How much does Top-Cited Deep Learning Papers from OpenAlex cost?

$0.002 per work — $2 per 1,000. Billing is pay-per-result on your own Apify account: no subscription, and a run that returns nothing costs nothing.

What do I need to provide to run Top-Cited Deep Learning Papers from OpenAlex?

Nothing is mandatory — every field has a working default. The settings you will usually change are Search query, Sort by, From publication date, Raw OpenAlex filter (advanced), Max works.

Do I need to code to use Top-Cited Deep Learning Papers from OpenAlex?

No. It is a ready-to-run cloud tool: open it on Apify, fill in the form, click Run, and download the results. Everything runs on Apify's servers, so there is nothing to install or host.

Top-Cited Deep Learning Papers from OpenAlex

Q: What data does Top-Cited Deep Learning Papers from OpenAlex return?

A structured dataset with 15 fields per record, including abstract, authors, citations, concepts, doi, institutions, isOpenAccess, oaUrl, openalexId, publicationDate, title, type. Export it as JSON, CSV or Excel, or send it straight to your app, a database or an AI agent.

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

$0.002 per work ($2 / 1,000)

Run this use case nowRun on Apify →

How it works

1
Open it on Apify
Hit Run on Apify — it opens the tool in the cloud, no install.
2
Set the inputs
Adjust query, sort, fromDate (sensible defaults are pre-filled).
3
Click Run
The tool runs on Apify’s cloud and collects the data for you.
4
Export the results
Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Pricing

$0.002 per work = $2 per 1,000

You are charged for	When	Price
Work returned	Charged per scholarly work returned.	$0.002

Pay-per-event pricing: you are billed per result, not per subscription — a run that returns nothing costs nothing beyond the start fee. Billing is handled by Apify on your own account. These are the live Apify store prices, in effect since 2026-06-13, and they are what you are actually charged.

Inputs

Field	What it does	Type
`query`	Keywords to search OpenAlex works for (title, abstract and fulltext are searched), e.g. "machine learning", "crispr gene editing". Required.	string
`sort`	How to order results: Relevance (best match for the query), Citations (most-cited first), or Date (newest first).	string
`fromDate`	Optional. Only return works published on or after this date (YYYY-MM-DD, e.g. 2023-01-01). Adds a from_publication_date filter.	string
`filter`	Optional 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
`maxItems`	Maximum number of works to return. Cursor pagination fetches 50 per page until this many unique works are collected.	integer
`notionConnector`	Optional. 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
`notionParentId`	Optional. 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:

abstractauthorscitationsconceptsdoiinstitutionsisOpenAccessoaUrlopenalexIdpublicationDatetitletypeurlvenueyear

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.

Built on OpenAlex Scholarly Works Scraper — see every input, output field and price on the tool page.

Where this tool sits

Categories: Developer & Research Tools
Platforms: Academic & Research