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Publications

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  Figure Reuse

  Bioscience-scale automated detection of figure element reuse

  Daniel E. Acuna, Paul S. Brookes & Konrad P. Kording (2018)·BioRxiv

  This study presents an algorithm that detects figure element reuse in a large dataset of 760 thousand open access articles and 2 million figures, robust to various transformations. A panel review estimates that 0.6% of all articles contain fraudulent reuses, with inappropriate reuses occurring 43% across articles, 28% within an article, and 29% within a figure.

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  Missing Citation

  Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models

  Tong Zeng & Daniel E. Acuna (2020)·Scientometrics

  This study develops an automated system using advanced neural networks to pinpoint sentences needing citations. It enhances document quality by identifying citation errors using a comprehensive dataset.

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  Figure Accessibility

  A computational analysis of accessibility, readability, and explainability of figures in open access publications

  Han Zhuang, Tzu-Yang Huang & Daniel E. Acuna (2023)·EPJ Data Science

  This study develops computational techniques to assess the accessibility, readability, and explainability of figures in scientific publications. Our analysis reveals that approximately 20.6% of open access publications have issues related to these aspects, with detailed statistics provided for specific problems.

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