# Zhejiang Energy Group (China)

**Type:** Institutions  
**Canonical URL:** https://scholariq.org/institutions/zhejiang-energy-group-china/

## Facts

| Field | Value |
| --- | --- |
| Avg h-index | 20 |
| Citations | 70,298 |
| City | Hangzhou |
| Country | CN |
| Description | Zhejiang Energy Group (China) is a research organisation in Hangzhou, CN. OpenAlex records 2,476 works and 70,298 citations for it. 1,422 researchers list it as their most recent affiliation. |
| Homepage | http://www.zjenergy.com.cn/ |
| OpenAlex ID | https://openalex.org/I4210132615 |
| Researchers | 1,422 |
| ROR ID | https://ror.org/03a2tkf74 |
| Type | company |
| Works | 2,476 |

## University papers

- [Deep learning based multi-temporal crop classification](https://scholariq.org/papers/deep-learning-based-multi-temporal-crop-classification/)
- [Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery](https://scholariq.org/papers/efficient-corn-and-soybean-mapping-with-temporal-extendability-a-multi-year/)
- [Automated mapping of soybean and corn using phenology](https://scholariq.org/papers/automated-mapping-of-soybean-and-corn-using-phenology/)
- [SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery](https://scholariq.org/papers/skysense-a-multi-modal-remote-sensing-foundation-model-towards-universal/)
- [FROM-GC: 30 m global cropland extent derived through multisource data integration](https://scholariq.org/papers/from-gc-30-m-global-cropland-extent-derived-through-multisource-data-integration/)
- [DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classification](https://scholariq.org/papers/dkdfn-domain-knowledge-guided-deep-collaborative-fusion-network-for-multimodal/)
- [Early- and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach](https://scholariq.org/papers/early-and-in-season-crop-type-mapping-without-current-year-ground-truth/)
- [A phenology-based approach to map crop types in the San Joaquin Valley, California](https://scholariq.org/papers/a-phenology-based-approach-to-map-crop-types-in-the-san-joaquin-valley/)
- [Mapping dynamic cover types in a large seasonally flooded wetland using extended principal component analysis and object-based classification](https://scholariq.org/papers/mapping-dynamic-cover-types-in-a-large-seasonally-flooded-wetland-using-extended/)
- [Wheat yield estimation using remote sensing data based on machine learning approaches](https://scholariq.org/papers/wheat-yield-estimation-using-remote-sensing-data-based-on-machine-learning/)
- [Improved monitoring of southern corn rust using UAV-based multi-view imagery and an attention-based deep learning method](https://scholariq.org/papers/improved-monitoring-of-southern-corn-rust-using-uav-based-multi-view-imagery-and/)

## University researchers

- [Liheng Zhong](https://scholariq.org/researchers/liheng-zhong/)

## University top topics

Showing 8 of 24.

- [Advancements in Battery Materials](https://scholariq.org/topics/advancements-in-battery-materials/)
- [Advanced Battery Materials and Technologies](https://scholariq.org/topics/advanced-battery-materials-and-technologies/)
- [Thermochemical Biomass Conversion Processes](https://scholariq.org/topics/thermochemical-biomass-conversion-processes/)
- [Catalytic Processes in Materials Science](https://scholariq.org/topics/catalytic-processes-in-materials-science/)
- [Advanced Battery Technologies Research](https://scholariq.org/topics/advanced-battery-technologies-research/)
- [Perovskite Materials and Applications](https://scholariq.org/topics/perovskite-materials-and-applications/)
- [Advanced battery technologies research](https://scholariq.org/topics/advanced-battery-technologies-research-2/)
- [Supercapacitor Materials and Fabrication](https://scholariq.org/topics/supercapacitor-materials-and-fabrication/)

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