Yan Liu

Orcid: 0000-0002-1386-812X

Affiliations:
  • Dalian University, Dalian, China


According to our database1, Yan Liu authored at least 26 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2025
BG<sup>2</sup>VN: benchmark graph generator for vital node recognition.
Frontiers Comput. Sci., September, 2025

Clusterability test for categorical data.
Knowl. Inf. Syst., May, 2025

Clustering Categorical Data via Multiple Hypothesis Testing.
ACM Trans. Knowl. Discov. Data, 2025

Community structure testing by counting frequent common neighbor sets.
Inf. Sci., 2025

2024
Node Centrality Inference via Hypothesis Testing.
Stat. Anal. Data Min., October, 2024

Central node identification via weighted kernel density estimation.
Data Min. Knowl. Discov., May, 2024

Postoperative delirium prediction after cardiac surgery using machine learning models.
Comput. Biol. Medicine, February, 2024

Essential protein discovery on weighted PPI networks via statistical information fusion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Integrating topology and biological information to predict essential proteins via Shannon entropy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Predicting active enhancers with DNA methylation and histone modification.
BMC Bioinform., December, 2023

The statistical nature of h-index of a network node and its extensions.
J. Informetrics, August, 2023

Mining Statistically Significant Communities From Weighted Networks.
IEEE Trans. Knowl. Data Eng., June, 2023

On the Statistical Significance of a Community Structure.
IEEE Trans. Knowl. Data Eng., March, 2023

Decision Tree for Sequences.
IEEE Trans. Knowl. Data Eng., 2023

A testing-based approach to assess the clusterability of categorical data.
CoRR, 2023

Personalized Interpretable Classification.
CoRR, 2023

2022
Detecting Statistically Significant Communities.
IEEE Trans. Knowl. Data Eng., 2022

Significance-Based Essential Protein Discovery.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Significance-Based Categorical Data Clustering.
CoRR, 2022

The statistical nature of h-index of a network node.
CoRR, 2022

Using a machine learning-based risk prediction model to analyze the coronary artery calcification score and predict coronary heart disease and risk assessment.
Comput. Biol. Medicine, 2022

2021
Essential Protein Recognition via Community Significance.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A graph-traversal approach to identify influential nodes in a network.
Patterns, 2021

Instance-Based Classification Through Hypothesis Testing.
IEEE Access, 2021

2020
Computing exact P-values for community detection.
Data Min. Knowl. Discov., 2020

2019
Correlation-Based Community Detection.
CoRR, 2019


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