Standout Papers

Frequency-chirprate synchrosqueezing-based scaling chirplet transform for wind turbine nonstationary fault feature time–frequency representation 2024 202671
  1. Frequency-chirprate synchrosqueezing-based scaling chirplet transform for wind turbine nonstationary fault feature time–frequency representation (2024)
    Dezun Zhao, Honghao Wang et al. Mechanical Systems and Signal Processing

Immediate Impact

6 standout
Sub-graph 1 of 3

Citing Papers

Domain generalization for rotating machinery fault diagnosis: A survey
2024 Standout
Adaptive thresholding and coordinate attention-based tree-inspired network for aero-engine bearing health monitoring under strong noise
2024 Standout
1 intermediate paper

Works of Honghao Wang being referenced

Frequency-chirprate synchrosqueezing-based scaling chirplet transform for wind turbine nonstationary fault feature time–frequency representation
2024 Standout

Author Peers

Author Last Decade Papers Cites
Honghao Wang 33 12 60 30 7 99
Hailu Shimels Gebremedhen 63 26 66 60 8 171
Alexander N. Evgrafov 39 26 33 33 11 119
Gregory J. Kacprzynski 42 22 115 40 10 164
Chongdang Liu 48 8 89 16 7 144
Joseph Mathew 44 18 109 34 8 154
Clarence W. de Silva 40 7 62 7 6 90
Yuhang Ming 46 10 81 28 11 131
Shrinathan Esakimuthu Pandarakone 98 14 154 49 11 183
Luca Biggio 31 20 91 19 7 184
Dewei Yang 78 11 82 13 12 132

All Works

Loading papers...

Rankless by CCL
2026