2026 Aijun An: 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	39	9747	9466	385	367	184	6626

Aijun An publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Aijun An sits on this spectrum.

32 publications 991+

This scientist: 184 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Aijun An D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Aijun An sits on this spectrum.

30 D-Index 131+

This scientist: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Aijun An is affiliated with York University in Canada and has contributed extensively to the field of computer science, with a focus on artificial intelligence, computer vision and pattern recognition, information systems, statistical and nonlinear physics, and computer networks and communications. Their research outputs cover a range of topics including topic modeling, anomaly detection techniques and applications, advanced graph neural networks, complex network analysis techniques, advanced text analysis techniques, sentiment analysis and opinion mining, and parallel computing and optimization techniques.

Among recent publications, the following papers highlight their research scope and interests:

"A Survey on Graph Representation Learning Methods," 2023, ACM Transactions on Intelligent Systems and Technology
"A Survey of Self-Sovereign Identity Ecosystem," 2021, Security and Communication Networks
"Extending Isolation Forest for Anomaly Detection in Big Data via K-Means," 2021, ACM Transactions on Cyber-Physical Systems
"Associations of sleep problems with health-risk behaviors and psychological well-being among Canadian adults," 2020, Sleep Health
"A Survey on Graph Representation Learning Methods," 2022, arXiv (Cornell University)

The scientist has frequently published in the following venues:

arXiv (Cornell University)
Computational Intelligence
ACM Transactions on Intelligent Systems and Technology
Security and Communication Networks
ACM Transactions on Cyber-Physical Systems

Collaboration is a notable aspect of their work, with frequent co-authors including:

Jimmy Xiangji Huang
Manos Papagelis
Shima Khoshraftar
Heidar Davoudi
Ghazaleh Babanejaddehaki

The major fields of study for Aijun An encompass computer science, with a particular emphasis on the subfields of artificial intelligence, computer vision and pattern recognition, and information systems.

The scientist's research topics span several advanced areas such as advanced graph neural networks, which relates to their contributions on graph representation learning. Anomaly detection techniques and applications also represent a significant part of their work, connecting to their publications involving isolation forest algorithms and big data.

Best Publications

ARSA: a sentiment-aware model for predicting sales performance using blogs

Yang Liu;Xiangji Huang;Aijun An;Xiaohui Yu

411
Citations
Modeling and Predicting the Helpfulness of Online Reviews

Yang Liu;Xiangji Huang;Aijun An;Xiaohui Yu

362
Citations
Mining Online Reviews for Predicting Sales Performance: A Case Study in the Movie Domain

Xiaohui Yu;Yang Liu;Xiangji Huang;Aijun An

335
Citations
A roadmap of clustering algorithms: finding a match for a biomedical application

Bill Andreopoulos;Aijun An;Xiaogang Wang;Michael Schroeder

306
Citations
Discovering rules for water demand prediction: An enhanced rough-set approach☆

Aijun An;Ning Shan;Christine Chan;Nick Cercone

287
Citations
Discovering top-k teams of experts with/without a leader in social networks

Mehdi Kargar;Aijun An

254
Citations
Boosting prediction accuracy on imbalanced datasets with SVM ensembles

Yang Liu;Aijun An;Xiangji Huang

216
Citations
Keyword search in graphs: finding r-cliques

Mehdi Kargar;Aijun An

194
Citations
Combining integrated sampling with SVM ensembles for learning from imbalanced datasets

Yang Liu;Xiaohui Yu;Jimmy Xiangji Huang;Aijun An

189
Citations
Unsupervised Emotion Detection from Text Using Semantic and Syntactic Relations

Ameeta Agrawal;Aijun An

180
Citations
Efficient bi-objective team formation in social networks

Mehdi Kargar;Aijun An;Morteza Zihayat

144
Citations
Detection of malicious and non-malicious website visitors using unsupervised neural network learning

Dusan Stevanovic;Natalija Vlajic;Aijun An

137
Citations
dynnode2vec: Scalable Dynamic Network Embedding

Sedigheh Mahdavi;Shima Khoshraftar;Aijun An

118
Citations
Dynamic web log session identification with statistical language models

Xiangji Huang;Fuchun Peng;Aijun An;Dale Schuurmans

118
Citations
Mining top-k high utility patterns over data streams

Morteza Zihayat;Aijun An

114
Citations
RULE QUALITY MEASURES FOR RULE INDUCTION SYSTEMS: DESCRIPTION AND EVALUATION

Aijun An;Nick Cercone

112
Citations
Feature evaluation for web crawler detection with data mining techniques

Dusan Stevanovic;Aijun An;Natalija Vlajic

108
Citations
Rule-induction and case-based reasoning: hybrid architectures appear advantageous

N. Cercone;Aijun An;C. Chan

104
Citations
A Survey of Self-Sovereign Identity Ecosystem

Reza Soltani;Uyen Trang Nguyen;Aijun An

103
Citations
Machine learning and BIM visualization for maintenance issue classification and enhanced data collection

Jennifer McArthur;Nima Shahbazi;Ricky Fok;Christopher Raghubar

97
Citations
Finding Affordable and Collaborative Teams from a Network of Experts.

Aijun An;Mehdi Kargar;Morteza Zihayat

95
Citations
Applying knowledge discovery to predict water-supply consumption

A. An;C. Chan;N. Shan;N. Cercone

80
Citations

Frequent Co-Authors

Nick Cercone York University

Christine W. Chan University of Regina

Lukasz Golab University of Waterloo

Paitoon Tontiwachwuthikul University of Regina

Wojciech Ziarko University of Regina

Vincent S. Tseng National Yang Ming Chiao Tung University

Dale Schuurmans University of Alberta

Hui Jiang York University

Michael Schroeder TU Dresden

Michalis Faloutsos University of California, Riverside

External Links

Personal website of Aijun An Google Scholar page

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