Research Output per year
Research Output per year
Personal profile
Research Interests
Dr. Ou Liu’s research interests include business intelligence and analytics, social networks, and R&D project management. He has published over 40 fully refereed papers via renowned & prestigious publication venues, such as Decision Support Systems, European Journal of Operational Research, Computers in Industry, various IEEE Transactions, among others. According to Google Scholar, his total citation is 1100+ and H-index is 15. He also has industrial experience in developing the R&D project management system for National Science Foundation of China, and a scholars’ social network which involves big data analytics of social media.
Education/Academic qualification
PhD
1 Sep 2000 → 15 Feb 2016
Award Date: 15 Feb 2006
MSc, Sun Yat-Sen University
1 Sep 1993 → 1 Jul 2000
Award Date: 1 Jul 2000
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Research Output
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Expert Detection and Recommendation Model With User-Generated Tags in Collaborative Tagging Systems
Shen, M., Wang, J., Liu, O. & Wang, H., 31 Oct 2020, In: Journal of Database Management. 31, 4, p. 24-45 22 p.Research output: Contribution to journal › Article › peer-review
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Recent advancements in big data technologies and applications in computing, IoT and computer engineering technology
Man, K. L., Liu, O., Hughes, D. & Lu, C., 28 Sep 2018, In: Journal of Universal Computer Science. 24, 9, p. 1151-1152Research output: Contribution to journal › Editorial › peer-review
Open AccessFile -
Improving Video Recommendation Systems from Implicit Feedback in the E-marketing Environment
Zhang, J. H., Chong, W., Liu, O. & Man, K. L., 17 Mar 2017, 2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017. p. 723-727 (Lecture Notes in Engineering and Computer Science; vol. 2228).Research output: Chapter in Book/Report/Conference proceeding › Conference publication
Open Access -
An intelligent decision support approach for reviewer assignment in R&D project selection
Liu, O., Wang, J., Ma, J. & Sun, Y., 1 Feb 2016, In: Computers in Industry. 76, p. 1-10Research output: Contribution to journal › Article › peer-review
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A synthetic method for knowledge management performance evaluation based on triangular fuzzy number and group support systems
Wang, J., Ding, D., Liu, O. & Li, M., 1 Feb 2016, In: Applied Soft Computing Journal. 39, p. 11-20 10 p.Research output: Contribution to journal › Article › peer-review