1. Yongyan Li (forthcoming). 'Standing on the Shoulders of Giants': Recontextualization in Writing From Sources. Science and Engineering Ethics:1-18.
    Despite calls for more research into the writing expertise of senior scientists, the literature reveals surprisingly little about the writing strategies of successful scientist writers. The present paper addresses the gap in the literature by reporting a study that investigated the note-taking strategies of an expert writer, a Chinese professor of biochemistry. Primarily based on interview data, the paper describes the expert’s recontextualization (Linell, Text 18:143–157, 1998) strategies at three levels: ‘accumulating writing materials’ by modifying source texts, composing from ‘collections’ (...)
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  2. Yongyan Li (2013). Text-Based Plagiarism in Scientific Writing: What Chinese Supervisors Think About Copying and How to Reduce It in Students' Writing. Science and Engineering Ethics 19 (2):569-583.
    Text-based plagiarism, or textual copying, typically in the form of replicating or patchwriting sentences in a row from sources, seems to be an issue of growing concern among scientific journal editors. Editors have emphasized that senior authors (typically supervisors of science students) should take the responsibility for educating novices against text-based plagiarism. To address a research gap in the literature as to how scientist supervisors perceive the issue of textual copying and what they do in educating their students, this paper (...)
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  3. Yongyan Li (2013). Text-Based Plagiarism in Scientific Publishing: Issues, Developments and Education. [REVIEW] Science and Engineering Ethics 19 (3):1241-1254.
    Text-based plagiarism, or copying language from sources, has recently become an issue of growing concern in scientific publishing. Use of CrossCheck (a computational text-matching tool) by journals has sometimes exposed an unexpected amount of textual similarity between submissions and databases of scholarly literature. In this paper I provide an overview of the relevant literature, to examine how journal gatekeepers perceive textual appropriation, and how automated plagiarism-screening tools have been developed to detect text matching, with the technique now available for self-check (...)
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