Junyu Qu
Impact in
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- 2D Materials and Applications
- MXene and MAX Phase Materials
- Graphene research and applications
- Quantum Dots Synthesis And Properties
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- Perovskite Materials and Applications
- Chalcogenide Semiconductor Thin Films
- Photonic and Optical Devices
Papers in
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- Perovskite Materials and Applications 11
- Chalcogenide Semiconductor Thin Films 6
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- 2D Materials and Applications 11
- MXene and MAX Phase Materials 5
- Quantum Dots Synthesis And Properties 4
- Graphene research and applications 3
- Co-authors
- Anlian Pan (13 shared papers)Biyuan Zheng (8 shared papers)Shula Chen (12 shared papers)Ying Chen (5 shared papers)Ziyu Luo (9 shared papers)Xuelu Hu (2 shared papers)Xin Yang (8 shared papers)Weihao Zheng (4 shared papers)
In The Last Decade
Junyu Qu
20 papers receiving 352 citations
Peers
Comparison fields: 5 of 26
- Materials Chemistry 268
- Electrical and Electronic Engineering 215
- Atomic and Molecular Physics, and Optics 50
- Biomedical Engineering 66
- Polymers and Plastics 21
Countries citing papers authored by Junyu Qu
This map shows the geographic impact of Junyu 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 Junyu Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyu Qu more than expected).
Fields of papers citing papers by Junyu Qu
This network shows the impact of papers produced by Junyu 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 Junyu Qu. The network helps show where Junyu Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyu 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 105 | |
| 2 | 2020 | 57 | |
| 3 | 2022 | 36 | |
| 4 | 2022 | 34 | |
| 5 | 2020 | 28 | |
| 6 | 2025 | 19 | |
| 7 | 2024 | 18 | |
| 8 | 2022 | 13 | |
| 9 | 2024 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2022 | 5 | |
| 12 | 2021 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2023 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 1 | |
| 20 | 2020 | 1 |
About Junyu Qu
Junyu Qu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Biomedical Engineering and Polymers and Plastics, having authored 21 papers that have together received 358 indexed citations. Recurring topics across this work include 2D Materials and Applications (11 papers), Perovskite Materials and Applications (11 papers), Chalcogenide Semiconductor Thin Films (6 papers), MXene and MAX Phase Materials (5 papers), Quantum Dots Synthesis And Properties (4 papers), Plasmonic and Surface Plasmon Research (4 papers), Conducting polymers and applications (3 papers) and Graphene research and applications (3 papers). The work is most often cited by research in Materials Chemistry (268 citations), Electrical and Electronic Engineering (215 citations), Atomic and Molecular Physics, and Optics (50 citations), Biomedical Engineering (66 citations) and Polymers and Plastics (21 citations). Junyu Qu has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Anlian Pan, Biyuan Zheng, Shula Chen, Ying Chen, Ziyu Luo, Xuelu Hu, Xin Yang, Weihao Zheng, Huawei Liu and Ying Jiang. Their work appears in journals such as Advanced Materials, Applied Physics Letters, Nano Letters, ACS Nano and Nanomaterials.
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.