Yinhui Ao
- Industrial and Manufacturing Engineering top 2%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Co-authors
- Chuanxia JianJian GaoCuifen WangXiaobo ZhangGang ChenJinhao HuangKai ZhangYu Zhang
- Topics
- Machine Fault Diagnosis Techniques (6 papers)Imbalanced Data Classification Techniques (6 papers)Industrial Vision Systems and Defect Detection (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- NeurocomputingApplied Soft ComputingThe International Journal of Advanced Manufacturing Technology
- Partner nations
- ChinaUnited States
In The Last Decade
Yinhui Ao
15 papers receiving 535 citations
Peers
Comparison fields: 5 of 77
- Industrial and Manufacturing Engineering 226
- Artificial Intelligence 152
- Control and Systems Engineering 147
- Computer Vision and Pattern Recognition 143
- Mechanical Engineering 97
Countries citing papers authored by Yinhui Ao
This map shows the geographic impact of Yinhui Ao'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 Yinhui Ao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinhui Ao more than expected).
Fields of papers citing papers by Yinhui Ao
This network shows the impact of papers produced by Yinhui Ao. 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 Yinhui Ao. The network helps show where Yinhui Ao may publish in the future.
Co-authorship network of co-authors of Yinhui Ao
This figure shows the co-authorship network connecting the top 25 collaborators of Yinhui Ao. A scholar is included among the top collaborators of Yinhui Ao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yinhui Ao. Yinhui Ao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 17 | |
| 3 | 17 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 26 | |
| 8 | 40 | |
| 9 | 6 | |
| 10 | 54 | |
| 11 | 0 | |
| 12 | 31 | |
| 13 | 19 | |
| 14 | 121 | |
| 15 | 181 | |
| 16 | 3 | |
| 17 | 0 | |
| 18 | 21 |
About Yinhui Ao
Yinhui Ao is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering and Ecological Modeling, having authored 18 papers that have together received 551 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (6 papers), Imbalanced Data Classification Techniques (6 papers) and Industrial Vision Systems and Defect Detection (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (226 citations), Computer Vision and Pattern Recognition (143 citations) and Control and Systems Engineering (147 citations). Yinhui Ao has collaborated with scholars based in China and United States. Frequent co-authors include Chuanxia Jian, Jian Gao, Cuifen Wang, Xiaobo Zhang, Gang Chen, Jinhao Huang, Kai Zhang, Yu Zhang, Yunbo He and Xin Chen. Their work appears in journals such as Neurocomputing, Applied Soft Computing and The International Journal of Advanced Manufacturing 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.