Yejun Wu, PhD
Yejun Wu, PhD
Associate Professor
PhD: Information Studies, University of Maryland, College Park, 2008
Master's Degree(s): Information Science and Management, Institute of Scientific and Technical Information of China, 1991
Bachelor's Degree(s): Information Engineering, Jilin University, China, 1989
278 Coates Hall
Louisiana State University
Baton Rouge, LA 70803
O: (225) 578-1489
F: (225) 578-4581
Biography
Yejun Wu is an Associate Professor in the School of Information Studies at the Louisiana State University (LSU). His education background includes a Bachelor of Engineering degree from Jilin University (China), a Master of Science from the Institute of Scientific and Technical Information of China, and a PhD in information studies from the University of Maryland, College Park (UMCP). He is on the adjunct faculty of the Division of Computer Science and Engineering and the Interdepartmental Linguistics Program at LSU.
His work experience includes being an assistant and associate research professor at the Institute of Scientific and Technical Information of China (ISTIC) where he worked on S&T policy analysis and decision support systems, and being in a series of administrative positions at ISTIC (such as Deputy Director of Information Analysis & Research, Director of Marketing, and Director of Administration).
Courses Taught
LIS 7008 Information Technologies and Systems
LIS 7011 Information Behavior
LIS 7410 Digital Libraries
Research Areas
Dr. Wu’s research areas are primarily focused on (1) knowledge organization systems (KOSs, such as taxonomy, thesaurus, topic map, and ontology) and their applications in facilitating learning, information retrieval, and knowledge discovery, (2) construction and evaluation of KOSs, (3) user-centered knowledge organization research, and (4) critical analysis of classification.
Selected Publications
Wu, Yejun. (2023). Political Stances and Priorities in National Level General Classification Schemes. Knowledge Organization. In print.
Wu, Yejun. (2023). Complex Topics in Comprehensive Classification Schemes: Case Studies of Disaster and Security. Knowledge Organization 50(2):99-110. Knowledge Organization, 50 (2), 99-110
Wu, Yejun and Chu, Sam (2022). Assessing children's information and knowledge organization competency in elementary schools of Hong Kong. Journal of Information Science.
Wu, Yejun (2020). Developing a taxonomic framework of security methods for security management and information management. Journal of Strategic Security, 13 (2): (pp. 64-77).
Wu, Yejun and Meng, Fansong (2019). Categorizing security for security management and information resource management. Journal of Strategic Security 11(4): 72-84.
Wu, Yejun (2018). Enriching a thesaurus as a better question-answering tool and information retrieval aid. Journal of Information Science 44(4): 512–525.
Wu, Yejun (Ed.) (2016). Oil Spill Impacts: Taxonomic and Ontological Approaches. CRC Press.
Selected Presentations
Wu, Yejun (2022). Systematic disputes, biases and local priorities reflected in classifications. International Society of Knowledge Organization and Nations, Aalborg, Denmark, July 6-8th 2022
Yang, Seungwon and Wu, Yejun (2019). Designing effective knowledge presentation techniques for large digital collections. Proceedings of the 82nd ASIS&T Annual Meeting, Melbourne, Australia.
Wu, Yejun and Yang, Li (2018). Characterization of a semantic relations taxonomy in biomedical science. 14th International Conference on Knowledge Management, Vancouver, Canada.
Wu, Yejun (2018). Exploring research data management from a data user's perspective: a case study of two data repositories. 20th International Conference on Asia-Pacific Digital Libraries (ICADL), Hamilton, New Zealand.
Wu, Yejun and Yang, Li (2017). A pilot study on comparing and extracting impact relations. 19th International Conference of Asian Digital Libraries (ICADL). November 13-15, 2017. Bangkok, Thailand. In Lecture Notes in Computer Science (LNCS, vol. 10647), 142-149. Springer.
Selected Grants & Funded Projects
Wu, Yejun. An interdisciplinary topic map for understanding the impact of the Gulf of Mexico Oil Spill Incident. Gulf Research Initiative (GRI) Year One Block Fund. $166,307 (2011-2013). PI.
Wu, Yejun. Searching and understanding digital political cartoons. Louisiana Board of Regents Experimental Program to Stimulate Competitive Research (EPSCoR), NSF(2010)-PFUND-189. $9,968 (2010). PI.
Selected Professional & Community Service
Association for Information Science and Technology (ASIS&T) Professional Development Committee, Member.
Editorial Board Member, The Electronic Library, 2014-present.
Editorial Board Member, Online Information Review, 2014-present.
Editorial Board Member, Data Intelligence, 2018-present.
Editorial Board Member, Knowledge Organization, 2019-present.
Awards & Honors
2022 Association for Information Science and Technology (ASIS&T) Distinguished Member
2017 LSU Office of Innovation & Technology Commercialization certificate in recognition of the book titled “Oil Spill Impacts: Taxonomic and Ontological Approaches.”
2012 LSU Center for Community Engagement, Learning & Leadership (CCELL) Happy Award (in recognition for of dedicated excellence in service-learning practice)