Qin Yao
- Mechanical Engineering
- Control and Systems Engineering top 10%
- Statistics, Probability and Uncertainty top 5%
- Civil and Structural Engineering
- Materials Chemistry
- Co-authors
- Mengchuang ZhangYongshou LiuShangjun MaQing GuoBingqian ChenHaijian ShaoGuoliang CaiQuan Jiang
- Topics
- Probabilistic and Robust Engineering Design (13 papers)Advanced Multi-Objective Optimization Algorithms (10 papers)Optimal Experimental Design Methods (5 papers)
- Cited by
- Statistics, Probability and UncertaintyControl and Systems EngineeringMechanical Engineering
- Journals
- Renewable EnergyTechnological Forecasting and Social ChangeIEEE Transactions on Power Delivery
- Partner nations
- ChinaUnited StatesCroatia
In The Last Decade
Qin Yao
31 papers receiving 350 citations
Peers
Comparison fields: 5 of 61
- Mechanical Engineering 134
- Control and Systems Engineering 113
- Statistics, Probability and Uncertainty 77
- Civil and Structural Engineering 58
- Materials Chemistry 51
Countries citing papers authored by Qin Yao
This map shows the geographic impact of Qin Yao'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 Qin Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Yao more than expected).
Fields of papers citing papers by Qin Yao
This network shows the impact of papers produced by Qin Yao. 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 Qin Yao. The network helps show where Qin Yao may publish in the future.
Co-authorship network of co-authors of Qin Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Qin Yao. A scholar is included among the top collaborators of Qin Yao 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 Qin Yao. Qin Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 37 | |
| 13 | 18 | |
| 14 | 2 | |
| 15 | 23 | |
| 16 | 10 | |
| 17 | 7 | |
| 18 | 20 | |
| 19 | 2 | |
| 20 | 5 |
About Qin Yao
Qin Yao is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Energy Engineering and Power Technology, having authored 35 papers that have together received 358 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (13 papers), Advanced Multi-Objective Optimization Algorithms (10 papers) and Optimal Experimental Design Methods (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (77 citations), Control and Systems Engineering (113 citations) and Mechanical Engineering (134 citations). Qin Yao has collaborated with scholars based in China, United States and Croatia. Frequent co-authors include Mengchuang Zhang, Yongshou Liu, Shangjun Ma, Qing Guo, Bingqian Chen, Haijian Shao, Guoliang Cai, Quan Jiang, Xu Hou and Baohui Li. Their work appears in journals such as Renewable Energy, Technological Forecasting and Social Change and IEEE Transactions on Power Delivery.
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.