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

Quan Z. Sheng 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 Quan Z. Sheng sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 542 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Quan Z. Sheng 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 Quan Z. Sheng sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 69 D-Index — 87th percentile

87% of scientists in this discipline score the same or lower.

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

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