Qin Yao

About

Qin Yao is a scholar working on Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Mechanical Engineering. According to data from OpenAlex, Qin Yao has authored 27 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Statistics, Probability and Uncertainty, 10 papers in Computational Theory and Mathematics and 7 papers in Mechanical Engineering. Recurrent topics in Qin Yao’s work include Probabilistic and Robust Engineering Design (12 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Optimal Experimental Design Methods (5 papers). Qin Yao is often cited by papers focused on Probabilistic and Robust Engineering Design (12 papers), Advanced Multi-Objective Optimization Algorithms (9 papers) and Optimal Experimental Design Methods (5 papers). Qin Yao collaborates with scholars based in China, Italy and Malaysia. Qin Yao's co-authors include Mengchuang Zhang, Yongshou Liu, Shangjun Ma, Qing Guo, Bingqian Chen, Guoliang Cai, Haijian Shao, Xu Hou, Quan Jiang and Baohui Li and has published in prestigious journals such as Renewable Energy, Reliability Engineering & System Safety and Sensors and Actuators A Physical.

In The Last Decade

Co-authorship network of co-authors of Qin Yao i

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Fields of papers citing papers by Qin Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Qin Yao

Since Specialization

Citations

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).

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.

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