PaperDeep

Application that advances researsh article searching and plays a role of literature review assistant for researchers, professionals, graduates and undergraduates.

Table of Contents

Live Demo
Overview
Domain-Specific Words
Features
Contributing
Contact
Acknowledgments

Live Demo

Overview

When researchers are drowning in enormous paper mess, they are afraid of omitting any papers relevant to their research topic. Even though Google Scholar, Scopus, Web of Science, etc. with a bunch of fancy and powerful features on their websites can be utilized, researchers still have one simple question:

So, what are those most relevant papers that I need, and what is the relationship among previous works?

It is a long-standing issue and also an urgent need to build an application that provides precise searching result and categorizes correlated literatures. Therefore, PaperDeep advances paper search, constructs citation trees, provides publication cluster and recommends the most relevant and significant papers.

Paperdeep will pull data from Scopus API, based on user's keywords, to provide

* Citation Tree

* Paper Cluster

* Publication Cluster

* Recommendation of Masterpiece

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Domain-Specific Words

Title: title of the paper
eid: paper id in scopus database
link: the paper URL
publication name: the publication of paper (Conference, Jornal)
date: the publication date of paper
organization: the organization of the author
citedby: a citation count of the paper
author: Lead authorname

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Features

[x] Search paper via keyword
[x] view all cited papers
[x] Show the impact factor of the publication
[ ] Clustering of papers
[ ] Automatically recommend impactful papers according user’s study field
[ ] For papers from at least one year ago, base on citations and web of science. Otherwise, base on Conference.
[ ] Citation tree : a study path for novices in certain domain
[ ] Booming paper: Track and report the citation growth of papers

See the open issues for a full list of proposed features (and known issues).

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Citation Tree

PaperDeep constructs a literature review map for researchers. This map can also become a study path for novices in a certain domain.

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Paper Cluster

Clusters of papers. PaperDeep clusters highly relevant papers and then sorts these papers, according to significance metrics (e.g. citations, journal impact), for each user from various kinds of academic disciplines and backgrounds.

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Long-term Goals

Publication Cluster

Searching result sorted by publication's journal impact and clustered by different field.

Recommendation of Masterpiece

PaperDeep automatically recommends impactful papers according to user’s study field.

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!