# Qiufeng Wu

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/qiufeng-wu/

## Facts

| Field | Value |
| --- | --- |
| Citations | 1,837 |
| Field | Smart Agriculture and AI |
| h-index | 19 |
| i10-index | 27 |
| Last Known Institution | Northeast Agricultural University |
| OpenAlex ID | https://openalex.org/A5019211546 |
| ORCID iD | 0000-0002-4787-2549 |
| Works | 57 |

## Researcher papers

- [DCGAN-Based Data Augmentation for Tomato Leaf Disease Identification](https://scholariq.org/papers/dcgan-based-data-augmentation-for-tomato-leaf-disease-identification/)
- [Can Deep Learning Identify Tomato Leaf Disease?](https://scholariq.org/papers/can-deep-learning-identify-tomato-leaf-disease/)
- [Automatic grape leaf diseases identification via UnitedModel based on multiple convolutional neural networks](https://scholariq.org/papers/automatic-grape-leaf-diseases-identification-via-unitedmodel-based-on-multiple/)
- [Detecting soybean leaf disease from synthetic image using multi-feature fusion faster R-CNN](https://scholariq.org/papers/detecting-soybean-leaf-disease-from-synthetic-image-using-multi-feature-fusion/)
- [Grape Leaf Spot Identification Under Limited Samples by Fine Grained-GAN](https://scholariq.org/papers/grape-leaf-spot-identification-under-limited-samples-by-fine-grained-gan/)
- [RiceNet: A two stage machine learning method for rice disease identification](https://scholariq.org/papers/ricenet-a-two-stage-machine-learning-method-for-rice-disease-identification/)
- [Multi-label learning for crop leaf diseases recognition and severity estimation based on convolutional neural networks](https://scholariq.org/papers/multi-label-learning-for-crop-leaf-diseases-recognition-and-severity-estimation/)
- [Agricultural commodity futures prices prediction via long- and short-term time series network](https://scholariq.org/papers/agricultural-commodity-futures-prices-prediction-via-long-and-short-term-time/)
- [Grape leaf disease identification with sparse data via generative adversarial networks and convolutional neural networks](https://scholariq.org/papers/grape-leaf-disease-identification-with-sparse-data-via-generative-adversarial/)
- [Automatic strawberry leaf scorch severity estimation via faster R-CNN and few-shot learning](https://scholariq.org/papers/automatic-strawberry-leaf-scorch-severity-estimation-via-faster-r-cnn-and-few/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Plant Disease Management Techniques](https://scholariq.org/topics/plant-disease-management-techniques/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Leaf Properties and Growth Measurement](https://scholariq.org/topics/leaf-properties-and-growth-measurement/)
- [Remote Sensing and Land Use](https://scholariq.org/topics/remote-sensing-and-land-use/)

## Researcher university

- [Northeast Agricultural University](https://scholariq.org/institutions/northeast-agricultural-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.