2026 Jiuyong Li: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	48	6196	6017	195	194	328	8998

Overview

Jiuyong Li is affiliated with the University of South Australia in Australia. Their research spans multiple fields including Computer Science and Biochemistry, Genetics and Molecular Biology, with a focus on subfields such as Artificial Intelligence, Molecular Biology, Statistics and Probability, Cancer Research, and Safety Research.

The primary research topics addressed in their work include:

Bayesian Modeling and Causal Inference
Advanced Causal Inference Techniques
Statistical Methods and Inference
Explainable Artificial Intelligence (XAI)
Ethics and Social Impacts of AI
Gene expression and cancer classification
Bioinformatics and Genomic Networks

Jiuyong Li has coauthored extensively with several collaborators. The most frequent coauthors include:

Lin Liu
Thuc Duy Le
Jixue Liu
Debo Cheng
Ziqi Xu

Their recent papers reflect a focus on causality, fairness in learning analytics, and data-driven prediction. Notable recent publications are:

"Causality-based Feature Selection," 2020, ACM Computing Surveys
"A Unified View of Causal and Non-causal Feature Selection," 2021, ACM Transactions on Knowledge Discovery from Data
"How do the existing fairness metrics and unfairness mitigation algorithms contribute to ethical learning analytics?", 2022, British Journal of Educational Technology
"Treatment Effect Estimation with Disentangled Latent Factors," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
"Accurate data-driven prediction does not mean high reproducibility," 2020, Nature Machine Intelligence

The venues most frequently chosen for publication include:

arXiv (Cornell University)
bioRxiv (Cold Spring Harbor Laboratory)
Proceedings of the AAAI Conference on Artificial Intelligence
ACM Transactions on Knowledge Discovery from Data
IEEE Transactions on Neural Networks and Learning Systems

Best Publications

(α, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing

Raymond Chi-Wing Wong;Jiuyong Li;Ada Wai-Chee Fu;Ke Wang

598
Citations
Identifying miRNAs, targets and functions

Bing Liu;Jiuyong Li;Murray J. Cairns

591
Citations
CancerSubtypes: an R/Bioconductor package for molecular cancer subtype identification, validation and visualization.

Taosheng Xu;Thuc Duy Le;Lin Liu;Ning Su

243
Citations
Discover Dependencies from Data—A Review

Jixue Liu;Jiuyong Li;Chengfei Liu;Yongfeng Chen

191
Citations
Predicting academic performance by considering student heterogeneity

Sumyea Helal;Jiuyong Li;Lin Liu;Esmaeil Ebrahimie

189
Citations
Causality-based Feature Selection: Methods and Evaluations

Kui Yu;Xianjie Guo;Lin Liu;Jiuyong Li

186
Citations
Kernel Discriminant Learning for Ordinal Regression

Bing-Yu Sun;Jiuyong Li;Desheng Dash Wu;Xiao-Ming Zhang

172
Citations
A Fast PC Algorithm for High Dimensional Causal Discovery with Multi-Core PCs

Thuc Duy Le;Tao Hoang;Jiuyong Li;Lin Liu

160
Citations
An improvement of symbolic aggregate approximation distance measure for time series

Youqiang Sun;Youqiang Sun;Jiuyong Li;Jixue Liu;Bingyu Sun;Bingyu Sun

154
Citations
Achieving k -anonymity by clustering in attribute hierarchical structures

Jiuyong Li;Raymond Chi-Wing Wong;Ada Wai-Chee Fu;Jian Pei

151
Citations
Identifying functional miRNA–mRNA regulatory modules with correspondence latent dirichlet allocation

Bing Liu;Lin Liu;Anna Tsykin;Gregory J. Goodall

133
Citations
Privacy preserving serial data publishing by role composition

Yingyi Bu;Ada Wai Chee Fu;Raymond Chi Wing Wong;Lei Chen

127
Citations
Mining risk patterns in medical data

Jiuyong Li;Ada Wai-chee Fu;Hongxing He;Jie Chen

126
Citations
On optimal rule discovery

Jiuyong Li

121
Citations
Exploring complex miRNA-mRNA interactions with Bayesian networks by splitting-averaging strategy

Bing Liu;Jiuyong Li;Anna Tsykin;Lin Liu

111
Citations
Enhanced P-Sensitive K-Anonymity Models for Privacy Preserving Data Publishing

Xiaoxun Sun;Hua Wang;Jiuyong Li;Traian Marius Truta

108
Citations
DrugMiner: comparative analysis of machine learning algorithms for prediction of potential druggable proteins

Ali Akbar Jamali;Reza Ferdousi;Saeed Razzaghi;Jiuyong Li

105
Citations
Computational methods for identifying miRNA sponge interactions

Thuc Duy Le;Junpeng Zhang;Lin Liu;Jiuyong Li

105
Citations
Multi-Source Causal Feature Selection

Kui Yu;Lin Liu;Jiuyong Li;Wei Ding

102
Citations
Mining the optimal class association rule set

Jiuyong Li;Hong Shen;Rodney Topor

99
Citations
Inferring microRNA–mRNA causal regulatory relationships from expression data

Thuc Duy Le;Lin Liu;Anna Tsykin;Gregory J. Goodall

96
Citations
Feature Fusion Using Locally Linear Embedding for Classification

Bing-Yu Sun;Xiao-Ming Zhang;Jiuyong Li;Xue-Min Mao

96
Citations
AI 2010: Advances in Artificial Intelligence

Jiuyong Li

69
Citations

Frequent Co-Authors

Hua Wang Victoria University

Gregory J. Goodall University of Adelaide

Raymond Chi-Wing Wong Hong Kong University of Science and Technology

Ada Wai-Chee Fu Chinese University of Hong Kong

Hong Shen Sun Yat-sen University

Kim-Kwang Raymond Choo The University of Texas at San Antonio

Jian Pei Duke University

Bradley A. Malin Vanderbilt University Medical Center

Kun Zhang Carnegie Mellon University

Yanchun Zhang Victoria University

External Links

Personal website of Jiuyong Li Google Scholar page

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