World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
69
Citations
22255
World Ranking
1956
National Ranking
59

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Quan Z. Sheng is affiliated with Macquarie University in Australia and has a strong research presence primarily in the field of Computer Science. Their work spans several important subfields, including Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

Their research covers diverse topics such as Topic Modeling, Privacy-Preserving Technologies in Data, Advanced Graph Neural Networks, IoT and Edge/Fog Computing, Recommender Systems and Techniques, Anomaly Detection Techniques and Applications, and Complex Network Analysis Techniques.

Quan Z. Sheng has contributed to multiple recent publications, including:

  • A Survey on Session-based Recommender Systems, 2021, ACM Computing Surveys
  • Adversarial Attacks on Deep-learning Models in Natural Language Processing, 2020, ACM Transactions on Intelligent Systems and Technology
  • Design architectures for energy harvesting in the Internet of Things, 2020, Renewable and Sustainable Energy Reviews
  • A review and categorization of techniques on device-free human activity recognition, 2020, Journal of Network and Computer Applications
  • Edge Computing and Sensor-Cloud: Overview, Solutions, and Directions, 2023, ACM Computing Surveys

Their frequent co-authors include Wei Emma Zhang, Adnan Mahmood, Lina Yao, Jian Yang, and Subhash Sagar.

Quan Z. Sheng has published extensively in venues such as:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • ACM Computing Surveys
  • IEEE Transactions on Knowledge and Data Engineering
  • IEEE Transactions on Services Computing

In addition to articles, they have authored books published by Springer's imprints and Frontiers Media. Notable book publications include multiple editions of Service-Oriented Computing (2024) by Springer Science+Business Media, Epithelial-Mesenchymal Transition (EMT) as a Therapeutic Target in Cancer (2023) by Frontiers Media, and Towards Resilient Social IoT Sensors and Networks (2024) by Springer Nature.

Best Publications

  • Quality driven web services composition

    Liangzhao Zeng;Boualem Benatallah;Marlon Dumas;Jayant Kalagnanam

  • The Self-Serv environment for Web services composition

    B. Benatallah;Q.Z. Sheng;M. Dumas

  • IoT Middleware: A Survey on Issues and Enabling Technologies

    Anne H. Ngu;Mario Gutierrez;Vangelis Metsis;Surya Nepal

  • Declarative composition and peer-to-peer provisioning of dynamic Web services

    B. Benatallah;M. Dumas;Q.Z. Sheng;A.H.H. Ngu

  • Sequential Recommender Systems: Challenges, Progress and Prospects

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

  • Adversarial Attacks on Deep-learning Models in Natural Language Processing: A Survey

    Wei Emma Zhang;Quan Z. Sheng;Ahoud Alhazmi;Chenliang Li

  • Web services composition: A decade's overview

    Quan Z. Sheng;Xiaoqiang Qiao;Athanasios V. Vasilakos;Claudia Szabo

  • A Survey on Session-based Recommender Systems

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

  • A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

    Xiaoxiao Ma;Jia Wu;Shan Xue;Jian Yang

  • ContextUML: a UML-based modeling language for model-driven development of context-aware Web services

    Q.Z. Sheng;B. Benatallah

  • When things matter

    Yongrui Qin;Quan Z. Sheng;Nickolas J.G. Falkner;Schahram Dustdar

  • A Comprehensive Survey on Community Detection with Deep Learning.

    Xing Su;Shan Xue;Fanzhen Liu;Jia Wu

  • Design architectures for energy harvesting in the Internet of Things

    Sherali Zeadally;Faisal Karim Shaikh;Anum Talpur;Quan Z. Sheng

  • SELF-SERV: a platform for rapid composition of web services in a peer-to-peer environment

    Quan Z. Sheng;Boualem Benatallah;Marlon Dumas;Eileen Oi-Yan Mak

  • Trust management of services in cloud environments: Obstacles and solutions

    Talal H. Noor;Quan Z. Sheng;Sherali Zeadally;Jian Yu

  • STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

    Lei Bai;Lina Yao;Salil S. Kanhere;Xianzhi Wang

  • A service computing manifesto: the next 10 years

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

  • Trust as a service: a framework for trust management in cloud environments

    Talal H. Noor;Quan Z. Sheng

  • Unified Collaborative and Content-Based Web Service Recommendation

    Lina Yao;Quan Z. Sheng;Anne. H.H. Ngu;Jian Yu

  • Enabling Next-Generation RFID Applications: Solutions and Challenges

    Q.Z. Sheng;Xue Li;S. Zeadally

  • Model-Driven development of context-aware web services

    Jian Yu;Quan Z. Sheng;Kewen Liao;Hoi S. Wong

Frequent Co-Authors

Lina Yao
Lina Yao Commonwealth Scientific and Industrial Research Organisation
Zakaria Maamar
Zakaria Maamar University of Doha for Science and Technology
Xue Li
Xue Li University of Queensland
Boualem Benatallah
Boualem Benatallah Dublin City University
Tao Gu
Tao Gu Macquarie University
Sherali Zeadally
Sherali Zeadally University of Kentucky
Yan Wang
Yan Wang Macquarie University
Mehmet A. Orgun
Mehmet A. Orgun Macquarie University
Yu Liu
Yu Liu University of Electronic Science and Technology of China

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens the door to a diverse range of online educational opportunities and career pathways. As the demand for tech professionals grows, online programs have become a flexible, accessible way to gain specialized skills while balancing other commitments. For students seeking reputable programs, exploring online schools can be a great starting point. These accredited institutions offer degrees that are recognized and valued by employers.

Those interested in creative and innovative tech careers can pursue a game design masters online. This path is ideal for individuals passionate about gaming, interactive media, and storytelling. Similarly, cybersecurity continues to be a critical field, and a cyber security masters provides advanced knowledge essential for protecting digital assets and infrastructures.

Beyond traditional tech roles, there are also blended opportunities such as a construction management masters degree online. This combines computer science skills with leadership in construction projects, ideal for those interested in both technology and engineering management. Online degrees continue to expand career possibilities for Computer Science graduates in the USA.

Best Scientists Citing Quan Z. Sheng

Trending Scientists

Recently Published Articles