ranaroussi/yfinance: papers linking to it

GitHub · 25,801 stars · 3,477 forks · Python · license Apache-2.0 · created 2017 · github.com/ranaroussi/yfinance

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to ranaroussi/yfinance (https://github.com/ranaroussi/yfinance), 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#

5 papers in the tracked journals link to the GitHub repository ranaroussi/yfinance in their Crossref records, the first in 2024; most of them (3) in 2025.
By category: AI (3) and Economics (2); the journals with the most are Computational Economics (2), Neural Computing and Applications (2) and Journal Of Big Data (1).

By year#

20242026

Papers linking to ranaroussi/yfinance by publication year
Year	Papers
2024	1
2025	3
2026	1

Journals#

Journals whose papers link to ranaroussi/yfinance most
Journal	Papers
Computational Economics	2
Neural Computing and Applications	2
Journal Of Big Data	1

Papers linking to ranaroussi/yfinance, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-09-08	Financial asset price prediction with graph neural network-based temporal deep learning models	Neural Computing and Applications	Yasin Uygun, Emre Sefer	34	cites it
2024-11-27	Forecasting Crude Oil Prices Using Reservoir Computing Models	Computational Economics	Kaushal Kumar	8	cites it
2025-07-17	TFBlender: a hybrid time series attention model with data-driven macroeconomic perspectives for ELS Knock-In prediction	Journal Of Big Data	Kyungjun Lee, Juyeob Lee, Eunil Park	4	cites it
2025-08-28	Improving Portfolio Optimization Results with Bandit Networks	Computational Economics	Gustavo de Freitas Fonseca, Lucas Coelho e Silva, Paulo André Lima de Castro	1	cites it
2026-01-01	An end-to-end multi agent AI system for personal finance: synthetic data generation, budget optimization, and investment advisory	Neural Computing and Applications	Smit Snehal Pancholi, Aman Jaglan, Nemi Makadia et al.	1	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). ranaroussi/yfinance: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-ranaroussi-yfinance

@misc{scholar4ai-code-github-ranaroussi-yfinance,
  author = {{Scholar4AI}},
  title = {ranaroussi/yfinance: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-ranaroussi-yfinance}},
  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).