His primary areas of investigation include Data science, Business intelligence, Social media, Cloud testing and Computer security. Wu He has researched Data science in several fields, including Data mining and Big data. His Business intelligence study which covers Sentiment analysis that intersects with Market intelligence.
His work in Social media addresses subjects such as Competitive intelligence, which are connected to disciplines such as Advertising. In his research on the topic of Cloud testing, Service and Software engineering is strongly related with Engineering management. His Computer security study incorporates themes from Service-oriented architecture, Computer literacy and Structural equation modeling.
His primary scientific interests are in Social media, Knowledge management, Data science, Computer security and Sentiment analysis. His work deals with themes such as Marketing, Competitor analysis, Advertising and Public relations, which intersect with Social media. His Data science study integrates concerns from other disciplines, such as Text mining and World Wide Web.
His work on Information security as part of general Computer security research is often related to Evidence-based practice, thus linking different fields of science. In his research, Analytics is intimately related to Social media analytics, which falls under the overarching field of Sentiment analysis. His research combines Competitive advantage and Social media optimization.
His primary areas of investigation include Computer security, Social media, Multimedia, Collaborative learning and Sentiment analysis. His Computer security study frequently draws connections to other fields, such as Training. His Social media research includes themes of Service quality, SERVQUAL, Social psychology and Asset.
His Multimedia research is multidisciplinary, relying on both Adaptive structuration theory, Popularity and Mobile device. His Sentiment analysis research integrates issues from Online discussion, Advertising and Analytics. His Social media analytics research includes elements of Knowledge management, Tertiary sector of the economy, Order, Data science and Measure.
System integration, Risk management, Big data, General Data Protection Regulation and Data governance are his primary areas of study. His research in System integration intersects with topics in Total quality management, Business process reengineering, Engineering management, Distance education and Enterprise information system. His Risk management research overlaps with Business value, Practical implications, Leverage, Supply chain and Industrial organization.
The study incorporates disciplines such as Emerging technologies, Digital divide and Risk analysis in addition to Big data. Wu He integrates General Data Protection Regulation with Technology development in his study.
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Internet of Things in Industries: A Survey
Li Da Xu;Wu He;Shancang Li.
Social media competitive analysis and text mining: A case study in the pizza industry
Wu He;Shenghua Zha;Ling Li.
Developing Vehicular Data Cloud Services in the IoT Environment
Wu He;Gongjun Yan;Li Da Xu.
Integration of Distributed Enterprise Applications: A Survey
Wu He;Li Da Xu.
A state-of-the-art survey of cloud manufacturing
Wu He;Lida Xu.
A novel social media competitive analytics framework with sentiment benchmarks
Wu He;Harris Wu;Gongjun Yan;Vasudeva Akula.
Information & Management (2015)
Examining students' online interaction in a live video streaming environment using data mining and text mining
Computers in Human Behavior (2013)
Gender difference and employees' cybersecurity behaviors
Mohd Anwar;Wu He;Ivan Ash;Xiaohong Yuan.
Using Data Mining for Predicting Relationships between Online Question Theme and Final Grade
M'hammed Abdous;Wu He;Cherng-Jyh Yen.
Educational Technology & Society (2012)
Investigating the impact of cybersecurity policy awareness on employees’ cybersecurity behavior
Ling Li;Wu He;Li Xu;Ivan K. Ash.
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