Standout Papers

A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions 2024 202681
  1. A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions (2024)
    Tianyu Gao, Jingli Yang et al. Information Fusion

Immediate Impact

1 from Science/Nature 50 standout
Sub-graph 1 of 24

Citing Papers

Fault diagnosis method for imbalanced data based on adaptive diffusion models and generative adversarial networks
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2 intermediate papers

Works of Qing Tang being referenced

A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions
2024 Standout
Technological advances in super-resolution microscopy to study cellular processes
2022

Author Peers

Author Last Decade Papers Cites
Qing Tang 129 134 16 121 18 442
Adnan Shakoor 36 124 1 224 36 449
Jinyu Fan 32 229 1 49 33 400
Ashok Ramasubramanian 138 193 94 128 18 433
Guojiang Zhang 51 149 2 33 35 396
Jingchen Li 51 130 5 167 38 470
Sivabal Sivaloganathan 63 102 6 152 24 495
Devin Neal 112 130 12 338 12 491
E. Scott 17 148 2 248 22 458
Zheng Li 49 267 4 93 15 395
Patrick R. Sears 59 149 9 106 25 491

All Works

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2026