Standout Papers

Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges 2025 202618
  1. Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges (2025)
    Kun Yu, Yongchao Zhang et al. Mechanical Systems and Signal Processing

Immediate Impact

1 from Science/Nature 51 standout
Sub-graph 1 of 22

Citing Papers

A zero-shot model for diagnosing unknown composite faults in train bearings based on label feature vector generated fault features
2025 Standout
Appraisal of potential toxic elements pollution, sources apportionment, and health risks in groundwater from a coastal area of SE China
2025 Standout
2 intermediate papers

Works of Zeyu Ma being referenced

A novel metric-based model with the ability of zero-shot learning for intelligent fault diagnosis
2023
Analysis of Spatial Variations and Sources of Heavy Metals in Farmland Soils of Beijing Suburbs
2015

Author Peers

Author Last Decade Papers Cites
Zeyu Ma 116 84 89 97 19 425
Xiao Xiao 40 19 30 67 37 461
Sameer Maithel 47 23 39 78 11 466
Xuemin Zhang 39 7 95 59 39 419
Wenguang Li 226 11 23 44 28 500
Wang Xiang 52 103 73 42 29 490
Yi Hu 67 23 33 17 24 460
Marcos Sebastião de Paula Gomes 82 17 27 34 23 494
Victor Timmers 23 28 264 227 8 469
Fahad AlRukaibi 13 45 79 47 30 424
Sulaiman O. Fadlallah 35 33 57 157 33 447

All Works

Loading papers...

Rankless by CCL
2026