Fengyu Zhou

1.4k citations
122 papers · 903 indexed · 1 hit paper · h-index 15

Fengyu Zhou

105 papers receiving 870 citations

Hit Papers

A Novel Data Augmentation Method Based on Denoising Diffu...69202420262025204060

Peers

Fengyu Zhou
Comparison fields: 5 of 99
  • Control and Systems Engineering 357
  • Computer Vision and Pattern Recognition 248
  • Artificial Intelligence 282
  • Modeling and Simulation 33
  • Aerospace Engineering 95
Replace Jaime Pacheco with:
Jaime Pacheco Mexico
Ibraheem Kasim Ibraheem Iraq
Yantao Tian China
Tufan Kumbasar Türkiye
Claudiu Pozna Romania
Claudia‐Adina Bojan‐Dragos Romania
Gabriel A. D. Lopes Netherlands
Yangzhou Chen China
Cosmin Copot Belgium
Rui Huang China
Fengyu Zhou relative to Jaime Pacheco Mexico Jaime Pacheco's profile →
Citations per field
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Jaime Pacheco · 1×
Citations per year

Countries citing papers authored by Fengyu Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Fengyu Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Fengyu Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fengyu Zhou Line = papers co-authored together Fengyu Zhou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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A Novel Data Augmentation Method Based on Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Imbalanced Databreakdown →
202469
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Target position and channel parameter simultaneous estimation algorithm based on Unscented Kalman filter
20112

About Fengyu Zhou

Fengyu Zhou is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 122 papers that have together received 903 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (20 papers), Robotics and Automated Systems (17 papers), Multimodal Machine Learning Applications (16 papers), Robotic Path Planning Algorithms (13 papers), Machine Fault Diagnosis Techniques (12 papers), Advanced Image and Video Retrieval Techniques (12 papers), Anomaly Detection Techniques and Applications (11 papers) and Human Pose and Action Recognition (9 papers). The work is most often cited by research in Control and Systems Engineering (357 citations), Computer Vision and Pattern Recognition (248 citations) and Artificial Intelligence (282 citations). Fengyu Zhou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xianfeng Yuan, Yan Li, Jin Liu, Ke Chen, Guohui Tian, YangQuan Chen, Yang Zhao, Shoushui Wei, Junyan Li and Yatao Zhang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Expert Systems with Applications and IEEE Access.

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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