Aijun Yin
Impact in
- Condensed Matter Physics top 5%
- Physics of Superconductivity and Magnetism
- Materials Chemistry top 5%
- Anodic Oxide Films and Nanostructures
- Carbon Nanotubes in Composites
Papers in
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- Machine Fault Diagnosis Techniques 14
- Fault Detection and Control Systems 11
-
- Ultrasonics and Acoustic Wave Propagation 6
Aijun Yin
92 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 116
- Condensed Matter Physics 246
- Materials Chemistry 875
- Electronic, Optical and Magnetic Materials 322
- Atomic and Molecular Physics, and Optics 460
- Biomedical Engineering 587
Countries citing papers authored by Aijun Yin
This map shows the geographic impact of Aijun Yin'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 Yin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aijun Yin more than expected).
Fields of papers citing papers by Aijun Yin
This network shows the impact of papers produced by Aijun Yin. 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 Yin. The network helps show where Aijun Yin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Aijun Yin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 9 | |
| 3 | 2025 | 11 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 13 | |
| 6 | 2024 | 14 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 10 | |
| 13 | Self-adaptive segmentation method of cotton in natural scene by combining improved Otsu with ELM algorithm. | 2018 | 3 |
| 14 | 2017 | 4 | |
| 15 | 2016 | 15 | |
| 16 | 2016 | 1 | |
| 17 | Structurally Controlled Subsurface Fluid Flow as a Mechanism for the Formation of Recurring Slope Lineae | 2014 | 9 |
| 18 | Accurate measurement for objects space attitude based on planar target | 2011 | 0 |
| 19 | 2009 | 58 | |
| 20 | 2007 | 27 |
About Aijun Yin
Aijun Yin is a scholar working on Control and Systems Engineering, Mechanics of Materials, Industrial and Manufacturing Engineering, Mechanical Engineering and Materials Chemistry, having authored 101 papers that have together received 2.2k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (14 papers), Carbon Nanotubes in Composites (12 papers), Fault Detection and Control Systems (11 papers), Anodic Oxide Films and Nanostructures (9 papers), Non-Destructive Testing Techniques (9 papers), Advancements in Battery Materials (7 papers), Structural Health Monitoring Techniques (7 papers) and Ultrasonics and Acoustic Wave Propagation (6 papers). The work is most often cited by research in Condensed Matter Physics (246 citations), Materials Chemistry (875 citations), Electronic, Optical and Magnetic Materials (322 citations), Atomic and Molecular Physics, and Optics (460 citations) and Biomedical Engineering (587 citations). Aijun Yin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include J.M. Xu, Jimmy Xu, Adam Bennett, Wen‐Bin Jian, Jing Xu, Gui Yun Tian, Jianyu Liang, M. D. Stewart, J. M. Valles and Kongjing Li. Their work appears in journals such as IEEE Sensors Journal, Sensors, Applied Physics Letters, Measurement and Measurement Science and 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.