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Most-Cited Research Papers on Large Language Models

The most-cited scholarly works with "large language models" in the title published since 2020, from OpenAlex: title, year, citation count, field-weighted citation impact, venue, authors, open-access status, DOI and PDF link. For literature reviews, researchers and R&D teams finding the key papers of a field. Change the query or fromYear, or sort by publication date for the newest work.

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OpenAlex Scraper — Academic Papers, Citations, Authors
OpenAlex Scraper — Academic Papers, Citations, Authorsyadroo/openalex-works
Title
Year
Citations
Citations suspect
+6 fields
Text
Number
Boolean
List
Object

Input

Search query:large language models
Search in (works only):title
From year:2020
Sort by:cited_by_count
Max items:25

Output fields

Title
Year
Citations
Citations suspect
FWCI
Venue
Authors
OA status
PDF URL
DOI URL

How it works

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The OpenAlex Scraper — Academic Papers, Citations, Authors Actor is ready to run with the inputs already set for "Most-Cited Research Papers on Large Language Models". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Most-Cited Research Papers on Large Language Models" task

The OpenAlex Scraper — Academic Papers, Citations, Authors Actor will start running based on the input automatically. You can also change all the input fields, like search query, search in (works only), and more, to match your specific use case.

Receive the "Most-Cited Research Papers on Large Language Models" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, year, citations, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Most-Cited Research Papers on Large Language Models" task via API.

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