Standout Papers

An enhanced convolutional neural network for bearing fault diagnosis based on time–frequency image 2020 2026 2022 2024199
  1. An enhanced convolutional neural network for bearing fault diagnosis based on time–frequency image (2020)
    Ying Zhang, Ruxue Bai et al. Measurement

Immediate Impact

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Citing Papers

MSIFT: A novel end-to-end mechanical fault diagnosis framework under limited & imbalanced data using multi-source information fusion
2025 Standout
Hybrid triboelectric-variable reluctance generator assisted wireless intelligent condition monitoring of aero-engine main bearings
2025 Standout
7 intermediate papers

Works of Dengyun Sun being referenced

Intelligent fault diagnosis scheme for rolling bearing based on domain adaptation in one dimensional feature matching
2023
An enhanced convolutional neural network for bearing fault diagnosis based on time–frequency image
2020 Standout
and 3 more

Author Peers

Author Last Decade Papers Cites
Dengyun Sun 495 288 175 17 568
Qin Hu 416 230 150 24 557
Aisong Qin 477 263 179 23 617
Qinghua Zhang 497 276 175 33 632
Shanshan Ji 442 282 142 17 581
Mohd Syahril Ramadhan Mohd Saufi 402 242 115 19 520
Alexander E. Prosvirin 453 302 168 20 582
Jialin Li 438 245 172 21 587
Yu Xin 488 312 187 28 584
Sheng Guo 460 244 163 19 623
Daoming She 460 274 149 23 607

All Works

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2026