---
title: "bd2kccd/r-causal: papers citing this GitHub repository"
description: "3 papers in the tracked journals link to the GitHub repository bd2kccd/r-causal in their Crossref records, the first in 2022; most of them (2) in 2022."
url: https://scholar4ai.com/code/github-bd2kccd-r-causal
markdown_url: https://scholar4ai.com/code/github-bd2kccd-r-causal.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "3 papers in the tracked journals link to the GitHub repository bd2kccd/r-causal in their Crossref records, the first in 2022; most of them (2) in 2022. (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)
---

# bd2kccd/r-causal: papers linking to it

Research papers in the 480 tracked journals that link to bd2kccd/r-causal (https://github.com/bd2kccd/r-causal), 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
- 36 stars
- 20 forks
- Java
- created 2016
- https://github.com/bd2kccd/r-causal

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

## Key findings

- 3 papers in the tracked journals link to the GitHub repository bd2kccd/r-causal in their Crossref records, the first in 2022; most of them (2) in 2022.
- By category: AI (3); the journals with the most are Data Mining and Knowledge Discovery (1), Knowledge and Information Systems (1) and Machine Learning (1).

## By year

*Papers linking to bd2kccd/r-causal by publication year*

| Year | Papers |
|---|---:|
| 2022 | 2 |
| 2024 | 1 |

## Journals

*Journals whose papers link to bd2kccd/r-causal most*

| Journal | Papers |
|---|---:|
| [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 1 |
| [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 1 |
| [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 1 |

## Papers

*Papers linking to bd2kccd/r-causal, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-03-16 | [Partitioned hybrid learning of Bayesian network structures](https://doi.org/10.1007/s10994-022-06145-4) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | Jireh Huang, Qing Zhou | 13 | cites it |
| 2022-11-28 | [Hybrid Bayesian network discovery with latent variables by scoring multiple interventions](https://doi.org/10.1007/s10618-022-00882-9) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | Kiattikun Chobtham, Anthony Costa Constantinou, Neville  Kenneth Kitson | 9 | cites it |
| 2024-05-24 | [Tuning structure learning algorithms with out-of-sample and resampling strategies](https://doi.org/10.1007/s10115-024-02111-9) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Kiattikun Chobtham, Anthony Costa Constantinou | 4 | 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). bd2kccd/r-causal: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-bd2kccd-r-causal

```bibtex
@misc{scholar4ai-code-github-bd2kccd-r-causal,
  author = {{Scholar4AI}},
  title = {bd2kccd/r-causal: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-bd2kccd-r-causal}},
  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/).