Standout Papers

AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions 2025 202640
  1. AGFCN:A bearing fault diagnosis method for high-speed train bogie under complex working conditions (2025)
    Deqiang He, Jinxin Wu et al. Reliability Engineering & System Safety
  2. Prediction of bearing remaining useful life based on a two-stage updated digital twin (2025)
    Deqiang He, Jiayang Zhao et al. Advanced Engineering Informatics
  3. A zero-shot model for diagnosing unknown composite faults in train bearings based on label feature vector generated fault features (2025)
    Deqiang He, Zhenzhen Jin et al. Applied Acoustics

Immediate Impact

51 standout
Sub-graph 1 of 25

Citing Papers

Strategic advancements in targeting the PI3K/AKT/mTOR pathway for Breast cancer therapy
2025 Standout
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 Standout
1 intermediate paper

Works of Zhenzhen Jin being referenced

Prediction of bearing remaining useful life based on a two-stage updated digital twin
2025 Standout
Preclinical study of CC223 as a potential anti-ovarian cancer agent
2017

Author Peers

Author Last Decade Papers Cites
Zhenzhen Jin 81 223 40 178 36 497
Bingyang Chen 15 172 27 111 33 456
Huifang Niu 47 187 18 123 31 560
Xiangqun Liu 77 141 25 73 30 440
Xinxin Zhang 26 142 9 67 45 481
Dongming Guo 20 160 27 75 43 517
Jie Hu 68 167 22 36 31 480
Jie Rong 31 126 46 98 37 419
Shoufeng Liu 65 101 51 28 25 455
Emilio Di Lorenzo 58 113 65 27 30 420
Jianghong Chen 9 147 12 82 41 455

All Works

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Rankless by CCL
2026