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20192023
most citedPredicting the Reproducibility of Social and Behavioral Science Papers Using Supervised Learning Models

11 citations · 18 across the 7 of their papers we have counts for

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Showing 2019Show all

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cs.DL2019

Cleaning Noisy and Heterogeneous Metadata for Record Linking Across Scholarly Big Datasets

Athar Sefid, Jian Wu, Allen C. Ge +5

Automatically extracted metadata from scholarly documents in PDF formats is usually noisy and heterogeneous, often containing incomplete fields and erroneous values. One common way…