# Kun Tan

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/kun-tan/

## Facts

| Field | Value |
| --- | --- |
| Citations | 16,880 |
| Field | Remote-Sensing Image Classification |
| h-index | 61 |
| i10-index | 163 |
| Last Known Institution | Ministry of Natural Resources |
| OpenAlex ID | https://openalex.org/A5101482958 |
| ORCID iD | https://orcid.org/0000-0001-6353-0146 |
| Works | 366 |

## Researcher papers

- [Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning](https://scholariq.org/papers/estimating-the-distribution-trend-of-soil-heavy-metals-in-mining-area-from-hymap/)

## Researcher topics

- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)
- [Remote Sensing and Land Use](https://scholariq.org/topics/remote-sensing-and-land-use/)
- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Wireless Networks and Protocols](https://scholariq.org/topics/wireless-networks-and-protocols-2/)
- [Cooperative Communication and Network Coding](https://scholariq.org/topics/cooperative-communication-and-network-coding/)

## Researcher university

- [Ministry of Natural Resources](https://scholariq.org/institutions/ministry-of-natural-resources/)

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