---
title: "emineyetm/fake-news-detection-datasets: papers citing it"
description: "4 papers in the tracked journals link to the Kaggle dataset emineyetm/fake-news-detection-datasets in their Crossref records, the first in 2025; most of them (4) in 2025."
url: https://scholar4ai.com/code/kaggle-emineyetm-fake-news-detection-datasets
markdown_url: https://scholar4ai.com/code/kaggle-emineyetm-fake-news-detection-datasets.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "4 papers in the tracked journals link to the Kaggle dataset emineyetm/fake-news-detection-datasets in their Crossref records, the first in 2025; most of them (4) 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)
---

# emineyetm/fake-news-detection-datasets: papers linking to it

Research papers in the 480 tracked journals that link to emineyetm/fake-news-detection-datasets (https://www.kaggle.com/datasets/emineyetm/fake-news-detection-datasets), 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.

- Kaggle
- https://www.kaggle.com/datasets/emineyetm/fake-news-detection-datasets

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

## Key findings

- 4 papers in the tracked journals link to the Kaggle dataset emineyetm/fake-news-detection-datasets in their Crossref records, the first in 2025; most of them (4) in 2025.
- By category: AI (4); the journals with the most are Knowledge and Information Systems (2), Expert Systems with Applications (1) and Cognitive Computation (1).

## By year

*Papers linking to emineyetm/fake-news-detection-datasets by publication year*

| Year | Papers |
|---|---:|
| 2025 | 4 |

## Journals

*Journals whose papers link to emineyetm/fake-news-detection-datasets most*

| Journal | Papers |
|---|---:|
| [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 2 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | 1 |

## Papers

*Papers linking to emineyetm/fake-news-detection-datasets, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2025-04-15 | [AEC: A novel adaptive ensemble classifier with LIME and SHAP-Based interpretability for fake news detection](https://doi.org/10.1016/j.eswa.2025.127751) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Ashima Kukkar, Gagandeep Kaur | 13 | cites it |
| 2025-09-25 | [Advancing fake news combating using machine learning: a hybrid model approach](https://doi.org/10.1007/s10115-025-02588-y) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Zahid Aslam, Malik Muhammad Saad Missen, Arslan Abdul Ghaffar et al. | 13 | cites it |
| 2025-05-19 | [Peeping into the Future: Understanding and Combating Generative AI-Based Fake News](https://doi.org/10.1007/s12559-025-10457-7) | [Cognitive Computation](https://scholar4ai.com/journals/cognitive-computation.md) | Sanjeev Kumar, Siva Sai, Vinay Chamola et al. | 5 | cites it |
| 2025-08-22 | [EnsembleNet: a novel deep ensemble learning model with GANBERT and BiLSTM for automated fake news detection](https://doi.org/10.1007/s10115-025-02558-4) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | B. M. Brinda, C. Rajan, K. Geetha | 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). emineyetm/fake-news-detection-datasets: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-emineyetm-fake-news-detection-datasets

```bibtex
@misc{scholar4ai-code-kaggle-emineyetm-fake-news-detection-datasets,
  author = {{Scholar4AI}},
  title = {emineyetm/fake-news-detection-datasets: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-emineyetm-fake-news-detection-datasets}},
  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/).