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Explores key factors impacting knowledge diffusion in academic publications, indicating necessary adjustments for effectiveness.
(1) Background: Knowledge diffusion of academic publications has become a crucial indicator of research impact in the context of open science, yet its influencing factors and underlying mechanisms remain insufficiently studied. (2) Methods: Based on literature research, this study constructed a multi-dimensional factor system consisting of 17 factors. The DEMATEL method was used to identify the key influencing factors. The mean and standard deviation of the comprehensive influence matrix were taken as the threshold (λ = 0.87) to filter important relationships and establish an adjacency matrix. The ISM method was used to explore the hierarchical relationship of the influencing factors, and finally, strategies were proposed. (3) Results: The results show that the journal characteristics have the highest centrality (30.292), the author characteristics have the strongest causal effect (0.686), and the language characteristics are at the bottom of the influence factor hierarchical structure model, possessing certain driving force and being closely related to multiple factors. (4) Conclusions: Effective enhancement of knowledge diffusion requires coordinated optimization across language expression, core research elements, methodological execution, dissemination channels, and presentation formats, providing theoretical and practical implications for academic evaluation and research management.
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Zhang et al. (2026) studied this question.
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