Min Zeng

Min Zeng

Central South University

H-index: 18

Asia-China

About Min Zeng

Min Zeng, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Central South University, specializes in the field of Bioinformatics, Machine Learning, Deep Learning.

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

SGCL-LncLoc: an interpretable deep learning model for improving lncRNA subcellular localization prediction with supervised graph contrastive learning

A comprehensive computational benchmark for evaluating deep learning-based protein function prediction approaches

Automatic ICD-10-CM coding via Lambda-Scaled attention based deep learning model

Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancer

DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning

Protein function prediction using graph neural network with multi-type biological knowledge

ViPal: a framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences

DILM-ICD: A Deep Iterative Learning Model for Automatic ICD Coding

Min Zeng Information

University

Position

School of Computer Science and Engineering

Citations(all)

1410

Citations(since 2020)

1390

Cited By

340

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

24

i10Index(since 2020)

24

Email

University Profile Page

Central South University

Google Scholar

View Google Scholar Profile

Min Zeng Skills & Research Interests

Bioinformatics

Machine Learning

Deep Learning

Top articles of Min Zeng

Title

Journal

Author(s)

Publication Date

SGCL-LncLoc: an interpretable deep learning model for improving lncRNA subcellular localization prediction with supervised graph contrastive learning

Big Data Mining and Analytics

Min Li

Baoying Zhao

Yiming Li

Pingjian Ding

Rui Yin

...

2024/3/6

A comprehensive computational benchmark for evaluating deep learning-based protein function prediction approaches

Wenkang Wang

Yunyan Shuai

Qiurong Yang

Fuhao Zhang

Min Zeng

...

2024/3/1

Automatic ICD-10-CM coding via Lambda-Scaled attention based deep learning model

Methods

Sajida Raz Bhutto

Min Zeng

Kunying Niu

Sirajuddin Khoso

Muhammad Umar

...

2024/2/1

Gra-CRC-miRTar: The pre-trained nucleotide-to-graph neural networks to identify potential miRNA targets in colorectal cancer

bioRxiv

Rui Yin

Hongru Zhao

Lu Li

Qiang Yang

Min Zeng

...

2024

DeepCellEss: cell line-specific essential protein prediction with attention-based interpretable deep learning

Bioinformatics

Yiming Li

Min Zeng

Fuhao Zhang

Fang-Xiang Wu

Min Li

2023/1/1

Protein function prediction using graph neural network with multi-type biological knowledge

Yuyan Shuai

Wenkang Wang

Yiming Li

Min Zeng

Min Li

2023/12/5

ViPal: a framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences

Journal of biomedical informatics

Rui Yin

Zihan Luo

Pei Zhuang

Min Zeng

Min Li

...

2023/6/1

DILM-ICD: A Deep Iterative Learning Model for Automatic ICD Coding

Weiyan Qiu

Yifan Wu

Yiming Li

Kunying Niu

Min Zeng

...

2023/12/5

A review of enzyme design in catalytic stability by artificial intelligence

Yongfan Ming

Wenkang Wang

Rui Yin

Min Zeng

Li Tang

...

2023/5

Inferring disease-associated circrnas by multi-source aggregation based on heterogeneous graph neural network

Briefings in Bioinformatics

Chengqian Lu

Lishen Zhang

Min Zeng

Wei Lan

Guihua Duan

...

2023/1

LncLocFormer: a Transformer-based deep learning model for multi-label lncRNA subcellular localization prediction by using localization-specific attention mechanism

Bioinformatics

Min Zeng

Yifan Wu

Yiming Li

Rui Yin

Chengqian Lu

...

2023/12/1

GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation

Briefings in Bioinformatics

Min Li

Baoying Zhao

Rui Yin

Chengqian Lu

Fei Guo

...

2023/1

Computational methods to analyze RNA data for human diseases

Frontiers in Genetics

Pingjian Ding

Min Zeng

Rui Yin

2023/8/22

CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features

Briefings in Bioinformatics

Lishen Zhang*

Chengqian Lu*

Min Zeng

Yaohang Li

Jianxin Wang

2022/12/2

Singularformer: learning to decompose self-attention to linearize the complexity of transformer

Yifan Wu

Shichao Kan

Min Zeng

Min Li

2023/8/19

DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding

Briefings in Bioinformatics

Min Zeng

Yifan Wu

Chengqian Lu

Fuhao Zhang

Fang-Xiang Wu

...

2022/1

A pseudo label-wise attention network for automatic ICD coding

IEEE Journal of Biomedical and Health Informatics

Yifan Wu

Min Zeng

Ying Yu

Yaohang Li

Min Li

2022/7/22

Identifying disease-associated circRNAs based on edge-weighted graph attention and heterogeneous graph neural network

bioRxiv

Chengqian Lu

Lishen Zhang

Min Zeng

Wei Lan

Jianxin Wang

2022/5/5

LDAGSO: Predicting IncRNA-Disease Associations from Graph Sequences and Disease Ontology via Deep Learning techniques

Norah Saeed Awn

Yiming Li

Baoying Zhao

Min Zeng

Min Li

2022/12/6

BridgeDPI: a novel graph neural network for predicting drug–protein interactions

Bioinformatics

Yifan Wu

Min Gao

Min Zeng

Feiyang Chen

Min Li

...

2022/5/1

See List of Professors in Min Zeng University(Central South University)

Co-Authors

H-index: 68
Jianxin Wang

Jianxin Wang

Central South University

H-index: 61
FangXiang WU

FangXiang WU

University of Saskatchewan

H-index: 56
Min Li

Min Li

Central South University

H-index: 37
Yaohang Li

Yaohang Li

Old Dominion University

H-index: 34
Fei Guo

Fei Guo

Tianjin University

H-index: 12
Rui Yin

Rui Yin

Harvard University

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