Jin Zhang, Ph.D.
Professor & Interim PhD Program Director
Ph.D., School of Information Sciences, University of Pittsburgh
M.S., School of Library and Information Science, Wuhan University
B.S., School of Library and Information Science, Wuhan University
Research InterestsDr. Jin Zhang has a PhD from School of Information Sciences, the University of Pittsburgh. He also holds a Bachelor of Science and Master of Science from Department of Information Science, Wuhan University, China. His research interests include visualization for information retrieval, information retrieval algorithms, metadata, digital libraries, transaction log analysis, consumer health informatics, human and computer interaction, and search engine evaluation. He has taught Information Retrieval, Research Methods, and Information Technology. He has written many articles, published in such information science journals as the Journal of American Society for Information Science and Technology, Information Processing and Management, the Journal of Information Science, IEEE Transactions on Visualization and Computer Graphics, and the Journal of Intelligent Information Systems. One of His books, “Visualization for Information Retrieval” was published by Springer in 2008. The book is in the Information Retrieval Series of Springer.
410 Database Information Retrieval Systems
591 Introduction to Research Methods in Information Studies
781 Library Automation
783 Information Storage and Retrieval
788 System Analysis and Design
971 Doctoral Information Retrieval Seminar
891 Doctoral Seminar: Quantitative Research Methods
Zhang, J. (2008). Visualization for Information Retrieval. Springer.
Zhang, J. (2009). Visualization for Information Retrieval. The Encyclopedia of Database Systems, Özsu, M. Tamer; Liu, Ling (Eds.) Springer.
Zhang, J. and Wolfram, D. (2009). Obesity-related query term analysis in a public health portal transaction log. Online Information Review 33(1), 43-58.
Zhang, J., Wolfram, D., & Wang, P. (2009). Analysis of query keywords of sports-related queries using visualization and clustering. Journal of the American Society for Information Science and Technology, 60(8), 1550-1571.