Beibei Yao

425 total citations
8 papers, 335 citations indexed

About

Beibei Yao is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computer Networks and Communications. According to data from OpenAlex, Beibei Yao has authored 8 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Control and Systems Engineering, 4 papers in Mechanical Engineering and 2 papers in Computer Networks and Communications. Recurrent topics in Beibei Yao's work include Machine Fault Diagnosis Techniques (5 papers), Gear and Bearing Dynamics Analysis (4 papers) and Fault Detection and Control Systems (3 papers). Beibei Yao is often cited by papers focused on Machine Fault Diagnosis Techniques (5 papers), Gear and Bearing Dynamics Analysis (4 papers) and Fault Detection and Control Systems (3 papers). Beibei Yao collaborates with scholars based in China, France and United Kingdom. Beibei Yao's co-authors include Lifeng Wu, Yong Guan, Zhen Peng, Lei Shu, Zhangbing Zhou, Shengrong Bu, Ran Zhang, Jia Su and Xiaohui Fu and has published in prestigious journals such as IEEE Access, Sensors and IEEE Sensors Journal.

In The Last Decade

Beibei Yao

8 papers receiving 325 citations

Peers

Beibei Yao
Sekhar Tangirala United States
Zhigang Feng China
Mazidah Tajjudin Malaysia
Junhe Wan China
Yunsai Chen China
Yujia Wang China
Junwu Zhou China
Dianrui Wang China
Ali Awada Lebanon
Tat-Hien Le Vietnam
Sekhar Tangirala United States
Beibei Yao
Citations per year, relative to Beibei Yao Beibei Yao (= 1×) peers Sekhar Tangirala

Countries citing papers authored by Beibei Yao

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beibei Yao

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

All Works

8 of 8 papers shown
1.
Yao, Beibei, Jia Su, Lifeng Wu, & Yong Guan. (2017). Modified Local Linear Embedding Algorithm for Rolling Element Bearing Fault Diagnosis. Applied Sciences. 7(11). 1178–1178. 9 indexed citations
2.
Wu, Lifeng, Beibei Yao, Zhen Peng, & Yong Guan. (2017). An adaptive threshold algorithm for sensor fault based on the grey theory. Advances in Mechanical Engineering. 9(2). 10 indexed citations
3.
Wu, Lifeng, Beibei Yao, Zhen Peng, & Yong Guan. (2017). Fault Diagnosis of Roller Bearings Based on a Wavelet Neural Network and Manifold Learning. Applied Sciences. 7(2). 158–158. 36 indexed citations
4.
Zhang, Ran, Zhen Peng, Lifeng Wu, Beibei Yao, & Yong Guan. (2017). Fault Diagnosis from Raw Sensor Data Using Deep Neural Networks Considering Temporal Coherence. Sensors. 17(3). 549–549. 101 indexed citations
5.
Yao, Beibei, Zhen Peng, Lifeng Wu, & Yong Guan. (2017). Rolling Element Bearing Fault Diagnosis Using Improved Manifold Learning. IEEE Access. 5. 6027–6035. 42 indexed citations
6.
Zhang, Ran, Lifeng Wu, Xiaohui Fu, & Beibei Yao. (2016). Classification of bearing data based on deep belief networks. 4. 1–6. 3 indexed citations
7.
Zhou, Zhangbing, et al.. (2015). E-CARP: An Energy Efficient Routing Protocol for UWSNs in the Internet of Underwater Things. IEEE Sensors Journal. 16(11). 4072–4082. 132 indexed citations
8.
Yao, Beibei, et al.. (2015). An Energy Efficient Routing Protocol for Underwater WSNs. 669–672. 2 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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2026