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Paper Digest

Sci-Tech knowledge graph & text analysis platform for scientific literature tracking, summarization and search

We are a New York based research group working on text analysis. We were founded in 2018 by Dr. Chang Wang.


Our mission is to produce high quality text analysis results that people can “actually” use on a daily basis. We also maintain one of the largest sci-tech knowledge graphs in the world. Different from other knowledge graphs, we are able to connect research and development activities to business activities and financial activities. “Paper Digest” is our trademark registered in the US and other countries and regions.

Currently, we offer the following services related to scientific literature analysis:


  • Daily paper digest (introduced in early 2018)
    • subscribers receive customized daily updates on papers published on previous day;
  • Conference paper digest (introduced in mid 2019)
    • one-sentence highlight for every paper published in a conference;
  • Paper/Patent/Grant search (introduced in early 2020)
    • search results are associated with “related” features and one-sentence highlight
  • Real-time topic tracking (introduced in early 2020)
    • including paper tracking, patent tracking and grant tracking;
  • “Best paper” digest (introduced in early 2021)
    • present 10-15 most influential papers for each conference / journal & year;
  • Literature Review (introduced in late 2021)
    • generate a literature review around any given research topic in seconds

Data & Compute Resource
We track and analyze new papers appearing in major academic websites (including arxiv, biorxiv, pubmed, medrxiv, google scholarsemantic scholar academic graph (under odc attribution license), paperswithcode, bing academic, ieee, acm, etc) as well as thousands of other conferences and journals.


We also track other technology related data like  patents and government grants. Our finance, business activity, organization, and person related data is provided by Expert Graph. Our technological semantics related data is provided by Word2Tech.


Part of our compute resource is generously provided by AWS educational technology (EdTech) startup accelerator.

We have developed exclusive techniques to produce high quality text analysis results across all scientific subjects.


We have built a fairly complicated text analysis platform to support paper digest services.


The platform contains:

  • a central knowledge graph storing hundreds of millions of documents;
  • several search components providing paper, patent, grant and expert search results;
  • a number of site crawlers tracking new papers and other related documents in real-time;
  • a pipeline with dozens of built-in natural language processing and machine learning components to analyze documents & generate text.

Our users come from more than 200 countries or territories across the world. Top 10 countries (based on the number of full pages that have been viewed) are: United States, China, India, Canada, Great Britain, Germany, South Korea, Sweden, France, Russian Federation. Most of our users are researchers, engineers, professors and graduate students. Some business men, reporters and investors also use our services to read literature review, track trending topics and the most recent research progresses.

  • team@paperdigest.org
  • 12 E 49th St, 9th Floor, New York, NY, USA, 10017