# Christine Dewi

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/christine-dewi/

## Facts

| Field | Value |
| --- | --- |
| Citations | 3,182 |
| Field | Advanced Neural Network Applications |
| h-index | 24 |
| i10-index | 50 |
| Last Known Institution | Deakin University |
| OpenAlex ID | https://openalex.org/A5078312887 |
| ORCID iD | 0000-0002-1284-234X |
| Works | 150 |

## Researcher papers

- [Selecting critical features for data classification based on machine learning methods](https://scholariq.org/papers/selecting-critical-features-for-data-classification-based-on-machine-learning/)
- [Yolo V4 for Advanced Traffic Sign Recognition With Synthetic Training Data Generated by Various GAN](https://scholariq.org/papers/yolo-v4-for-advanced-traffic-sign-recognition-with-synthetic-training-data/)
- [DFN-PSAN: Multi-level deep information feature fusion extraction network for interpretable plant disease classification](https://scholariq.org/papers/dfn-psan-multi-level-deep-information-feature-fusion-extraction-network-for/)
- [Deep convolutional neural network for enhancing traffic sign recognition developed on Yolo V4](https://scholariq.org/papers/deep-convolutional-neural-network-for-enhancing-traffic-sign-recognition/)
- [Synthetic Data generation using DCGAN for improved traffic sign recognition](https://scholariq.org/papers/synthetic-data-generation-using-dcgan-for-improved-traffic-sign-recognition/)
- [Adjusting eye aspect ratio for strong eye blink detection based on facial landmarks](https://scholariq.org/papers/adjusting-eye-aspect-ratio-for-strong-eye-blink-detection-based-on-facial/)
- [Robust detection method for improving small traffic sign recognition based on spatial pyramid pooling](https://scholariq.org/papers/robust-detection-method-for-improving-small-traffic-sign-recognition-based-on/)
- [Deep Learning for Traffic Sign Recognition Based on Spatial Pyramid Pooling with Scale Analysis](https://scholariq.org/papers/deep-learning-for-traffic-sign-recognition-based-on-spatial-pyramid-pooling-with/)
- [ITF-WPI: Image and text based cross-modal feature fusion model for wolfberry pest recognition](https://scholariq.org/papers/itf-wpi-image-and-text-based-cross-modal-feature-fusion-model-for-wolfberry-pest/)
- [Eye Aspect Ratio for Real-Time Drowsiness Detection to Improve Driver Safety](https://scholariq.org/papers/eye-aspect-ratio-for-real-time-drowsiness-detection-to-improve-driver-safety/)

## Researcher topics

- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Vehicle License Plate Recognition](https://scholariq.org/topics/vehicle-license-plate-recognition/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Hand Gesture Recognition Systems](https://scholariq.org/topics/hand-gesture-recognition-systems/)
- [Data Mining and Machine Learning Applications](https://scholariq.org/topics/data-mining-and-machine-learning-applications/)

## Researcher university

- [Deakin University](https://scholariq.org/institutions/deakin-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.