• 1993 Citations
  • 26 h-Index

Research output per year

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Personal profile


Research Interests: trust management, social networks, crowdsourcing, services computing, recommender systems, cyber security

Education and Work Experience: Dr. Yan Wang is currently a Professor in the Department of Computing, Macquarie University, Australia . He received his B. Eng, M. Eng and Doctorate Degree of Engineering in computer science and technology in 1988, 1991 and 1996 respectively from Harbin Institute of Technology (HIT), China. From Nov. 1999 to June 2003, he was a Postdoctoral Fellow/Research Fellow in the Department of Computer Science, School of Computing, National University of Singapore (NUS), Singapore.

Research and Services:

Dr. Yan Wang now serves on the editorial board of IEEE Transactions on Services Computing (TSC) by IEEE, Service-Oriented Computing & Applications (SOCA) by Springer, Human-centric Computing and Information Sciences (HCIS) by Springer, and Frontiers in Big Data by Frontiers. He also served as a guest co-editor of a special track on trusted computing of IEEE Access in 2017, and a special track on e-commerce of IEEE Internet Computing in 2008. Dr. Yan Wang has served as a Program co-Chair of IEEE SCC 2011, ATC 2011, IEEE MS2014, IEEE SCC2018, IEEE SOSE2018, and a General co-Chair of IEEE ATC2013, IEEE ATC2014, IEEE MS2015, IEEE ICWS2016 and IEEE CLOUD2017, SWC2018 and AWC2019.


  • Outstanding Service Award,  IEEE Technical Committee on Service Computing (TCSVC), 2017
  • Best Student Paper Award & Top 5 Picks Award, Jun Zou, Yan Wang and Mehmet Orgun, A Dispute Arbitration Protocol Based on a Peer-to-Peer Service Contract Management Scheme, 23rd International Conference on Web Services (IEEE ICWS2016, research track, acceptance rate 14%), June 27-July 2, 2016, San Francisco, USA (CORE rank A)
  • Vice-Chancellor’s Faculty Award for Excellence in Higher Degree Research Supervision, Faculty of Science, Macquarie University, 2014
  • Best Paper Award, Haibin Zhang, Yan Wang and Xiuzhen Zhang, Efficient Contextual Transaction Trust Computation in E-Commerce Environments, 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2012) (acceptance rate: 100/358 = 28%), 25-27 June 2012, Liverpool, UK (CORE rank A)
  • Best Paper Award, Guanfeng Liu, Yan Wang, Mehmet A. Orgun and Ee-Peng Lim, A Heuristic Algorithm for Trust-Oriented Service Provider Selection in Complex Social Networks, IEEE The 7th International Conference on Services Computing (IEEE SCC2010) (research track, acceptance rate: 29/165 =18%), July 5-10, 2010, Miami, Florida, USA (CORE rank A)

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Combating Fake News on Social Media: From Early Detection to Intervention

Zhang, X., Wang, Y. & Liu, H.


Project: Research

Reputation-based Trust Management in Crowdsourcing Environments

Wang, Y., Sheng, M., Orgun, M., MQRES (International), M. (. & MQRES, M.


Project: Research

A Large-Scale Distributed Experimental Facility for the Internet of Things

Sheng, M., Bouguettaya, A., Loke, S., Li, X., Liang, W., Benattalah, B., Ali Babar, M., Yang, J., Zomaya, A. Y., Wang, Y., Zhou, W., Yao, L., Taylor, K. & Bergmann, N.


Project: Research

A Personalized Social Network Based Location Search and Recommender System

Yang, J., Orgun, M., Wang, Y., Air, M., Eichhorn, B. & Rej, T.

1/05/13 → …

Project: Research

Research Outputs

CTumorGAN: a unified framework for automatic computed tomography tumor segmentation

Pang, S., Du, A., Orgun, M. A., Yu, Z., Wang, Y., Wang, Y. & Liu, G., 28 Mar 2020, In : European Journal of Nuclear Medicine and Molecular Imaging.

Research output: Contribution to journalArticle

  • 1 Citation (Scopus)

    Early detection of rumours on Twitter via stance transfer learning

    Tian, L., Zhang, X., Wang, Y. & Liu, H., 2020, Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part I. Jose, J. M., Yilmaz, E., Magalhães, J., Castells, P., Ferro, N., Silva, M. J. & Martins, F. (eds.). Cham, Switzerland: Springer, Springer Nature, p. 575-588 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12035 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

    Open Access
  • Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies

    Yu, Z., Pang, S., Du, A., Orgun, M., Wang, Y. & Lin, H., 2020, Medical Imaging 2020: Image Processing. Išgum, I. & Landman, B. A. (eds.). Bellingham, WA: SPIE, 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

  • Intention Nets: psychology-inspired user choice behavior modeling for next-basket prediction

    Wang, S., Hu, L., Wang, Y., Sheng, Q. Z., Orgun, M. & Cao, L., 2020, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). Palo Alto, CA: Association for the Advancement of Artificial Intelligence, p. 6259-6266 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

    Open Access
  • Updates-aware graph pattern based node matching

    Sun, G., Liu, G., Wang, Y. & Zhou, X., 2020, Proceedings - 2020 IEEE 36th International Conference on Data Engineering, ICDE 2020. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 697-708 12 p. (Proceedings - International Conference on Data Engineering; vol. 2020-April).

    Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution