# Sai Ma

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/sai-ma/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,219 |
| Field | Machine Fault Diagnosis Techniques |
| h-index | 15 |
| i10-index | 20 |
| Last Known Institution | Shandong University |
| OpenAlex ID | https://openalex.org/A5061236798 |
| ORCID iD | 0000-0002-9666-4025 |
| Works | 37 |

## Researcher papers

- [Dynamic changes of spatial functional network connectivity in healthy individuals and schizophrenia patients using independent vector analysis](https://scholariq.org/papers/dynamic-changes-of-spatial-functional-network-connectivity-in-healthy/)
- [Ensemble deep learning-based fault diagnosis of rotor bearing systems](https://scholariq.org/papers/ensemble-deep-learning-based-fault-diagnosis-of-rotor-bearing-systems/)
- [Automatic Identification of Functional Clusters in fMRI Data Using Spatial Dependence](https://scholariq.org/papers/automatic-identification-of-functional-clusters-in-fmri-data-using-spatial/)
- [Deep residual learning with demodulated time-frequency features for fault diagnosis of planetary gearbox under nonstationary running conditions](https://scholariq.org/papers/deep-residual-learning-with-demodulated-time-frequency-features-for-fault/)
- [High Classification Accuracy for Schizophrenia with Rest and Task fMRI Data](https://scholariq.org/papers/high-classification-accuracy-for-schizophrenia-with-rest-and-task-fmri-data/)
- [Kernel density estimation model for wind speed probability distribution with applicability to wind energy assessment in China](https://scholariq.org/papers/kernel-density-estimation-model-for-wind-speed-probability-distribution-with/)
- [Modulations of functional connectivity in the healthy and schizophrenia groups during task and rest](https://scholariq.org/papers/modulations-of-functional-connectivity-in-the-healthy-and-schizophrenia-groups/)
- [Sparse representation learning for fault feature extraction and diagnosis of rotating machinery](https://scholariq.org/papers/sparse-representation-learning-for-fault-feature-extraction-and-diagnosis-of/)
- [Enhanced Sparse Low-Rank Representation via Nonconvex Regularization for Rotating Machinery Early Fault Feature Extraction](https://scholariq.org/papers/enhanced-sparse-low-rank-representation-via-nonconvex-regularization-for/)
- [Capturing group variability using IVA: A simulation study and graph-theoretical analysis](https://scholariq.org/papers/capturing-group-variability-using-iva-a-simulation-study-and-graph-theoretical/)
- [Robust discriminant latent variable manifold learning for rotating machinery fault diagnosis](https://scholariq.org/papers/robust-discriminant-latent-variable-manifold-learning-for-rotating-machinery/)

## Researcher topics

- [Machine Fault Diagnosis Techniques](https://scholariq.org/topics/machine-fault-diagnosis-techniques/)
- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)
- [Functional Brain Connectivity Studies](https://scholariq.org/topics/functional-brain-connectivity-studies/)
- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Engineering Diagnostics and Reliability](https://scholariq.org/topics/engineering-diagnostics-and-reliability/)

## Researcher university

- [Shandong University](https://scholariq.org/institutions/shandong-university/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.