Fangzhou Cheng

954 total citations
21 papers, 802 citations indexed

About

Fangzhou Cheng is a scholar working on Control and Systems Engineering, Mechanical Engineering and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Fangzhou Cheng has authored 21 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Control and Systems Engineering, 14 papers in Mechanical Engineering and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Fangzhou Cheng's work include Machine Fault Diagnosis Techniques (18 papers), Gear and Bearing Dynamics Analysis (14 papers) and Fault Detection and Control Systems (5 papers). Fangzhou Cheng is often cited by papers focused on Machine Fault Diagnosis Techniques (18 papers), Gear and Bearing Dynamics Analysis (14 papers) and Fault Detection and Control Systems (5 papers). Fangzhou Cheng collaborates with scholars based in United States, China and Japan. Fangzhou Cheng's co-authors include Liyan Qu, Wei Qiao, Yayu Peng, Jun Wang, Chun Wei, Xiaohang Jin, Ajay Raghavan, Deokwoo Jung, Srikanth V. Tenneti and Ritwik Giri and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Industry Applications and IEEE Transactions on Power Delivery.

In The Last Decade

Fangzhou Cheng

21 papers receiving 782 citations

Peers

Fangzhou Cheng

CSE

EEE

SRRQ

Wei Teng China

Cédric Peeters Belgium

Mani Entezami United Kingdom

Jianyu Wang China

Rafia Nishat Toma South Korea

Junjian Hou China

Yayu Peng United States

Jianhua Zhong China

Xuefeng Chen China

Prasanna Tamilselvan United States

Wei Teng China

Fangzhou Cheng

696 ×1.1

CSE

463 ×1.4

139 ×0.8

EEE

167 ×1.3

79 ×0.7

SRRQ

Citations per year, relative to Fangzhou Cheng Fangzhou Cheng (= 1×) peers Wei Teng

Countries citing papers authored by Fangzhou Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Fangzhou Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangzhou Cheng

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Peng, Yayu, Wei Qiao, Fangzhou Cheng, & Liyan Qu. (2021). Wind Turbine Drivetrain Gearbox Fault Diagnosis Using Information Fusion on Vibration and Current Signals. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 60 indexed citations

Raghavan, Ajay, P. Kiesel, Mark Teepe, et al.. (2020). Low-Cost Embedded Optical Sensing Systems For Distribution Transformer Monitoring. IEEE Transactions on Power Delivery. 36(2). 1007–1014. 20 indexed citations

Giri, Ritwik, et al.. (2020). Group masked autoencoder based density estimator for audio anomaly detection. 7 indexed citations

Giri, Ritwik, et al.. (2020). Self-supervised classification for detecting anomalous sounds. 21 indexed citations

Cheng, Fangzhou, et al.. (2019). High-Accuracy Unsupervised Fault Detection of Industrial Robots Using Current Signal Analysis. 1–8. 27 indexed citations

Jin, Xiaohang, Fangzhou Cheng, Yayu Peng, Wei Qiao, & Liyan Qu. (2018). Drivetrain Gearbox Fault Diagnosis: Vibration- and Current-Based Approaches. IEEE Industry Applications Magazine. 24(6). 56–66. 25 indexed citations

Cheng, Fangzhou, et al.. (2018). Fault Diagnosis of Wind Turbine Gearboxes Based on DFIG Stator Current Envelope Analysis. IEEE Transactions on Sustainable Energy. 10(3). 1044–1053. 79 indexed citations

Cheng, Fangzhou, et al.. (2018). Enhanced Particle Filtering for Bearing Remaining Useful Life Prediction of Wind Turbine Drivetrain Gearboxes. IEEE Transactions on Industrial Electronics. 66(6). 4738–4748. 88 indexed citations

Peng, Yayu, Fangzhou Cheng, Wei Qiao, & Liyan Qu. (2017). Fault prognosis of drivetrain gearbox based on a recurrent neural network. 11 indexed citations

10.

Wang, Jun, Fangzhou Cheng, Wei Qiao, & Liyan Qu. (2017). Multiscale Filtering Reconstruction for Wind Turbine Gearbox Fault Diagnosis Under Varying-Speed and Noisy Conditions. IEEE Transactions on Industrial Electronics. 65(5). 4268–4278. 65 indexed citations

11.

Cheng, Fangzhou, Jun Wang, Liyan Qu, & Wei Qiao. (2017). Rotor-Current-Based Fault Diagnosis for DFIG Wind Turbine Drivetrain Gearboxes Using Frequency Analysis and a Deep Classifier. IEEE Transactions on Industry Applications. 54(2). 1062–1071. 88 indexed citations

12.

Cheng, Fangzhou, Liyan Qu, & Wei Qiao. (2017). Fault Prognosis and Remaining Useful Life Prediction of Wind Turbine Gearboxes Using Current Signal Analysis. IEEE Transactions on Sustainable Energy. 9(1). 157–167. 142 indexed citations

13.

Cheng, Fangzhou, Jun Wang, Liyan Qu, & Wei Qiao. (2017). Rotor current-based fault diagnosis for DFIG wind turbine drivetrain gearboxes using frequency analysis and a deep classifier. 1–9. 15 indexed citations

14.

Cheng, Fangzhou, Chun Wei, Liyan Qu, & Wei Qiao. (2016). Fault diagnosis of wind turbine gearbox using DFIG stator current analysis. 1–7. 14 indexed citations

15.

Jin, Xiaohang, Wei Qiao, Yayu Peng, Fangzhou Cheng, & Liyan Qu. (2016). Quantitative Evaluation of Wind Turbine Faults Under Variable Operational Conditions. IEEE Transactions on Industry Applications. 52(3). 2061–2069. 38 indexed citations

16.

Cheng, Fangzhou, Yayu Peng, Liyan Qu, & Wei Qiao. (2016). Current-Based Fault Detection and Identification for Wind Turbine Drivetrain Gearboxes. IEEE Transactions on Industry Applications. 53(2). 878–887. 61 indexed citations

17.

Cheng, Fangzhou, Yayu Peng, Liyan Qu, & Wei Qiao. (2016). Current-based fault detection and identification for wind turbine drivetrain gearboxes. 1–9. 3 indexed citations

18.

Jin, Xiaohang, Fangzhou Cheng, Yayu Peng, Wei Qiao, & Liyan Qu. (2016). A comparative study on Vibration- and current-based approaches for drivetrain gearbox fault diagnosis. 1–8. 26 indexed citations

19.

Cheng, Fangzhou, Liyan Qu, & Wei Qiao. (2015). A case-based data-driven prediction framework for machine fault prognostics. 74. 3957–3963. 8 indexed citations

20.

Jin, Xiaohang, Yayu Peng, Fangzhou Cheng, Wei Qiao, & Liyan Qu. (2015). Quantitative evaluation of wind turbine faults under variable operational conditions. 15. 1–8. 3 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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