---
title: "ranaroussi/yfinance: papers citing this GitHub repository"
description: "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."
url: https://scholar4ai.com/code/github-ranaroussi-yfinance
markdown_url: https://scholar4ai.com/code/github-ranaroussi-yfinance.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

# ranaroussi/yfinance: papers linking to it

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.

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

All repositories: https://scholar4ai.com/code.md

## 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

*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](https://scholar4ai.com/journals/computational-economics.md) | 2 |
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 2 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 1 |

## Papers

*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](https://doi.org/10.1007/s00521-025-11586-8) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Yasin Uygun, Emre Sefer | 34 | cites it |
| 2024-11-27 | [Forecasting Crude Oil Prices Using Reservoir Computing Models](https://doi.org/10.1007/s10614-024-10797-w) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 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](https://doi.org/10.1186/s40537-025-01237-z) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Kyungjun Lee, Juyeob Lee, Eunil Park | 4 | cites it |
| 2025-08-28 | [Improving Portfolio Optimization Results with Bandit Networks](https://doi.org/10.1007/s10614-025-11090-0) | [Computational Economics](https://scholar4ai.com/journals/computational-economics.md) | 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](https://doi.org/10.1007/s00521-025-11749-7) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).