Biosensors and Bioelectronics X (1 paper)
- Partner nations
- ChinaUnited StatesMongolia
In The Last Decade
Jun Ai
34 papers receiving 495 citations
Peers
Comparison fields: 5 of 72
- Catalysis 39
- Materials Chemistry 220
- Electronic, Optical and Magnetic Materials 87
- Biomedical Engineering 173
- Biomaterials 45
Countries citing papers authored by Jun Ai
This map shows the geographic impact of Jun Ai'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 Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ai more than expected).
Fields of papers citing papers by Jun Ai
This network shows the impact of papers produced by Jun Ai. 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 Ai. The network helps show where Jun Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ai, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 70 | |
| 2 | 2013 | 67 | |
| 3 | 2010 | 37 | |
| 4 | 2020 | 33 | |
| 5 | 2012 | 32 | |
| 6 | 2020 | 23 | |
| 7 | 2018 | 22 | |
| 8 | 2021 | 22 | |
| 9 | 2012 | 19 | |
| 10 | 2020 | 19 | |
| 11 | 2008 | 17 | |
| 12 | 2016 | 16 | |
| 13 | 2023 | 15 | |
| 14 | 2006 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2018 | 10 | |
| 18 | 2018 | 10 | |
| 19 | 2017 | 9 | |
| 20 | 1999 | 8 |
About Jun Ai
Jun Ai is a scholar working on Molecular Biology, Materials Chemistry, Biomedical Engineering, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials, having authored 35 papers that have together received 504 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (16 papers), Nanocluster Synthesis and Applications (8 papers), Advanced Nanomaterials in Catalysis (7 papers), Gold and Silver Nanoparticles Synthesis and Applications (5 papers), Biosensors and Analytical Detection (5 papers), Molecular Sensors and Ion Detection (4 papers), Optical Coherence Tomography Applications (4 papers) and Carbon and Quantum Dots Applications (4 papers). The work is most often cited by research in Catalysis (39 citations), Materials Chemistry (220 citations), Electronic, Optical and Magnetic Materials (87 citations), Biomedical Engineering (173 citations) and Biomaterials (45 citations). Jun Ai has collaborated with scholars based in China, United States and Mongolia. Frequent co-authors include Lu Ga, Dan Li, Erkang Wang, Yuanhong Xu, Yong Wang, Bingling Li, Tao Li, Baohua Lou, Weiwei Guo and Lihong V. Wang. Their work appears in journals such as RSC Advances, Talanta, Microchemical Journal, Analytical Methods and Biosensors and Bioelectronics X.
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.