Qibo Yang
Impact in
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- Industrial Vision Systems and Defect Detection
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- Risk and Safety Analysis
Papers in
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- Advanced machining processes and optimization 3
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- Machine Fault Diagnosis Techniques 5
- Fault Detection and Control Systems 3
- Co-authors
- Jay Lee (16 shared papers)Xiaodong Jia (8 shared papers)Xiang Li (10 shared papers)Jianshe Feng (8 shared papers)Di Yuan (2 shared papers)Jin Tian (3 shared papers)Tingdi Zhao (2 shared papers)Haoshu Cai (6 shared papers)
- Journals
- Safety Science (2 papers)Applied Sciences (2 papers)Renewable Energy (2 papers)Measurement (2 papers)Journal of Intelligent Manufacturing (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Qibo Yang
22 papers receiving 625 citations
Peers
Comparison fields: 5 of 75
- Industrial and Manufacturing Engineering 159
- Statistics, Probability and Uncertainty 89
- Medical Laboratory Technology 16
- Radiological and Ultrasound Technology 50
- Control and Systems Engineering 166
Countries citing papers authored by Qibo Yang
This map shows the geographic impact of Qibo 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 Qibo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qibo Yang more than expected).
Fields of papers citing papers by Qibo Yang
This network shows the impact of papers produced by Qibo 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 Qibo Yang. The network helps show where Qibo Yang may publish in the future.
Co-authors
The 24 scholars most cited alongside Qibo 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 113 | |
| 2 | 2017 | 104 | |
| 3 | 2017 | 71 | |
| 4 | 2016 | 48 | |
| 5 | 2018 | 42 | |
| 6 | 2016 | 37 | |
| 7 | 2020 | 36 | |
| 8 | 2020 | 26 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 22 | |
| 11 | 2020 | 15 | |
| 12 | 2019 | 14 | |
| 13 | 2020 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2021 | 10 | |
| 19 | 2023 | 6 | |
| 20 | 2021 | 4 |
About Qibo Yang
Qibo Yang is a scholar working on Mechanical Engineering, Control and Systems Engineering, Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering and Mechanics of Materials, having authored 22 papers that have together received 638 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (5 papers), Risk and Safety Analysis (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Advanced Surface Polishing Techniques (3 papers), Fault Detection and Control Systems (3 papers), Advanced machining processes and optimization (3 papers), Wind and Air Flow Studies (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (159 citations), Statistics, Probability and Uncertainty (89 citations), Medical Laboratory Technology (16 citations), Radiological and Ultrasound Technology (50 citations) and Control and Systems Engineering (166 citations). Qibo Yang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jay Lee, Xiaodong Jia, Xiang Li, Jianshe Feng, Di Yuan, Jin Tian, Tingdi Zhao, Haoshu Cai, Ming Zhao and Wenzhe Li. Their work appears in journals such as Safety Science, Applied Sciences, Renewable Energy, Measurement and Journal of Intelligent Manufacturing.
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.