-
Mischo, W.H.; Lee, J.: End-user searching in bibliographic databases (1987)
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- Source
- Annual review of information science and technology. 22(1987), S.227-263
-
Cheung, D.W.; Kao, B.; Lee, J.: Discovering user access patterns on the World Wide Web (1998)
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- Footnote
- Contribution to a special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997
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Chung, S.M.; Lee, J.: Information discovery on the Internet (1998)
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Lee, J.; Oh, S.; Dong, H.; Wang, F.; Burnett, G.: Motivations for self-archiving on an academic social networking site : a study on researchgate (2019)
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-
Lee, J.: Geographical information systems : an introduction (1993)
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Lee, J.: Design rationale systems : understanding the issues (1997)
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-
Neilson, I.; Lee, J.: Conversations with graphics : implications for the design of natural language/graphics interfaces (1994)
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Lim, S.; Woo, J.R.; Lee, J.; Huh, S.-Y.: Consumer valuation of personal information in the age of big data (2018)
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Lee, J.; Boling, E.: Information-conveying approaches and cognitive styles of mental modeling in a hypermedia-based learning environment (2008)
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Lee, J.; Min, J.-K.; Oh, A.; Chung, C.-W.: Effective ranking and search techniques for Web resources considering semantic relationships (2014)
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Chung, E.K.; Kwon, N.; Lee, J.: Understanding scientific collaboration in the research life cycle : bio- and nanoscientists' motivations, information-sharing and communication practices, and barriers to collaboration (2016)
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Son, J.; Lee, J.; Larsen, I.; Nissenbaum, K.R.; Woo, J.: Understanding the uncertainty of disaster tweets and its effect on retweeting : the perspectives of uncertainty reduction theory and information entropy (2020)
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Lee, J.; Jatowt, A.; Kim, K.-S..: Discovering underlying sensations of human emotions based on social media (2021)
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Liu, M.; Bu, Y.; Chen, C.; Xu, J.; Li, D.; Leng, Y.; Freeman, R.B.; Meyer, E.T.; Yoon, W.; Sung, M.; Jeong, M.; Lee, J.; Kang, J.; Min, C.; Zhai, Y.; Song, M.; Ding, Y.: Pandemics are catalysts of scientific novelty : evidence from COVID-19 (2022)
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