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  • × author_ss:"Li, X."
  1. Li, X.; Thelwall, M.; Kousha, K.: ¬The role of arXiv, RePEc, SSRN and PMC in formal scholarly communication (2015) 0.04
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    Abstract
    Purpose The four major Subject Repositories (SRs), arXiv, Research Papers in Economics (RePEc), Social Science Research Network (SSRN) and PubMed Central (PMC), are all important within their disciplines but no previous study has systematically compared how often they are cited in academic publications. In response, the purpose of this paper is to report an analysis of citations to SRs from Scopus publications, 2000-2013. Design/methodology/approach Scopus searches were used to count the number of documents citing the four SRs in each year. A random sample of 384 documents citing the four SRs was then visited to investigate the nature of the citations. Findings Each SR was most cited within its own subject area but attracted substantial citations from other subject areas, suggesting that they are open to interdisciplinary uses. The proportion of documents citing each SR is continuing to increase rapidly, and the SRs all seem to attract substantial numbers of citations from more than one discipline. Research limitations/implications Scopus does not cover all publications, and most citations to documents found in the four SRs presumably cite the published version, when one exists, rather than the repository version. Practical implications SRs are continuing to grow and do not seem to be threatened by institutional repositories and so research managers should encourage their continued use within their core disciplines, including for research that aims at an audience in other disciplines. Originality/value This is the first simultaneous analysis of Scopus citations to the four most popular SRs.
    Date
    20. 1.2015 18:30:22
    Object
    Social Science Research Network
    Source
    Aslib journal of information management. 67(2015) no.6, S.614-635
  2. Zhu, L.; Xu, A.; Deng, S.; Heng, G.; Li, X.: Entity management using Wikidata for cultural heritage information (2024) 0.02
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    Abstract
    Entity management in a Linked Open Data (LOD) environment is a process of associating a unique, persistent, and dereferenceable Uniform Resource Identifier (URI) with a single entity. It allows data from various sources to be reused and connected to the Web. It can help improve data quality and enable more efficient workflows. This article describes a semi-automated entity management project conducted by the "Wikidata: WikiProject Chinese Culture and Heritage Group," explores the challenges and opportunities in describing Chinese women poets and historical places in Wikidata, the largest crowdsourcing LOD platform in the world, and discusses lessons learned and future opportunities.
  3. Li, X.; Schijvenaars, B.J.A.; Rijke, M.de: Investigating queries and search failures in academic search (2017) 0.02
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    Content
    Vgl.: http://www.sciencedirect.com/science/article/pii/S0306457316304071.
    Source
    Information processing and management. 53(2017) no.3, S.666-683
  4. Li, X.; Fullerton, J.P.: Create, edit, and manage Web database content using active server pages (2002) 0.01
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    Abstract
    Libraries have been integrating active server pages (ASP) with Web-based databases for searching and retrieving electronic information for the past five years; however, a literature review reveals that a more complete description of modifying data through the Web interface is needed. At the Texas A&M University Libraries, a Web database of Internet links was developed using ASP, Microsoft Access, and Microsoft Internet Information Server (IIS) to facilitate use of online resources. The implementation of the Internet Links database is described with focus on its data management functions. Also described are other library applications of ASP technology. The project explores a more complete approach to library Web database applications than was found in the current literature and should serve to facilitate reference service.
  5. Li, X.: ¬A new robust relevance model in the language model framework (2008) 0.01
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    Source
    Information processing and management. 44(2008) no.3, S.991-1007
  6. Li, X.; Cox, A.; Ford, N.; Creaser, C.; Fry, J.; Willett, P.: Knowledge construction by users : a content analysis framework and a knowledge construction process model for virtual product user communities (2017) 0.01
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    Abstract
    Purpose The purpose of this paper is to develop a content analysis framework and from that derive a process model of knowledge construction in the context of virtual product user communities, organization sponsored online forums where product users collaboratively construct knowledge to solve their technical problems. Design/methodology/approach The study is based on a deductive and qualitative content analysis of discussion threads about solving technical problems selected from a series of virtual product user communities. Data are complemented with thematic analysis of interviews with forum members. Findings The research develops a content analysis framework for knowledge construction. It is based on a combination of existing codes derived from frameworks developed for computer-supported collaborative learning and new categories identified from the data. Analysis using this framework allows the authors to propose a knowledge construction process model showing how these elements are organized around a typical "trial and error" knowledge construction strategy. Practical implications The research makes suggestions about organizations' management of knowledge activities in virtual product user communities, including moderators' roles in facilitation. Originality/value The paper outlines a new framework for analysing knowledge activities where there is a low level of critical thinking and a model of knowledge construction by trial and error. The new framework and model can be applied in other similar contexts.
  7. Li, X.; Zhang, A.; Li, C.; Ouyang, J.; Cai, Y.: Exploring coherent topics by topic modeling with term weighting (2018) 0.01
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    Source
    Information processing and management. 54(2018) no.6, S.1345-1358
  8. Li, X.; Rijke, M.de: Characterizing and predicting downloads in academic search (2019) 0.01
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    Source
    Information processing and management. 56(2019) no.3, S.394-407
  9. Xie, H.; Li, X.; Wang, T.; Lau, R.Y.K.; Wong, T.-L.; Chen, L.; Wang, F.L.; Li, Q.: Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy (2016) 0.01
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    Source
    Information processing and management. 52(2016) no.1, S.61-72
  10. Li, X.: Designing an interactive Web tutorial with cross-browser dynamic HTML (2000) 0.00
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    Date
    28. 1.2006 19:21:22
  11. Yan, X.; Li, X.; Song, D.: ¬A correlation analysis on LSA and HAL semantic space models (2004) 0.00
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    Series
    Lecture notes in computer science; vol. 3314
    Source
    Computational and information science. First International Symposium, CIS 2004, Shanghai, China, December 16-18, 2004. Proceedings. Eds.: J. Zhang et al
  12. Li, J.; Zhang, Z.; Li, X.; Chen, H.: Kernel-based learning for biomedical relation extraction (2008) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.5, S.756-769
  13. Zhang, Y.; Li, X.; Fan, W.: User adoption of physician's replies in an online health community : an empirical study (2020) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.10, S.1179-1191
  14. Su, S.; Li, X.; Cheng, X.; Sun, C.: Location-aware targeted influence maximization in social networks (2018) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.2, S.229-241
  15. Wang, P.; Li, X.: Assessing the quality of information on Wikipedia : a deep-learning approach (2020) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.1, S.16-28
  16. Li, X.: Young people's information practices in library makerspaces (2021) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.6, S.744-758
  17. Yang, X.; Li, X.; Hu, D.; Wang, H.J.: Differential impacts of social influence on initial and sustained participation in open source software projects (2021) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.9, S.1133-1147
  18. Barjak, F.; Li, X.; Thelwall, M.: Which factors explain the Web impact of scientists' personal homepages? (2007) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.2, S.200-211