Most Cited Deep Learning Papers, Ranked by Citations
The foundational reading list pulled from OpenAlex with authors, venue, year and citation count. Abstracts come through on most works, not quite all of them.
What this run is set to
The settings saved on this example. Every one of them is editable once you open it on Apify — these are a starting point, not a limit.
| Setting | Value | What it does |
|---|---|---|
Search query | deep learning | Keywords to search OpenAlex works for (title, abstract and fulltext are searched), e.g. "machine learning", "crispr gene editing". |
Sort by | citations | How to order results: Relevance (best match for the query), Citations (most-cited first), or Date (newest first). |
Max works | 50 | Maximum number of works to return. |
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. 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.
What you get
A structured dataset — each result includes fields like:
abstractauthorscitationsconceptsdoiinstitutionsisOpenAccessoaUrlopenalexIdpublicationDatetitletypeurlvenueyearExport 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
Built on OpenAlex Scholarly Works Scraper — every input, output field, price and the full how-to are on the tool page.
Where this tool sits
- Categories
- Developer & Research Tools
- Platforms
- Academic & Research