Min Li

Min Li

Central South University

H-index: 56

Asia-China

About Min Li

Min Li, With an exceptional h-index of 56 and a recent h-index of 49 (since 2020), a distinguished researcher at Central South University, specializes in the field of Bioinformatics, Systems Biology.

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

CAKE: a flexible self-supervised framework for enhancing cell visualization, clustering and rare cell identification

TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning

scMAE: a masked autoencoder for single-cell RNA-seq clustering

Pathway Activation Analysis for Pan-Cancer Personalized Characterization Based on Riemannian Manifold

stAA: adversarial graph autoencoder for spatial clustering task of spatially resolved transcriptomics

scMLC: an accurate and robust multiplex community detection method for single-cell multi-omics data

Drug repositioning with adaptive graph convolutional networks

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

Min Li Information

University

Position

School of Computer Science and Engineering

Citations(all)

12123

Citations(since 2020)

8882

Cited By

6609

hIndex(all)

56

hIndex(since 2020)

49

i10Index(all)

171

i10Index(since 2020)

152

Email

University Profile Page

Central South University

Google Scholar

View Google Scholar Profile

Min Li Skills & Research Interests

Bioinformatics

Systems Biology

Top articles of Min Li

Title

Journal

Author(s)

Publication Date

CAKE: a flexible self-supervised framework for enhancing cell visualization, clustering and rare cell identification

Briefings in Bioinformatics

Jin Liu

Weixing Zeng

Shichao Kan

Min Li

Ruiqing Zheng

2024/1/1

TripHLApan: predicting HLA molecules binding peptides based on triple coding matrix and transfer learning

Briefings in Bioinformatics

Meng Wang

Chuqi Lei

Jianxin Wang

Yaohang Li

Min Li

2024/5

scMAE: a masked autoencoder for single-cell RNA-seq clustering

Bioinformatics

Zhaoyu Fang

Ruiqing Zheng

Min Li

2024/1/1

Pathway Activation Analysis for Pan-Cancer Personalized Characterization Based on Riemannian Manifold

International Journal of Molecular Sciences

Xingyi Li

Jun Hao

Junming Li

Zhelin Zhao

Xuequn Shang

...

2024/4/17

stAA: adversarial graph autoencoder for spatial clustering task of spatially resolved transcriptomics

Briefings in Bioinformatics

Zhaoyu Fang

Teng Liu

Ruiqing Zheng

Mingzhu Yin

Min Li

2024/1/1

scMLC: an accurate and robust multiplex community detection method for single-cell multi-omics data

Briefings in Bioinformatics

Yuxuan Chen

Ruiqing Zheng

Jin Liu

Min Li

2024/3/1

Drug repositioning with adaptive graph convolutional networks

Bioinformatics

Xinliang Sun

Xiao Jia

Zhangli Lu

Jing Tang

Min Li

2024/1/1

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

TEPCAM: Prediction of T‐cell receptor–epitope binding specificity via interpretable deep learning

Protein Science

Junwei Chen

Bowen Zhao

Shenggeng Lin

Heqi Sun

Xueying Mao

...

2024/1

MMCT-Loop: a mix model-based pipeline for calling targeted 3D chromatin loops

Nucleic Acids Research

Li Tang

Jiaqi Liao

Matthew C Hill

Jiaxin Hu

Yichao Zhao

...

2024/1/28

CACO: A core-attachment method with cross-species functional ortholog information to detect human protein complexes

IEEE Journal of Biomedical and Health Informatics

Wenkang Wang

Xiangmao Meng

Ju Xiang

Yunyan Shuai

Hayat Dino Bedru

...

2023/7/3

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

DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms

arXiv preprint arXiv:2312.15252

Zhangli Lu

Chuqi Lei

Kaili Wang

Libo Qin

Jing Tang

...

2023/12/23

Inferring single-cell gene regulatory network by non-redundant mutual information

Briefings in Bioinformatics

Yanping Zeng

Yongxin He

Ruiqing Zheng

Min Li

2023/9

Machine learning methods for predicting protein-nucleic acids interactions

Min Li

Fuhao Zhang

Lukasz Kurgan

2023

Collaborative effects of 2019-nCoV-Spike mutants on viral infectivity

Computational and structural biotechnology journal

Senbiao Fang

Chuqi Lei

Meng Li

Yongfan Ming

Liren Liu

...

2023/1/1

A review of enzyme design in catalytic stability by artificial intelligence

Yongfan Ming

Wenkang Wang

Rui Yin

Min Zeng

Li Tang

...

2023/5

DKADE: a novel framework based on deep learning and knowledge graph for identifying adverse drug events and related medications

Briefings in Bioinformatics

Ze-Ying Feng

Xue-Hong Wu

Jun-Long Ma

Min Li

Ge-Fei He

...

2023/7

StackCPA: A stacking model for compound-protein binding affinity prediction based on pocket multi-scale features

Computers in Biology and Medicine

Chuqi Lei

Zhangli Lu

Meng Wang

Min Li

2023/9/1

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

Weiyan Qiu

Yifan Wu

Yiming Li

Kunying Niu

Min Zeng

...

2023/12/5

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

Co-Authors

H-index: 120
Patrick T. Ellinor, MD, PhD

Patrick T. Ellinor, MD, PhD

Harvard University

H-index: 68
Jianxin Wang

Jianxin Wang

Central South University

H-index: 61
FangXiang WU

FangXiang WU

University of Saskatchewan

H-index: 37
Yaohang Li

Yaohang Li

Old Dominion University

H-index: 20
Ju Xiang

Ju Xiang

Central South University

H-index: 19
Matthew C Hill

Matthew C Hill

Harvard University

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