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OpenAlex Scholarly Works Scraper icon

Top-Cited Deep Learning Papers from OpenAlex

The foundational deep learning reading list, ranked by citation count from OpenAlex with authors, venue, and abstracts for literature reviews and ML research.

Run this use case nowRun on Apify →

How it works

  1. 1
    Open it on Apify

    Hit Run on Apify — it opens the tool in the cloud, no install.

  2. 2
    Set the inputs

    Adjust query, sort, fromDate (sensible defaults are pre-filled).

  3. 3
    Click Run

    The tool runs on Apify’s cloud and collects the data for you.

  4. 4
    Export the results

    Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Inputs

FieldWhat it doesType
queryKeywords to search OpenAlex works for (title, abstract and fulltext are searched), e.g. "machine learning", "crispr gene editing". Required.string
sortHow to order results: Relevance (best match for the query), Citations (most-cited first), or Date (newest first).string
fromDateOptional. Only return works published on or after this date (YYYY-MM-DD, e.g. 2023-01-01). Adds a from_publication_date filter.string
filterOptional advanced filter passed straight to the OpenAlex API filter param. Comma-separated key:value pairs, e.g. "type:article,is_oa:true,from_publication_date:2023-01-01". See the OpenAlex docs for available filter keys. Merged with From publication date.string
maxItemsMaximum number of works to return. Cursor pagination fetches 50 per page until this many unique works are collected.integer
notionConnectorOptional. Write each result as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless.string
notionParentIdOptional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead.string

What you get

A structured dataset — each result includes fields like:

abstractauthorscitationsconceptsdoiinstitutionsisOpenAccessoaUrlopenalexIdpublicationDatetitletypeurlvenue

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.

More use cases for OpenAlex Scholarly Works Scraper

Latest CRISPR Papers from OpenAlex, Newest First

Track CRISPR gene-editing research on OpenAlex sorted newest first, with authors, journal, citation counts, and full abstracts for each work.