# Qinghan Dong

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/qinghan-dong/

## Facts

| Field | Value |
| --- | --- |
| Citations | 930 |
| Field | Remote Sensing in Agriculture |
| h-index | 13 |
| i10-index | 15 |
| OpenAlex ID | https://openalex.org/A5113784682 |
| ORCID iD | 0000-0002-9377-1992 |
| Works | 45 |

## Researcher papers

- [Challenges and opportunities in remote sensing-based crop monitoring: a review](https://scholariq.org/papers/challenges-and-opportunities-in-remote-sensing-based-crop-monitoring-a-review/)
- [Theczc operon ofAlcaligenes eutrophus CH34: from resistance mechanism to the removal of heavy metals](https://scholariq.org/papers/theczc-operon-ofalcaligenes-eutrophus-ch34-from-resistance-mechanism-to-the/)
- [The <i>sss</i> gene product, which affects pyoverdin production in <i>Pseudomonas aeruginosa</i> 7NSK2, is a site‐specific recombinease](https://scholariq.org/papers/the-i-sss-i-gene-product-which-affects-pyoverdin-production-in-i-pseudomonas/)
- [SugarcaneGAN: A novel dataset generating approach for sugarcane leaf diseases based on lightweight hybrid CNN-Transformer network](https://scholariq.org/papers/sugarcanegan-a-novel-dataset-generating-approach-for-sugarcane-leaf-diseases/)
- [Potential of ensemble tree methods for early-season prediction of winter wheat yield from short time series of remotely sensed normalized difference vegetation index and<i>in situ</i>meteorological data](https://scholariq.org/papers/potential-of-ensemble-tree-methods-for-early-season-prediction-of-winter-wheat/)
- [Czc/Cnr efflux: a three‐component chemiosmotlc antiport pathway with a 12‐transmembrane‐helix protein](https://scholariq.org/papers/czc-cnr-efflux-a-three-component-chemiosmotlc-antiport-pathway-with-a-12/)
- [A comparison of machine learning algorithms for regional wheat yield prediction using NDVI time series of SPOT-VGT](https://scholariq.org/papers/a-comparison-of-machine-learning-algorithms-for-regional-wheat-yield-prediction/)
- [Soil moisture content retrieval based on apparent thermal inertia for Xinjiang province in China](https://scholariq.org/papers/soil-moisture-content-retrieval-based-on-apparent-thermal-inertia-for-xinjiang/)
- [Crop type identification by integration of high-spatial resolution multispectral data with features extracted from coarse-resolution time-series vegetation index data](https://scholariq.org/papers/crop-type-identification-by-integration-of-high-spatial-resolution-multispectral/)
- [Crop Classification Based on a Novel Feature Filtering and Enhancement Method](https://scholariq.org/papers/crop-classification-based-on-a-novel-feature-filtering-and-enhancement-method/)

## Researcher topics

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Remote Sensing and Land Use](https://scholariq.org/topics/remote-sensing-and-land-use/)
- [Land Use and Ecosystem Services](https://scholariq.org/topics/land-use-and-ecosystem-services/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)

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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.