Research output per year
Research output per year
Personal profile
Biography
Qianwen Xu is a PhD student in Operations & Information Management at the College of Business and Social Sciences at Aston University. Her dissertation research focuses on box-office prediction based on techniques of Artificial Intelligence and Data Science. She completed her master’s degree in Business Analytics with Distinctions from the University of Liverpool, UK. She is also a member of Prof. Victor Chang’s research team. She is a hardworking, dedicated and resourceful student who can make things happen. She has published several publications in refereed academic journals, such as Technological forecasting and social change, Information Systems Frontiers, Expert Systems, etc.
Contact Details
qianwen.ariel.xu@gmail.com
220247906@aston.ac.uk
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Collaborations and top research areas from the last five years
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Analysis of co-authorship network and the correlation between academic performance and social network measures
Xu, Q. & Chang, V., 2020, IoTBDS 2020 - Proceedings of the 5th International Conference on Internet of Things, Big Data and Security. Willis, G., Kacsuk, P. & Chang, V. (eds.). SciTePress, p. 359-366 8 p.Research output: Chapter in Book/Published conference output › Conference publication
Open Access -
Event Study and Principal Component Analysis Based on Sentiment Analysis – A Combined Methodology to Study the Stock Market with an Empirical Study
Xu, Q., Chang, V. & Hsu, C. H., 1 Oct 2020, In: Information Systems Frontiers. 22, 5, p. 1021-1037 17 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Analysis of influencing factors of grain yield based on multiple linear regression
Chang, V. & Xu, Q., 23 Feb 2021, In: International Journal of Business and Systems Research. 15, 3, p. 337-355 19 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Automatic Accent and Gender Recognition of Regional UK Speakers
Jayne, C., Chang, V., Bailey, J. & Xu, Q. A., 15 Jun 2022, Engineering Applications of Neural Networks - 23rd International Conference, EAAAI/EANN 2022, Proceedings. Iliadis, L., Jayne, C., Tefas, A. & Pimenidis, E. (eds.). 1 ed. Springer, p. 67-80 14 p. (Communications in Computer and Information Science; vol. 1600 CCIS).Research output: Chapter in Book/Published conference output › Conference publication
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How Blockchain can impact financial services – The overview, challenges and recommendations from expert interviewees
Chang, V., Baudier, P., Zhang, H. H., Xu, Q. A., Zhang, J. & Arami, M., 1 Sept 2020, In: Technological Forecasting and Social Change. 158, 120166.Research output: Contribution to journal › Article › peer-review