# Zekai Feng

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/zekai-feng/

## Facts

| Field | Value |
| --- | --- |
| Citations | 14 |
| Field | Smart Agriculture and AI |
| h-index | 1 |
| i10-index | 1 |
| Last Known Institution | Shenzhen University |
| OpenAlex ID | https://openalex.org/A5053821841 |
| Works | 5 |

## Researcher papers

- [Spectral Data Classification By One-Dimensional Convolutional Neural Networks](https://scholariq.org/papers/spectral-data-classification-by-one-dimensional-convolutional-neural-networks/)
- [Identification of Cotton Growing Stage Based on Faster-RCNN](https://scholariq.org/papers/identification-of-cotton-growing-stage-based-on-faster-rcnn/)
- [Research on the Coordination Mechanism of Fiscal and Monetary Regulation](https://scholariq.org/papers/research-on-the-coordination-mechanism-of-fiscal-and-monetary-regulation/)
- [Transfer Learning Based Crop Disease Identification Using State-of-the-art Deep Learning Framework](https://scholariq.org/papers/transfer-learning-based-crop-disease-identification-using-state-of-the-art-deep/)
- [Long-Tailed Recognition Based on Self-attention Mechanism](https://scholariq.org/papers/long-tailed-recognition-based-on-self-attention-mechanism/)

## Researcher topics

- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Domain Adaptation and Few-Shot Learning](https://scholariq.org/topics/domain-adaptation-and-few-shot-learning/)
- [Anomaly Detection Techniques and Applications](https://scholariq.org/topics/anomaly-detection-techniques-and-applications/)
- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)

## Researcher university

- [Shenzhen University](https://scholariq.org/institutions/shenzhen-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.