Author

Yinglun Zhan

Observed name: Zhan, Yinglun

Institution: Zoetis (United States)

Observed institutions: University of Nebraska–Lincoln, Zoetis (United States)

ORCID: 0000-0001-8843-9437

Observed ORCID: 0000-0001-8843-9437

OpenAlex ID: A5046852491

The application of machine-learning and Raman spectroscopy for the rapid detection of edible oils type and adulteration

2021 · Hefei Zhao, Yinglun Zhan, et al. · Food Chemistry · 144

Bagging Improves the Performance of Deep Learning-Based Semantic Segmentation with Limited Labeled Images: A Case Study of Crop Segmentation for High-Throughput Plant Phenotyping

2024 · Yinglun Zhan, Yuzhen Zhou, et al. · Sensors · 11

Rapid online plant leaf area change detection with high-throughput plant image data

2022 · Yinglun Zhan, Ruizhi Zhang, et al. · Journal of Applied Statistics · 2

Machine learning-driven Raman spectroscopy for rapidly detecting type, adulteration, and oxidation of edible oils

2020 · Hefei Zhao, Yinglun Zhan, et al. · INFORM International News on Fats Oils and Related Materials · 1

Oclacitinib modulates IL-2 driven T-cell activation through CD25 regulation: A comparative analysis with prednisolone

2026 · Erin McDonald, Xin Tong, et al. · Veterinary Immunology and Immunopathology

Machine-Learning-Driven Raman Spectroscopy for Rapidly Detecting Type and Adulteration of Edible Oils

2020 · Hefei Zhao, Yinglun Zhan, et al. · AOCS Annual Meeting & Expo

Works count: 7

Citation count: 158

H-index: 2

I10-index: 2