Yong-kuo Liu
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- Risk and Safety Analysis 22
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- Fault Detection and Control Systems 43
- Advanced Data Processing Techniques 11
- Aerospace Engineering top 2%
- Nuclear Engineering Thermal-Hydraulics 11
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- Robotic Path Planning Algorithms 11
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- Graphite, nuclear technology, radiation studies 14
- Radiation Shielding Materials Analysis 11
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- Oil and Gas Production Techniques 13
- Cited by
- Statistics, Probability and UncertaintyControl and Systems EngineeringAerospace Engineering
- Partner nations
- ChinaUnited KingdomNigeria
In The Last Decade
Yong-kuo Liu
91 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 94
- Statistics, Probability and Uncertainty 287
- Control and Systems Engineering 788
- Aerospace Engineering 446
- Computer Vision and Pattern Recognition 356
- Safety, Risk, Reliability and Quality 118
Countries citing papers authored by Yong-kuo Liu
This map shows the geographic impact of Yong-kuo Liu'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 Yong-kuo Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong-kuo Liu more than expected).
Fields of papers citing papers by Yong-kuo Liu
This network shows the impact of papers produced by Yong-kuo Liu. 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 Yong-kuo Liu. The network helps show where Yong-kuo Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yong-kuo Liu, 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 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 6 | |
| 12 | 2020 | 60 | |
| 13 | 2019 | 107 | |
| 14 | 2018 | 3 | |
| 15 | Fault Diagnosis Method for Nuclear Power Plant Based on Ensemble Learning | 2012 | 1 |
| 16 | Study on Fault Diagnosis Technology for Nuclear Power Plants Based on Time Series Data Mining | 2011 | 1 |
| 17 | Fault Diagnosis Method for Nuclear Power Plant Based on Decision Tree and Neighborhood Rough Sets | 2011 | 3 |
| 18 | Trend Prediction Methods Study of Nuclear Power Plant Based on GM(1,1) and Grey Markov GM(1,1) Models | 2011 | 1 |
| 19 | Study on Intelligence Fault Diagnosis Method for Nuclear Power Plant Equipment Based on Rough Set and Fuzzy Neural Network | 2007 | 2 |
| 20 | Application of multi-sensors data fusion in fault diagnosis | 2004 | 1 |
About Yong-kuo Liu
Yong-kuo Liu is a scholar working on Statistics, Probability and Uncertainty, Control and Systems Engineering and Safety, Risk, Reliability and Quality, having authored 97 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (43 papers), Risk and Safety Analysis (22 papers), Graphite, nuclear technology, radiation studies (14 papers), Oil and Gas Production Techniques (13 papers), Radiation Shielding Materials Analysis (11 papers), Advanced Data Processing Techniques (11 papers), Nuclear Engineering Thermal-Hydraulics (11 papers) and Robotic Path Planning Algorithms (11 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (287 citations), Control and Systems Engineering (788 citations) and Aerospace Engineering (446 citations). Yong-kuo Liu has collaborated with scholars based in China, United Kingdom and Nigeria. Frequent co-authors include Abiodun Ayodeji, Minjun Peng, Hong Xia, Nan Chao, Chun-li Xie, Hang Wang, Meng-kun Li, Liqun Yang, Fei Xie and B.R. Upadhyaya.
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.