Standout Papers
- Remaining useful life estimation in prognostics using deep convolution neural networks (2017)
- Deep learning-based remaining useful life estimation of bearings using multi-scale feature extraction (2018)
- Multi-Layer domain adaptation method for rolling bearing fault diagnosis (2018)
- Cross-Domain Fault Diagnosis of Rolling Element Bearings Using Deep Generative Neural Networks (2018)
- Deep residual learning-based fault diagnosis method for rotating machinery (2018)
- Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism (2019)
- Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation (2018)
- Machinery fault diagnosis with imbalanced data using deep generative adversarial networks (2019)
- Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning (2019)
- A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning (2020)
- Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning (2021)
- A robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning (2018)
- Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning (2021)
- Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis (2022)
- Intelligent Machinery Fault Diagnosis With Event-Based Camera (2023)
- Partial Domain Adaptation in Remaining Useful Life Prediction With Incomplete Target Data (2023)
- Dynamic Vision-Based Machinery Fault Diagnosis with Cross-Modality Feature Alignment (2024)
- Neuromorphic computing-enabled generalized machine fault diagnosis with dynamic vision (2025)
Immediate Impact
1 by Nobel laureates 3 from Science/Nature 68 standout
Citing Papers
Few-shot fault diagnosis of axial piston pump based on prior knowledge-embedded meta learning vision transformer under variable operating conditions
2025 Standout
MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
2024 Standout
Works of Xiang Li being referenced
A lightweight residual network based on improved knowledge transfer and quantized distillation for cross-domain fault diagnosis of rolling bearings
2023
Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions
2021
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Xiang Li | 6698 | 4461 | 1564 | 1860 | 328 | 11.9k | |
| Robert X. Gao | 7650 | 6970 | 1990 | 1493 | 291 | 16.3k | |
| Shen Yin | 12845 | 3876 | 1486 | 2444 | 260 | 17.1k | |
| Steven X. Ding | 19314 | 5392 | 1614 | 3097 | 383 | 22.3k | |
| Zhang We | 4288 | 3013 | 1044 | 1455 | 227 | 8.6k | |
| Dong Wang | 7235 | 5356 | 2725 | 941 | 523 | 13.1k | |
| Weihua Li | 4709 | 2881 | 1077 | 1171 | 173 | 7.1k | |
| Ruqiang Yan | 13797 | 8653 | 2382 | 3069 | 345 | 20.7k | |
| Jianbo Yu | 3140 | 2756 | 978 | 837 | 289 | 6.8k | |
| Haidong Shao | 7283 | 4293 | 808 | 1627 | 118 | 9.0k | |
| Zhixiong Li | 2824 | 4825 | 1063 | 538 | 367 | 10.9k |
All Works
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