Yu Yao

838 total citations
73 papers, 584 citations indexed

About

Yu Yao is a scholar working on Control and Systems Engineering, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Yu Yao has authored 73 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Control and Systems Engineering, 18 papers in Mechanical Engineering and 13 papers in Biomedical Engineering. Recurrent topics in Yu Yao's work include Robotic Mechanisms and Dynamics (12 papers), Robot Manipulation and Learning (6 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Yu Yao is often cited by papers focused on Robotic Mechanisms and Dynamics (12 papers), Robot Manipulation and Learning (6 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Yu Yao collaborates with scholars based in China, United States and Japan. Yu Yao's co-authors include Jian Feng, Yue Liu, Senxiang Lu, Zhen Huang, Zhenyu Huang, Xiaoben Jiang, Yan Jin, Huaguang Zhang, Xiaoming Hu and Kamin Whitehouse and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Yu Yao

64 papers receiving 560 citations

Peers

Yu Yao
Yu Yao
Citations per year, relative to Yu Yao Yu Yao (= 1×) peers Jianxu Mao

Countries citing papers authored by Yu Yao

Since Specialization
Citations

This map shows the geographic impact of Yu 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 Yu Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Yao more than expected).

Fields of papers citing papers by Yu Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu 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 Yu Yao. The network helps show where Yu Yao may publish in the future.

Co-authorship network of co-authors of Yu Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Yao. A scholar is included among the top collaborators of Yu 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 Yu Yao. Yu Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Feng, Jian, et al.. (2025). A knowledge transfer-based strategy for constrained multiobjective optimization. Swarm and Evolutionary Computation. 98. 102111–102111.
6.
Yao, Yu, Jian Feng, & Yue Liu. (2024). Domain Knowledge-Guided Contrastive Learning Framework Based on Complementary Views for Fault Diagnosis With Limited Labeled Data. IEEE Transactions on Industrial Informatics. 20(5). 8055–8063. 8 indexed citations
7.
Cui, Jianzhong, Yu Zhao, Yu Yao, et al.. (2024). Picometer-Sensitivity Surface Profile Measurement Using Swept-Source Phase Microscopy. Photonics. 11(10). 968–968.
8.
Yao, Yu, et al.. (2024). Adaptive neighborhood-perceived contrastive network for early stage fault diagnosis of rolling bearing with limited labeled data. Engineering Applications of Artificial Intelligence. 137. 109063–109063. 9 indexed citations
9.
Feng, Jian, et al.. (2024). Artificial Feature Bias Rectified by Self-Supervised Learning for Rolling Bearings Fault Diagnosis Under Limited Labeled Vibration Signals. IEEE Transactions on Instrumentation and Measurement. 74. 1–12. 1 indexed citations
11.
Qiu, Yang, Aiguo Zhou, Hanxiang Xiong, et al.. (2024). Probabilistic mapping of imbalanced data for groundwater contamination using classification algorithms: Performance and reliability. Groundwater for Sustainable Development. 28. 101393–101393. 2 indexed citations
12.
Liu, Bo-Heng, et al.. (2023). A data generation method with dual discriminators and regularization for surface defect detection under limited data. Computers in Industry. 151. 103963–103963. 16 indexed citations
13.
Feng, Jian, et al.. (2023). Weak Magnetic Flux Leakage Detection and Numerical Method Under Inclined Pressure Conditions. IEEE Transactions on Magnetics. 59(8). 1–9. 2 indexed citations
14.
Zhao, Yuqian, et al.. (2023). The Stress Phase Angle Measurement Using Spectral Domain Optical Coherence Tomography. Sensors. 23(17). 7597–7597. 1 indexed citations
16.
Yao, Yu, Guanghao Sun, Tetsuo Kirimoto, & M. Schiek. (2019). Extracting Cardiac Information From Medical Radar Using Locally Projective Adaptive Signal Separation. Frontiers in Physiology. 10. 568–568. 8 indexed citations
17.
Ma, Zhenhe, Jian Liu, Yuqian Zhao, et al.. (2018). Assessment of microvasculature flow state with a high speed all-optic dual-modal system of optical coherence tomography and photoacoustic imaging. Biomedical Optics Express. 9(12). 6103–6103. 9 indexed citations
18.
Xu, Long, et al.. (2011). Los information reconstruction of half strapdown seeker. Beijing Hangkong Hangtian Daxue xuebao. 37(7). 839. 1 indexed citations
19.
Yao, Yu, Fuxiang Gao, & Yu Ge. (2004). Hybrid BP/CNN neural network for intrusion detection. 226–228. 4 indexed citations
20.
Yao, Yu, et al.. (1992). Modeling of vehicle. 603–607. 1 indexed citations

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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