# Su Yang

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/su-yang/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,270 |
| Field | EEG and Brain-Computer Interfaces |
| h-index | 15 |
| i10-index | 24 |
| Last Known Institution | Shanghai Dianji University |
| OpenAlex ID | https://openalex.org/A5040786747 |
| ORCID iD | 0000-0002-6618-7483 |
| Works | 70 |

## Researcher papers

- [EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder](https://scholariq.org/papers/eeg-based-emotion-classification-using-a-deep-neural-network-and-sparse/)
- [An Optimized Image Watermarking Method Based on HD and SVD in DWT Domain](https://scholariq.org/papers/an-optimized-image-watermarking-method-based-on-hd-and-svd-in-dwt-domain/)
- [Alzheimer's disease detection using depthwise separable convolutional neural networks](https://scholariq.org/papers/alzheimer-s-disease-detection-using-depthwise-separable-convolutional-neural/)
- [M/EEG-Based Bio-Markers to Predict the MCI and Alzheimer's Disease: A Review From the ML Perspective](https://scholariq.org/papers/m-eeg-based-bio-markers-to-predict-the-mci-and-alzheimer-s-disease-a-review-from/)
- [Echo state network optimization using binary grey wolf algorithm](https://scholariq.org/papers/echo-state-network-optimization-using-binary-grey-wolf-algorithm/)
- [Intelligent Traffic Light Control by Exploring Strategies in an Optimised Space of Deep Q-Learning](https://scholariq.org/papers/intelligent-traffic-light-control-by-exploring-strategies-in-an-optimised-space/)
- [Traffic signal control using reinforcement learning based on the teacher-student framework](https://scholariq.org/papers/traffic-signal-control-using-reinforcement-learning-based-on-the-teacher-student/)
- [An echo state network architecture based on quantum logic gate and its optimization](https://scholariq.org/papers/an-echo-state-network-architecture-based-on-quantum-logic-gate-and-its/)
- [Spiking neural network-based multi-task autonomous learning for mobile robots](https://scholariq.org/papers/spiking-neural-network-based-multi-task-autonomous-learning-for-mobile-robots/)
- [Multiple intersections traffic signal control based on cooperative multi-agent reinforcement learning](https://scholariq.org/papers/multiple-intersections-traffic-signal-control-based-on-cooperative-multi-agent/)
- [Multimodal Cardiopulmonary Bypass Skills Assessment Within a High-Fidelity Simulation Environment](https://scholariq.org/papers/multimodal-cardiopulmonary-bypass-skills-assessment-within-a-high-fidelity/)

## Researcher topics

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Functional Brain Connectivity Studies](https://scholariq.org/topics/functional-brain-connectivity-studies/)
- [Neural dynamics and brain function](https://scholariq.org/topics/neural-dynamics-and-brain-function/)
- [Advanced Memory and Neural Computing](https://scholariq.org/topics/advanced-memory-and-neural-computing/)
- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)

## Researcher university

- [Shanghai Dianji University](https://scholariq.org/institutions/shanghai-dianji-university/)

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