yoheinakajima/babyagi: papers linking to it

GitHub · 22,353 stars · 2,837 forks · Python · created 2023 · github.com/yoheinakajima/babyagi

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to yoheinakajima/babyagi (https://github.com/yoheinakajima/babyagi), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

3 papers in the tracked journals link to the GitHub repository yoheinakajima/babyagi in their Crossref records, the first in 2026; most of them (3) in 2026.
By category: AI (3); the journals with the most are Cognitive Computation (1), Expert Systems with Applications (1) and Information Fusion (1).

By year#

20262026

Papers linking to yoheinakajima/babyagi by publication year
Year	Papers
2026	3

Journals#

Journals whose papers link to yoheinakajima/babyagi most
Journal	Papers
Cognitive Computation	1
Expert Systems with Applications	1
Information Fusion	1

Papers linking to yoheinakajima/babyagi, most cited first
Published	Title	Journal	Authors	Citations	Link
2026-05-09	Evaluating and regulating agentic AI: A study of benchmarks, metrics, and regulation	Information Fusion	Azib Farooq, Shaina Raza, Nazmul Karim et al.	8	cites it
2026-08-24	From Language Models to Agentic AI: A Survey of Autonomous, Action-Enabled, and Collaborative LLM Agents	Cognitive Computation	Sparsh Bajoria -, Sumit Ranjan, Adhitya M et al.	2	cites it
2026-06-12	RepoCBench: A benchmark for C-oriented repository-level code generation with large language models and agents	Expert Systems with Applications	Yubo Zhang, Kaichun Yao, Libo Zhang et al.	0	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). yoheinakajima/babyagi: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-yoheinakajima-babyagi

@misc{scholar4ai-code-github-yoheinakajima-babyagi,
  author = {{Scholar4AI}},
  title = {yoheinakajima/babyagi: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-yoheinakajima-babyagi}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).