World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6626
World Ranking
9748
National Ranking
386

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

  • Modeling and Predicting the Helpfulness of Online Reviews

    Yang Liu;Xiangji Huang;Aijun An;Xiaohui Yu

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

    Xiaohui Yu;Yang Liu;Xiangji Huang;Aijun An

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

    Bill Andreopoulos;Aijun An;Xiaogang Wang;Michael Schroeder

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

    Aijun An;Ning Shan;Christine Chan;Nick Cercone

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

    Mehdi Kargar;Aijun An

  • Boosting prediction accuracy on imbalanced datasets with SVM ensembles

    Yang Liu;Aijun An;Xiangji Huang

  • Keyword search in graphs: finding r-cliques

    Mehdi Kargar;Aijun An

  • Combining integrated sampling with SVM ensembles for learning from imbalanced datasets

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

  • Unsupervised Emotion Detection from Text Using Semantic and Syntactic Relations

    Ameeta Agrawal;Aijun An

  • Efficient bi-objective team formation in social networks

    Mehdi Kargar;Aijun An;Morteza Zihayat

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

    Dusan Stevanovic;Natalija Vlajic;Aijun An

  • dynnode2vec: Scalable Dynamic Network Embedding

    Sedigheh Mahdavi;Shima Khoshraftar;Aijun An

  • Dynamic web log session identification with statistical language models

    Xiangji Huang;Fuchun Peng;Aijun An;Dale Schuurmans

  • Mining top-k high utility patterns over data streams

    Morteza Zihayat;Aijun An

  • RULE QUALITY MEASURES FOR RULE INDUCTION SYSTEMS: DESCRIPTION AND EVALUATION

    Aijun An;Nick Cercone

  • Feature evaluation for web crawler detection with data mining techniques

    Dusan Stevanovic;Aijun An;Natalija Vlajic

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

    N. Cercone;Aijun An;C. Chan

  • A Survey of Self-Sovereign Identity Ecosystem

    Reza Soltani;Uyen Trang Nguyen;Aijun An

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

    Jennifer McArthur;Nima Shahbazi;Ricky Fok;Christopher Raghubar

  • Finding Affordable and Collaborative Teams from a Network of Experts.

    Aijun An;Mehdi Kargar;Morteza Zihayat

  • Applying knowledge discovery to predict water-supply consumption

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

Frequent Co-Authors

Nick Cercone
Nick Cercone York University
Christine W. Chan
Christine W. Chan University of Regina
Lukasz Golab
Lukasz Golab University of Waterloo
Wojciech Ziarko
Wojciech Ziarko University of Regina
Vincent S. Tseng
Vincent S. Tseng National Yang Ming Chiao Tung University
Dale Schuurmans
Dale Schuurmans University of Alberta
Hui Jiang
Hui Jiang York University
Nick Koudas
Nick Koudas University of Toronto
Michalis Faloutsos
Michalis Faloutsos University of California, Riverside

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