World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
6791
World Ranking
8870
National Ranking
271

Overview

Yuefeng Li is affiliated with the Queensland University of Technology in Australia. Their research output spans primarily within the field of computer science, focusing notably on artificial intelligence. This work is reflected through a substantial number of publications, with a particular concentration on advanced computational techniques and complex network analysis.

The scientist's research portfolio includes 135 publications in computer science, with subfields covering artificial intelligence, statistical and nonlinear physics, information systems, computer vision and pattern recognition, as well as radiology, nuclear medicine, and imaging.

Key topics addressed in Yuefeng Li's work include:

  • Complex Network Analysis Techniques
  • Sentiment Analysis and Opinion Mining
  • Advanced Graph Neural Networks
  • Advanced Text Analysis Techniques
  • Topic Modeling
  • Text and Document Classification Technologies
  • Rough Sets and Fuzzy Logic

Recent research papers authored or coauthored by Yuefeng Li provide insight into their current focus areas. Significant publications include:

  • "Autoencoders and their applications in machine learning: a survey," 2024, published in Artificial Intelligence Review
  • "Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding," 2021, in Computers in Biology and Medicine
  • "Deep learning and machine learning in psychiatry: a survey of current progress in depression detection, diagnosis and treatment," 2023, in Brain Informatics
  • "A new link prediction in multiplex networks using topologically biased random walks," 2021, in Chaos Solitons & Fractals
  • "Graph Regularized Nonnegative Matrix Factorization for Community Detection in Attributed Networks," 2022, in IEEE Transactions on Network Science and Engineering

Their frequent publication venues demonstrate contributions across diverse but specialized outlets in computing and artificial intelligence. These include:

  • SSRN Electronic Journal
  • Expert Systems with Applications
  • Artificial Intelligence Review
  • Knowledge-Based Systems
  • IEEE Access

Yuefeng Li collaborates regularly with a range of coauthors, indicating active participation in interdisciplinary and multi-author research projects. Notable frequent coauthors are:

  • Jinglan Zhang
  • Kamal Berahmand
  • Yue Xu
  • Xiaohui Tao
  • Raj Gururajan

The combined expertise and collaborative efforts contribute to advancements in methodologies such as graph neural networks, machine learning applications in healthcare, and community detection in complex networks. The research spans both theoretical and applied aspects of artificial intelligence within computer science, addressing current challenges in data analysis and network modeling.

Best Publications

  • Effective Pattern Discovery for Text Mining

    Ning Zhong;Yuefeng Li;Sheng-Tang Wu

  • Text mining and probabilistic language modeling for online review spam detection

    Raymond Y. K. Lau;S. Y. Liao;Ron Chi-Wai Kwok;Kaiquan Xu

  • The state-of-the-art in personalized recommender systems for social networking

    Xujuan Zhou;Yue Xu;Yuefeng Li;Audun Josang

  • Mining ontology for automatically acquiring Web user information needs

    Yuefeng Li;Ning Zhong

  • Toward a Fuzzy Domain Ontology Extraction Method for Adaptive e-Learning

    R.Y.K. Lau;Dawei Song;Yuefeng Li;T.C.H. Cheung

  • A Personalized Ontology Model for Web Information Gathering

    Xiaohui Tao;Yuefeng Li;Ning Zhong

  • Deploying Approaches for Pattern Refinement in Text Mining

    Sheng-tang Wu;Yuefeng Li;Yue Xu

  • Automatic Pattern-Taxonomy Extraction for Web Mining

    Sheng-Tang Wu;Yuefeng Li;Yue Xu;Binh Pham

  • Granule Based Intertransaction Association Rule Mining

    Wanzhong Yang;Yuefeng Li;Yue Xu

  • An information filtering model on the Web and its application in JobAgent

    Y. Li;C. Zhang;J. R. Swan

  • Web mining model and its applications for information gathering

    Yuefeng Li;Ning Zhong

  • Connecting users and items with weighted tags for personalized item recommendations

    Huizhi Liang;Yue Xu;Yuefeng Li;Richi Nayak

  • Mining positive and negative patterns for relevance feature discovery

    Yuefeng Li;Abdulmohsen Algarni;Ning Zhong

  • Relevance Feature Discovery for Text Mining

    Yuefeng Li;Abdulmohsen Algarni;Mubarak Albathan;Yan Shen

  • Spectral clustering on protein-protein interaction networks via constructing affinity matrix using attributed graph embedding.

    Kamal Berahmand;Elahe Nasiri;Rojiar Pir mohammadiani;Yuefeng Li

  • A new link prediction in multiplex networks using topologically biased random walks

    Elahe Nasiri;Kamal Berahmand;Yuefeng Li

  • Enhancing Binary Classification by Modeling Uncertain Boundary in Three-Way Decisions

    Yuefeng Li;Libiao Zhang;Yue Xu;Yiyu Yao

  • Pattern-based Topics for Document Modelling in Information Filtering

    Yang Gao;Yue Xu;Yuefeng Li

  • Ontology Mining for Personalized Web Information Gathering

    Xiaohui Tao;Yuefeng Li;Ning Zhong;Richi Nayak

  • Toward a Language Modeling Approach for Consumer Review Spam Detection

    C.L. Lai;K.Q. Xu;Raymond Y.K. Lau;Y. Li

  • Relevance feature discovery for text mining

    Yuefeng Li;Abdulmohsen Algarni;Mubarak Albthan;Yan Shen

Frequent Co-Authors

Raymond Y. K. Lau
Raymond Y. K. Lau City University of Hong Kong
Ning Zhong
Ning Zhong Maebashi Institute of Technology
Yang Gao
Yang Gao Google (United Kingdom)
Peter Bruza
Peter Bruza Queensland University of Technology
Audun Jøsang
Audun Jøsang University of Oslo
Yiyu Yao
Yiyu Yao University of Regina
Chengqi Zhang
Chengqi Zhang Hong Kong Polytechnic University
Shusaku Tsumoto
Shusaku Tsumoto Shimane University
Dawei Song
Dawei Song The Open University
Lech Polkowski
Lech Polkowski Polish-Japanese Academy of Information Technology

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