View source for Find More COVID-19 Papers

To see all pages on OmniJournal, see [[Special:AllPages|all pages]].

To discover more COVID-19 academic papers (to peer-review on OmniJournal), we highly recommend https://discovid.ai

Discovid uses advanced machine learning to group papers by similarity to each other. After searching on Discovid, you can expand an article by clicking on it in the search results. When the article expands, similar papers will be displayed underneath its summary. This is not your run-of-the-mill "related papers" feature. Instead, due to the advanced machine learning ([https://www.youtube.com/watch?v=3mHy4OSyRf0 LDA]), it matches papers with similar topics extremely well and with considerable depth.

You can watch the introductory video for Discovid here: https://www.kaggle.com/danielwolffram/topic-modeling-finding-related-articles

Discovid uses the [https://www.semanticscholar.org/cord19 CORD-19 Dataset].

You can also use the [https://cord-19.apps.allenai.org/ CORD-19 Explorer], as an alternative to Discovid, to search the [https://www.semanticscholar.org/cord19 CORD-19 Dataset].

If you come across additional COVID-19 academic indexes, please [[Contact_Us|email us]] so we can update this page. Thanks!