Jun Qu
Impact in
- Civil and Structural Engineering top 10%
- Concrete and Cement Materials Research
- Innovative concrete reinforcement materials
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- Gold and Silver Nanoparticles Synthesis and Applications
Papers in
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- Advanced Fiber Optic Sensors 5
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- Nanowire Synthesis and Applications 2
- Co-authors
- Chunxiang Qian (3 shared papers)Kai Zhu (4 shared papers)Guanglei Cui (4 shared papers)Zewen Zuo (4 shared papers)Haoliang Huang (1 shared paper)Fei Zhao (1 shared paper)Yi Shi (3 shared papers)Xianfeng Zheng (5 shared papers)
- Journals
- Applied Surface Science (2 papers)Optical Fiber Technology (2 papers)Energy Reports (2 papers)Structural Concrete (2 papers)Fusion Science & Technology (1 paper)
- Partner nations
- ChinaNetherlands
In The Last Decade
Jun Qu
22 papers receiving 314 citations
Peers
Comparison fields: 5 of 70
- Civil and Structural Engineering 101
- Electronic, Optical and Magnetic Materials 82
- Nuclear Energy and Engineering 2
- Building and Construction 37
- Biophysics 14
Countries citing papers authored by Jun Qu
This map shows the geographic impact of Jun 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 Jun Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Qu more than expected).
Fields of papers citing papers by Jun Qu
This network shows the impact of papers produced by Jun 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 Jun Qu. The network helps show where Jun Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Qu, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 93 | |
| 2 | 2016 | 56 | |
| 3 | 2014 | 52 | |
| 4 | 2023 | 15 | |
| 5 | 2014 | 15 | |
| 6 | 2022 | 13 | |
| 7 | 2007 | 12 | |
| 8 | 2021 | 12 | |
| 9 | 2018 | 9 | |
| 10 | 2007 | 9 | |
| 11 | 2023 | 8 | |
| 12 | 2018 | 7 | |
| 13 | 2021 | 6 | |
| 14 | 2012 | 5 | |
| 15 | A Time Series Predicting Method Based on Clustering and Neuro-network | 2006 | 4 |
| 16 | 2018 | 3 | |
| 17 | 2021 | 3 | |
| 18 | 2015 | 2 | |
| 19 | 2021 | 2 | |
| 20 | 2019 | 1 |
About Jun Qu
Jun Qu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Civil and Structural Engineering, Materials Chemistry and Artificial Intelligence, having authored 23 papers that have together received 329 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (5 papers), Concrete and Cement Materials Research (4 papers), Innovative concrete reinforcement materials (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Nanowire Synthesis and Applications (2 papers), Orbital Angular Momentum in Optics (2 papers), Silicon Nanostructures and Photoluminescence (2 papers) and Gold and Silver Nanoparticles Synthesis and Applications (2 papers). The work is most often cited by research in Civil and Structural Engineering (101 citations), Electronic, Optical and Magnetic Materials (82 citations), Nuclear Energy and Engineering (2 citations), Building and Construction (37 citations) and Biophysics (14 citations). Jun Qu has collaborated with scholars based in China and Netherlands. Frequent co-authors include Chunxiang Qian, Kai Zhu, Guanglei Cui, Zewen Zuo, Haoliang Huang, Fei Zhao, Yi Shi, Xianfeng Zheng, Ying Cheng and Dongsheng Xu. Their work appears in journals such as Applied Surface Science, Optical Fiber Technology, Energy Reports, Structural Concrete and Fusion Science & Technology.
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.