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Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing

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References

2020Generalized anxiety disorder, depressive symptoms and sleep quality during COVID-19 outbreak in China: a web-based cross-sectional survey3,725 cited
2020Mental health care for medical staff in China during the COVID-19 outbreak2,233 cited
2020The Psychological Causes of Panic Buying Following a Health Crisis513 cited
2015Computer-Assisted Text Analysis for Comparative Politics478 cited
2014stm: R Package for Structural Topic Models369 cited
2017A Web Application Software for Causal-based Machine Learning Discrimination Estimation128 cited
2020Identifying Research Trends and Gaps in the Context of COVID-1973 cited

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2022Discovering temporal scientometric knowledge in COVID-19 scholarly production16 cited
2022A topic trend analysis on COVID-19 literature14 cited
2023An embedding approach for analyzing the evolution of research topics with a case study on computer science subdomains12 cited
2021Discovering the evolution of artificial intelligence in cancer research using dynamic topic modeling

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11 cited

2022Using sentiment analysis to identify similarities and differences in research topics and medical subject headings (MeSH terms) between Medicine (Baltimore) and the Journal of the Formosan Medical Association (JFMA) in 202011 cited

2024A Literature Review of Covid-19 Research: Taking Stock and Moving Forward10 cited

2024Mapping trends and hotspots of research on COVID-19 vaccine effectiveness: A comprehensive bibliometric analysis of global research10 cited

2022Trends in major intensive care medicine journals: A machine learning approach10 cited