# Gui‐Bin Bian

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/gui-bin-bian/

## Facts

| Field | Value |
| --- | --- |
| Citations | 4,818 |
| Field | Surgical Simulation and Training |
| h-index | 33 |
| i10-index | 74 |
| Last Known Institution | Taiyuan University of Technology |
| OpenAlex ID | https://openalex.org/A5033076846 |
| ORCID iD | 0000-0003-4708-2245 |
| Works | 180 |

## Researcher papers

- [Removal of Artifacts from EEG Signals: A Review](https://scholariq.org/papers/removal-of-artifacts-from-eeg-signals-a-review/)
- [Performance Analysis of Google Colaboratory as a Tool for Accelerating Deep Learning Applications](https://scholariq.org/papers/performance-analysis-of-google-colaboratory-as-a-tool-for-accelerating-deep/)
- [Deep Learning-Based Solar-Cell Manufacturing Defect Detection With Complementary Attention Network](https://scholariq.org/papers/deep-learning-based-solar-cell-manufacturing-defect-detection-with-complementary/)
- [ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images](https://scholariq.org/papers/resdo-unet-a-deep-residual-network-for-accurate-retinal-vessel-segmentation-from/)
- [An intelligent learning approach for improving ECG signal classification and arrhythmia analysis](https://scholariq.org/papers/an-intelligent-learning-approach-for-improving-ecg-signal-classification-and/)
- [RAUNet: Residual Attention U-Net for Semantic Segmentation of Cataract Surgical Instruments](https://scholariq.org/papers/raunet-residual-attention-u-net-for-semantic-segmentation-of-cataract-surgical/)
- [A hybrid deep segmentation network for fundus vessels via deep-learning framework](https://scholariq.org/papers/a-hybrid-deep-segmentation-network-for-fundus-vessels-via-deep-learning/)
- [An enhancement of task scheduling in cloud computing based on imperialist competitive algorithm and firefly algorithm](https://scholariq.org/papers/an-enhancement-of-task-scheduling-in-cloud-computing-based-on-imperialist/)
- [Energy-Aware Green Adversary Model for Cyberphysical Security in Industrial System](https://scholariq.org/papers/energy-aware-green-adversary-model-for-cyberphysical-security-in-industrial/)
- [Wave-Net: A lightweight deep network for retinal vessel segmentation from fundus images](https://scholariq.org/papers/wave-net-a-lightweight-deep-network-for-retinal-vessel-segmentation-from-fundus/)
- [A Multilayer and Multimodal-Fusion Architecture for Simultaneous Recognition of Endovascular Manipulations and Assessment of Technical Skills](https://scholariq.org/papers/a-multilayer-and-multimodal-fusion-architecture-for-simultaneous-recognition-of/)
- [Surgical Skill Assessment Based on Dynamic Warping Manipulations](https://scholariq.org/papers/surgical-skill-assessment-based-on-dynamic-warping-manipulations/)

## Researcher topics

- [Surgical Simulation and Training](https://scholariq.org/topics/surgical-simulation-and-training/)
- [Soft Robotics and Applications](https://scholariq.org/topics/soft-robotics-and-applications/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)
- [Advanced X-ray and CT Imaging](https://scholariq.org/topics/advanced-x-ray-and-ct-imaging/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

## Researcher university

- [Taiyuan University of Technology](https://scholariq.org/institutions/taiyuan-university-of-technology/)

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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.