Song Li

About Song Li

Song Li, With an exceptional h-index of 24 and a recent h-index of 21 (since 2020), a distinguished researcher at Virginia Polytechnic Institute and State University, specializes in the field of plant genomics, Plant systems biology, VT Translational Plant Sciences, Computational Biology.

His recent articles reflect a diverse array of research interests and contributions to the field:

A suberized exodermis is required for tomato drought tolerance

Postharvest Senescence Profiling in Broccoli Using Tandem Mass Tag-based Proteomics

Hyperspectral Imaging Analysis for the Early Detection of Tomato Bacterial Leaf Spot Disease

Explainable interactive projections of images

Gene Regulatory Network Modeling Using Single-Cell Multi-Omics in Plants

Crop Height Estimation with LiDAR Equipped Robots

Reference-Free Plant Disease Detection Using Machine Learning and Long-Read Metagenomic Sequencing

Cross-species single-cell annotation with orthologous marker gene groups

Song Li Information

University

Position

___

Citations(all)

3149

Citations(since 2020)

1852

Cited By

1960

hIndex(all)

24

hIndex(since 2020)

21

i10Index(all)

39

i10Index(since 2020)

37

Email

University Profile Page

Google Scholar

Song Li Skills & Research Interests

plant genomics

Plant systems biology

VT Translational Plant Sciences

Computational Biology

Top articles of Song Li

Postharvest Senescence Profiling in Broccoli Using Tandem Mass Tag-based Proteomics

Vegetable Research

2024

Hyperspectral Imaging Analysis for the Early Detection of Tomato Bacterial Leaf Spot Disease

2023/12/26

Explainable interactive projections of images

Machine Vision and Applications

2023/11

Gene Regulatory Network Modeling Using Single-Cell Multi-Omics in Plants

2023/9/9

Crop Height Estimation with LiDAR Equipped Robots

2023/8

Reference-Free Plant Disease Detection Using Machine Learning and Long-Read Metagenomic Sequencing

Applied and Environmental Microbiology

2023/6/28

Cross-species single-cell annotation with orthologous marker gene groups

2023/6/26

Machine learning analysis of hyperspectral images of damaged wheat kernels

Sensors

2023/3/28

Physical and chemical properties of edamame during bean development and application of spectroscopy-based machine learning methods to predict optimal harvest time

Food Chemistry

2022/1/30

Metagenomic sequencing for detection and identification of the boxwood blight pathogen Calonectria pseudonaviculata

Scientific reports

2022/1/26

Interactive Deep Learning for Exploratory Sorting of Plant Images by Visual Phenotypes

ESS Open Archive eprints

2022/1

Identification of senescence-associated genes in broccoli (Brassica oleracea) following harvest

Postharvest Biology and Technology

2022/1/1

‘VT Sweet’: A vegetable soybean cultivar for commercial edamame production in the mid‐Atlantic USA

Journal of Plant Registrations

2022/1

Reference free disease detection using machine learning and long read metagenomic sequencing

Computational Tools for Improved Detection, Identification, and Classification of Plant Pathogens Using Genomics and Metagenomics

2022/12/2

Interactive Deep Learning for Sorting Plant Images by Visual Phenotypes

Authorea Preprints

2022/11/30

Explainable interactive projections for image data

2022/10/3

Genome-Wide Association Analysis of Sucrose and Alanine Concentrations in Edamame Beans

Frontiers in Plant Science

2023/2/3

Investigating plant disease outbreaks with long-read metagenomics: sensitive detection and highly resolved phylogenetic reconstruction applied to Xylella fastidiosa

Microbial Genomics

2022/5/18

Exploring transposable element-based markers to identify allelic variations underlying agronomic traits in rice

Plant Communications

2022/5/9

See List of Professors in Song Li University(Virginia Polytechnic Institute and State University)