Zengyou He (何增有)

About Zengyou He (何增有)

Zengyou He (何增有), With an exceptional h-index of 33 and a recent h-index of 22 (since 2020), a distinguished researcher at Dalian University of Technology, specializes in the field of Bioinformatics, Computational Biology, Mass Spectrometry, Proteomics, Data Mining.

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

Random subsequence forests

A randomized algorithm for clustering discrete sequences

Central node identification via weighted kernel density estimation

Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification

Random forest clustering for discrete sequences

Interpretable Sequence Clustering

The statistical nature of h-index of a network node and its extensions

A testing-based approach to assess the clusterability of categorical data

Zengyou He (何增有) Information

University

Position

Professor School of Software

Citations(all)

6179

Citations(since 2020)

2381

Cited By

4799

hIndex(all)

33

hIndex(since 2020)

22

i10Index(all)

59

i10Index(since 2020)

41

Email

University Profile Page

Google Scholar

Zengyou He (何增有) Skills & Research Interests

Bioinformatics

Computational Biology

Mass Spectrometry

Proteomics

Data Mining

Top articles of Zengyou He (何增有)

Random subsequence forests

Information Sciences

2024/5/1

A randomized algorithm for clustering discrete sequences

Pattern Recognition

2024/2/29

Central node identification via weighted kernel density estimation

Data Mining and Knowledge Discovery

2024/1/31

Hamming Encoder: Mining Discriminative k-mers for Discrete Sequence Classification

arXiv preprint arXiv:2310.10321

2023/10/16

Random forest clustering for discrete sequences

Pattern Recognition Letters

2023/10/1

Interpretable Sequence Clustering

arXiv preprint arXiv:2309.01140

2023/9/3

The statistical nature of h-index of a network node and its extensions

Journal of Informetrics

2023/8/1

A testing-based approach to assess the clusterability of categorical data

arXiv preprint arXiv:2307.07346

2023/7/14

Personalized Interpretable Classification

arXiv preprint arXiv:2302.02528

2023/2/6

Significance-Based Categorical Data Clustering

arXiv preprint arXiv:2211.03956

2022/11/8

Mining statistically significant communities from weighted networks

IEEE Transactions on Knowledge and Data Engineering

2022/5/23

On the statistical significance of communities from weighted graphs

Scientific Reports

2021/10/13

A graph-traversal approach to identify influential nodes in a network

Patterns

2021/9/10

Essential protein recognition via community significance

IEEE/ACM Transactions on Computational Biology and Bioinformatics

2021/8/4

Decision tree for sequences

IEEE transactions on Knowledge and Data Engineering

2021/4/22

Instance-based classification through hypothesis testing

IEEE Access

2021/1/22

On the Statistical Significance of a Community Structure

IEEE Transactions on Knowledge and Data Engineering

2021/11/8

Reference-Based Sequence Classification

IEEE Access

2020/12/7

Detecting statistically significant communities

IEEE Transactions on Knowledge and Data Engineering

2020/8/11

Significance-based essential protein discovery

IEEE/ACM Transactions on Computational Biology and Bioinformatics

2020/6/23

See List of Professors in Zengyou He (何增有) University(Dalian University of Technology)

Co-Authors

academic-engine