Hidden Citation

Hidden citations, instances where scientific findings are implicitly referenced without formal citation, represent a significant challenge to accurate assessment of scientific impact. Research focuses on automatically detecting these hidden references using natural language processing techniques, often employing machine learning models to analyze full text for contextual clues indicating prior work. This work aims to improve the accuracy of bibliometric analyses and provide a more complete picture of knowledge flow and influence within scientific literature, ultimately enhancing the integrity and transparency of scientific communication. The identification of hidden citations is crucial for a more comprehensive understanding of scientific progress and the attribution of credit to original researchers.