Citrus
Citrus is a similarity-based search engine for scientific papers that uses machine learning to find research related to a paper you choose.
Citrus is a similarity-based search engine for scientific papers that uses machine learning to find research related to a paper you choose.
Citrus is a similarity-based search engine for scientific papers that uses machine learning to find research related to a paper you choose.
Finding the papers closest to one you already know is the job Citrus does. Citrus is a similarity-based search engine for scientific literature: you pick a paper, start the search, and land in the middle of that research area without writing keyword queries.
Results run from seminal papers to the state of the art, and a timeline view lets you see important contributions at a glance.
You can also browse with different taxonomy so fewer relevant papers slip past you.
Under the hood, Citrus scores how similar papers are using graph-based and text-based machine learning.
The index comes from Semantic Scholar's Open Research Corpus, which covers over 200 million publications and around 2 billion citations.
That makes it a handy starting point for a literature review in an unfamiliar field.
AI For Data Analytics
free
https://citrus-search.com/
published
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Research & Data Analysis, AI Research Papers, AI Research Tool...
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