# Qiaokang Liang

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/qiaokang-liang/

## Facts

| Field | Value |
| --- | --- |
| Citations | 2,183 |
| Field | Industrial Vision Systems and Defect Detection |
| h-index | 26 |
| i10-index | 45 |
| Last Known Institution | Centre for Artificial Intelligence and Robotics |
| OpenAlex ID | https://openalex.org/A5064773330 |
| ORCID iD | 0000-0002-5504-9966 |
| Works | 111 |

## Researcher papers

- [PD2SE-Net: Computer-assisted plant disease diagnosis and severity estimation network](https://scholariq.org/papers/pd2se-net-computer-assisted-plant-disease-diagnosis-and-severity-estimation/)
- [Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging](https://scholariq.org/papers/efficient-skin-lesion-segmentation-using-separable-unet-with-stochastic-weight/)
- [GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification](https://scholariq.org/papers/gp-cnn-dtel-global-part-cnn-model-with-data-transformed-ensemble-learning-for/)
- [Design and fabrication of a six-dimensional wrist force/torque sensor based on E-type membranes compared to cross beams](https://scholariq.org/papers/design-and-fabrication-of-a-six-dimensional-wrist-force-torque-sensor-based-on-e/)
- [Six-DOF micro-manipulator based on compliant parallel mechanism with integrated force sensor](https://scholariq.org/papers/six-dof-micro-manipulator-based-on-compliant-parallel-mechanism-with-integrated/)
- [Multi-Dimensional MEMS/Micro Sensor for Force and Moment Sensing: A Review](https://scholariq.org/papers/multi-dimensional-mems-micro-sensor-for-force-and-moment-sensing-a-review/)
- [Multi-Component FBG-Based Force Sensing Systems by Comparison With Other Sensing Technologies: A Review](https://scholariq.org/papers/multi-component-fbg-based-force-sensing-systems-by-comparison-with-other-sensing/)
- [Identifying plant disease and severity from leaves: A deep multitask learning framework using triple-branch Swin Transformer and deep supervision](https://scholariq.org/papers/identifying-plant-disease-and-severity-from-leaves-a-deep-multitask-learning/)
- [Design and Analysis of a Sensor System for Cutting Force Measurement in Machining Processes](https://scholariq.org/papers/design-and-analysis-of-a-sensor-system-for-cutting-force-measurement-in/)
- [Weakly Supervised Biomedical Image Segmentation by Reiterative Learning](https://scholariq.org/papers/weakly-supervised-biomedical-image-segmentation-by-reiterative-learning/)

## Researcher topics

- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)
- [Advanced MEMS and NEMS Technologies](https://scholariq.org/topics/advanced-mems-and-nems-technologies/)
- [Robotic Mechanisms and Dynamics](https://scholariq.org/topics/robotic-mechanisms-and-dynamics/)
- [Robot Manipulation and Learning](https://scholariq.org/topics/robot-manipulation-and-learning/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

## Researcher university

- [Centre for Artificial Intelligence and Robotics](https://scholariq.org/institutions/centre-for-artificial-intelligence-and-robotics/)

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