Author

Xiuliang Jin

Institutions: Chinese Academy of Agricultural Sciences, Institute of Crop Sciences

Observed institutions: Chinese Academy of Agricultural Sciences, Institute of Crop Sciences

ORCID: 0000-0003-1577-1310

Observed ORCID: 0000-0003-1577-1310

OpenAlex ID: A5112840552

Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms

2021 · Shuaibing Liu, Xiuliang Jin, et al. · PLANT PHYSIOLOGY · 171

A fast and robust method for plant count in sunflower and maize at different seedling stages using high-resolution UAV RGB imagery

2022 · Yi Bai, Chenwei Nie, et al. · Precision Agriculture · 52

Comprehensive analysis of hyperspectral features for monitoring canopy maize leaf spot disease

2024 · Yali Bai, Chenwei Nie, et al. · Computers and Electronics in Agriculture · 32

Accurately estimate soybean growth stages from UAV imagery by accounting for spatial heterogeneity and climate factors across multiple environments

2024 · Yingpu Che, Yongzhe Gu, et al. · Computers and Electronics in Agriculture · 10

YOLO-light-pruned: A lightweight model for monitoring maize seedling count and leaf age using near-ground and UAV RGB images

2025 · Tiantian Jiang, Liang Li, et al. · Artificial Intelligence in Agriculture · 9

A disease-aware dual-task deep learning framework for robust LAI estimation using UAV multispectral and ground hyperspectral data

2026 · Shuaibing Liu, Xiuliang Jin, et al. · Artificial Intelligence in Agriculture · 1

HiEGP: An environment-informed genomic prediction framework that facilitates soybean genebank germplasm evaluation and climate-smart breeding

2026 · Yingpu Che, Huihui Li, et al. · Molecular Plant

Satellite-Based Hydrothermal Variables Are Superior to Traditional Climate Data for Predicting Maize Yield

2024 · Rui-Qing Li, Pei Leng, et al. · IEEE Geoscience and Remote Sensing Letters

Works count: 8

Citation count: 275

H-index: 5

I10-index: 4