Scientometric analysis and classification of research using convolutional neural networks: A case study in data science and analytics
With the increasing development of published literature, classification methods based on
bibliometric information and traditional machine learning approaches encounter …
bibliometric information and traditional machine learning approaches encounter …
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting
A Lauscher, B Ko, B Kuehl, S Johnson… - ar**
Transparency in financial reporting is crucial for maintaining trust in financial markets, yet
fraudulent financial statements remain challenging to detect and prevent. This study …
fraudulent financial statements remain challenging to detect and prevent. This study …
[HTML][HTML] Deep learning meets bibliometrics: A survey of citation function classification
With the advent and progression of Natural Language Processing (NLP) methodologies, the
domain of automatic citation function classification has gained popularity and considerable …
domain of automatic citation function classification has gained popularity and considerable …
Cracking double-blind review: Authorship attribution with deep learning
Double-blind peer review is considered a pillar of academic research because it is
perceived to ensure a fair, unbiased, and fact-centered scientific discussion. Yet …
perceived to ensure a fair, unbiased, and fact-centered scientific discussion. Yet …
Assessing citation integrity in biomedical publications: corpus annotation and NLP models
Motivation Citations have a fundamental role in scholarly communication and assessment.
Citation accuracy and transparency is crucial for the integrity of scientific evidence. In this …
Citation accuracy and transparency is crucial for the integrity of scientific evidence. In this …
SATS: simplification aware text summarization of scientific documents
Simplifying summaries of scholarly publications has been a popular method for conveying
scientific discoveries to a broader audience. While text summarization aims to shorten long …
scientific discoveries to a broader audience. While text summarization aims to shorten long …
Are papers published in predatory journals worthless? A geopolitical dimension revealed by content-based analysis of citations
This study uses content-based citation analysis to move beyond the simplified classification
of predatory journals. We present that, when we analyze papers not only in terms of the …
of predatory journals. We present that, when we analyze papers not only in terms of the …
Extracting the evolutionary backbone of scientific domains: The semantic main path network analysis approach based on citation context analysis
X Jiang, J Liu - Journal of the association for information …, 2023 - Wiley Online Library
Main path analysis is a popular method for extracting the scientific backbone from the
citation network of a research domain. Existing approaches ignored the semantic …
citation network of a research domain. Existing approaches ignored the semantic …
Neural machine translation for in‐text citation classification
The quality of scientific publications can be measured by quantitative indices such as the h‐
index, Source Normalized Impact per Paper, or g‐index. However, these measures lack to …
index, Source Normalized Impact per Paper, or g‐index. However, these measures lack to …