Shiping Yang

About Shiping Yang

Shiping Yang, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at China Agricultural University, specializes in the field of Bioinformatics, Machine learning, Maize comparative genomics, Host-pathogen interaction.

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

POOE: predicting oomycete effectors based on a pre-trained large protein language model

AraPathogen2. 0: An Improved Prediction of Plant–Pathogen Protein–Protein Interactions Empowered by the Natural Language Processing Technique

Deep learning‐assisted prediction of protein–protein interactions in Arabidopsis thaliana

Deep learning-assisted prediction of protein–protein

Deep learning-powered prediction of human-virus protein-protein interactions

Transfer learning via multi-scale convolutional neural layers for human–virus protein–protein interaction prediction

Current status and future perspectives of computational studies on human–virus protein–protein interactions

HVIDB: a comprehensive database for human–virus protein–protein interactions

Shiping Yang Information

University

Position

___

Citations(all)

737

Citations(since 2020)

674

Cited By

273

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

17

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Shiping Yang Skills & Research Interests

Bioinformatics

Machine learning

Maize comparative genomics

Host-pathogen interaction

Top articles of Shiping Yang

POOE: predicting oomycete effectors based on a pre-trained large protein language model

Msystems

2024/1/23

AraPathogen2. 0: An Improved Prediction of Plant–Pathogen Protein–Protein Interactions Empowered by the Natural Language Processing Technique

Journal of Proteome Research

2023/12/9

Deep learning‐assisted prediction of protein–protein interactions in Arabidopsis thaliana

The Plant Journal

2023/5

Deep learning-assisted prediction of protein–protein

2023

Deep learning-powered prediction of human-virus protein-protein interactions

Frontiers in microbiology

2022/4/15

Shiping Yang
Shiping Yang

H-Index: 10

Stefan Wuchty
Stefan Wuchty

H-Index: 27

Transfer learning via multi-scale convolutional neural layers for human–virus protein–protein interaction prediction

Bioinformatics

2021/12/15

Shiping Yang
Shiping Yang

H-Index: 10

Stefan Wuchty
Stefan Wuchty

H-Index: 27

Current status and future perspectives of computational studies on human–virus protein–protein interactions

2021/9

Shiping Yang
Shiping Yang

H-Index: 10

HVIDB: a comprehensive database for human–virus protein–protein interactions

Briefings in bioinformatics

2021/3

GelFAP: Gene Functional Analysis Platform for Gastrodia elata

Frontiers in Plant Science

2020/10/22

Prediction of human-virus protein-protein interactions through a sequence embedding-based machine learning method

Computational and structural biotechnology journal

2020/1/1

Shiping Yang
Shiping Yang

H-Index: 10

Stefan Wuchty
Stefan Wuchty

H-Index: 27

Human gene functional network-informed prediction of HIV-1 host dependency factors

Msystems

2020/12/22

Mapping regulatory variants controlling gene expression in drought response and tolerance in maize

Genome biology

2020/12

Prediction and analysis of human‐herpes simplex virus type 1 protein‐protein interactions by integrating multiple methods

Quantitative Biology

2020/12

Shiping Yang
Shiping Yang

H-Index: 10

PlaPPISite: a comprehensive resource for plant protein-protein interaction sites

BMC plant biology

2020/12

See List of Professors in Shiping Yang University(China Agricultural University)

Co-Authors

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