World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
7185
World Ranking
8027
National Ranking
251

Overview

Yan Wang is affiliated with Macquarie University in Australia. Their research spans multiple areas within computer science, with a considerable focus on artificial intelligence, computer vision and pattern recognition, and information systems.

The scientist's work explores various subfields, including:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Yan Wang's main fields of study reflect extensive engagement with computer science topics. Their research interests cover:

  • Topic Modeling
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Graph Neural Networks
  • Recommender Systems and Techniques
  • Complex Network Analysis Techniques
  • Natural Language Processing Techniques

They have contributed frequently to well-known scholarly outlets. The venues with the highest number of their publications include:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Knowledge and Data Engineering
  • Information Sciences

Yan Wang has coauthored multiple research papers with various collaborators. Notable frequent coauthors include:

  • Shoujin Wang
  • Guanfeng Liu
  • Mehmet A. Orgun
  • Quan Z. Sheng
  • Chaochao Chen

Selected recent papers by Yan Wang feature a range of topics and publication venues:

  • The Medical Segmentation Decathlon, 2022, Nature Communications
  • A Survey on Session-based Recommender Systems, 2021, ACM Computing Surveys
  • HiFuse: Hierarchical multi-scale feature fusion network for medical image classification, 2023, Biomedical Signal Processing and Control
  • MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • When AWGN-Based Denoiser Meets Real Noises, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

In addition to journal and conference papers, Yan Wang has contributed to book publications. One such title is "Veri Yönetiminde Araştırmacılarla Etkileşim: Örnek Çalışmalar Kitabı," published by Hacettepe University in 2020.

Best Publications

  • Sequential Recommender Systems: Challenges, Progress and Prospects

    Shoujin Wang;Liang Hu;Liang Hu;Yan Wang;Longbing Cao

  • A Survey on Session-based Recommender Systems

    Shoujin Wang;Longbing Cao;Yan Wang;Quan Z. Sheng

  • A service computing manifesto: the next 10 years

    Athman Bouguettaya;Munindar Singh;Michael Huhns;Quan Z. Sheng

  • A Proof-of-Trust Consensus Protocol for Enhancing Accountability in Crowdsourcing Services

    Jun Zou;Bin Ye;Lie Qu;Yan Wang

  • Cross-Domain Recommendation: Challenges, Progress, and Prospects

    Feng Zhu;Yan Wang;Chaochao Chen;Jun Zhou

  • DTCDR: A Framework for Dual-Target Cross-Domain Recommendation

    Feng Zhu;Chaochao Chen;Yan Wang;Guanfeng Liu

  • Finding the Optimal Social Trust Path for the Selection of Trustworthy Service Providers in Complex Social Networks

    Guanfeng Liu;Yan Wang;Mehmet A. Orgun;Ee-Peng Lim

  • Graph learning based recommender systems: a review

    Shoujin Wang;Liang Hu;Yan Wang;Xiangnan He

  • Cloud Service Selection Based on the Aggregation of User Feedback and Quantitative Performance Assessment

    Lie Qu;Yan Wang;Mehmet A. Orgun

  • Reputation-Oriented Trustworthy Computing in E-Commerce Environments

    Yan Wang;Kwei-Jay Lin

  • A graphical and attentional framework for dual-target cross-domain recommendation

    Feng Zhu;Yan Wang;Chaochao Chen;Guanfeng Liu

  • Enhancing grid security with trust management

    C. Lin;V. Varadharajan;Y. Wang;V. Pruthi

  • Optimal social trust path selection in complex social networks

    Guanfeng Liu;Yan Wang;Mehmet A. Orgun

  • Modeling multi-purpose sessions for next-item recommendations via mixture-channel purpose routing networks

    Shoujin Wang;Liang Hu;Liang Hu;Yan Wang;Quan Z. Sheng

  • A Deep Framework for Cross-Domain and Cross-System Recommendations.

    Feng Zhu;Yan Wang;Chaochao Chen;Guanfeng Liu

  • Context- ware collaborative topic regression with social matrix factorization for recommender systems

    Chaochao Chen;Xiaolin Zheng;Yan Wang;Fuxing Hong

  • Trust transitivity in complex social networks

    Guanfeng Liu;Yan Wang;Mehmet A. Orgun

  • Efficient Query of Quality Correlation for Service Composition

    Yiwen Zhang;Guangming Cui;Shuiguang Deng;Feifei Chen

  • CommTrust: Computing Multi-Dimensional Trust by Mining E-Commerce Feedback Comments

    Xiuzhen Zhang;Lishan Cui;Yan Wang

  • A graph-based comprehensive reputation model

    Su-Rong Yan;Xiao-Lin Zheng;Yan Wang;William Wei Song

  • Social context-aware trust inference for trust enhancement in social network based recommendations on service providers

    Yan Wang;Lei Li;Guanfeng Liu

Frequent Co-Authors

Mehmet A. Orgun
Mehmet A. Orgun Macquarie University
Guanfeng Liu
Guanfeng Liu Macquarie University
Vijay Varadharajan
Vijay Varadharajan University of Newcastle Australia
Quan Z. Sheng
Quan Z. Sheng Macquarie University
Kian-Lee Tan
Kian-Lee Tan National University of Singapore
Yi Shen
Yi Shen Harbin Institute of Technology
Longbing Cao
Longbing Cao University of Technology Sydney
Duncan S. Wong
Duncan S. Wong City University of Hong Kong
Chaochao Chen
Chaochao Chen Zhejiang University
Ee-Peng Lim
Ee-Peng Lim Singapore Management University

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