Aijun Yang
Impact in
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- Nanoparticles: synthesis and applications
- Advanced Nanomaterials in Catalysis
- Carbon and Quantum Dots Applications
- Nanocluster Synthesis and Applications
Papers in
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- Perovskite Materials and Applications 9
- Chalcogenide Semiconductor Thin Films 3
- Co-authors
- Fengli Qu (3 shared papers)Rongmei Kong (3 shared papers)Qin Wang (2 shared papers)Xue Gong (1 shared paper)Feng Shao (1 shared paper)Juan Wang (1 shared paper)Xiaoping Zhang (1 shared paper)Lianjie Shu (2 shared papers)
- Journals
- Journal of Medical Virology (2 papers)Microchimica Acta (2 papers)Physics Letters A (1 paper)Journal of Photochemistry and Photobiology B Biology (1 paper)Economic Modelling (1 paper)
- Partner nations
- ChinaBulgariaUnited States
In The Last Decade
Aijun Yang
28 papers receiving 400 citations
Peers
Comparison fields: 5 of 92
- Finance 32
- Materials Chemistry 149
- Statistics, Probability and Uncertainty 17
- Biomedical Engineering 100
- Rehabilitation 11
Countries citing papers authored by Aijun Yang
This map shows the geographic impact of Aijun Yang'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 Aijun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aijun Yang more than expected).
Fields of papers citing papers by Aijun Yang
This network shows the impact of papers produced by Aijun Yang. 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 Aijun Yang. The network helps show where Aijun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Aijun Yang, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 69 | |
| 2 | 2017 | 51 | |
| 3 | 2017 | 42 | |
| 4 | 2017 | 37 | |
| 5 | 2024 | 27 | |
| 6 | 2023 | 27 | |
| 7 | 2018 | 21 | |
| 8 | 2020 | 17 | |
| 9 | 2019 | 16 | |
| 10 | 2019 | 13 | |
| 11 | 2022 | 10 | |
| 12 | 2016 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2017 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2024 | 4 |
About Aijun Yang
Aijun Yang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Finance, Polymers and Plastics and Molecular Biology, having authored 33 papers that have together received 409 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (9 papers), Stochastic processes and financial applications (5 papers), Conducting polymers and applications (5 papers), Financial Markets and Investment Strategies (4 papers), COVID-19 Impact on Reproduction (3 papers), Financial Risk and Volatility Modeling (3 papers), Chalcogenide Semiconductor Thin Films (3 papers) and Capital Investment and Risk Analysis (2 papers). The work is most often cited by research in Finance (32 citations), Materials Chemistry (149 citations), Statistics, Probability and Uncertainty (17 citations), Biomedical Engineering (100 citations) and Rehabilitation (11 citations). Aijun Yang has collaborated with scholars based in China, Bulgaria and United States. Frequent co-authors include Fengli Qu, Rongmei Kong, Qin Wang, Xue Gong, Feng Shao, Juan Wang, Xiaoping Zhang, Qin Wang, Lianjie Shu and Minghui Yang. Their work appears in journals such as Journal of Medical Virology, Microchimica Acta, Physics Letters A, Journal of Photochemistry and Photobiology B Biology and Economic Modelling.
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.