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    Seminar TitleEarly Prediction of Academic Article Lifecycle Models Based on Multimodal Architecture
    Year112
    Semester2
    Published date2024-07-08
    Seminar NameEarly Prediction of Academic Article Lifecycle Models Based on Multimodal Architecture
    Seminar Name Other
    All AuthorChia-Ling Chang, Yi- Lung Lin and Yi-Hung Liu
    The Unit Of The Conference
    Publisher
    Meeting NameThe International Conference on Intelligent Science and Sustainable Development (ISASD 2024)
    Meeting Place東京,日本
    SummaryThe study of citation lifecycles in academic publications is crucial in scholarly research. Many studies use descriptive statistics or regression analyses to forecast citation outcomes, but they often don't fully combine textual data (like titles, abstracts, and keywords) with numerical data (such as impact factors and h-indexes). This research introduces an innovative multimodal model designed to predict early citation trajectories for scholarly articles, addressing this gap. We developed eight models to predict citations from the first to the eighth year based on 2017 data. Our lifecycle analysis shows that the model maintains high performance over multiple years, highlighting its robustness and adaptability. The results underscore the benefits of combining diverse data types for long-term predictive tasks, making our model a valuable tool for researchers and practitioners in Library and Information Science. This model significantly improves our ability to assess the early citation potential of academic papers, making it a valuable resource for researchers and policymakers in academic publishing. Additionally, to thoroughly explore bibliographic data, the study used LDA to investigate the topic distribution of library and information science publications in 2017.
    KeywordLife Cycle of Scholarly Articles;Citation Time Window;Early Prediction;Multimodal learning;Deep learning
    Use LangEnglish
    Included in
    Nature Of The Meeting國際
    On-campus Seminar Location
    Seminar Time20240708~20240711
    Corresponding Author
    Country日本
    Open Call for Papers
    Publication style
    Provenance