---
title: "blastchar/telco-customer-churn: papers citing this dataset"
description: "4 papers in the tracked journals link to the Kaggle dataset blastchar/telco-customer-churn in their Crossref records, the first in 2024; most of them (2) in 2025."
url: https://scholar4ai.com/code/kaggle-blastchar-telco-customer-churn
markdown_url: https://scholar4ai.com/code/kaggle-blastchar-telco-customer-churn.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 blastchar/telco-customer-churn in their Crossref records, the first in 2024; most of them (2) 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)
---

# blastchar/telco-customer-churn: papers linking to it

Research papers in the 480 tracked journals that link to blastchar/telco-customer-churn (https://www.kaggle.com/datasets/blastchar/telco-customer-churn), 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/blastchar/telco-customer-churn

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

## Key findings

- 4 papers in the tracked journals link to the Kaggle dataset blastchar/telco-customer-churn in their Crossref records, the first in 2024; most of them (2) in 2025.
- By category: AI (3) and Operations Research (1); the journals with the most are Annals of Operations Research (1), Knowledge and Information Systems (1) and Expert Systems with Applications (1).

## By year

*Papers linking to blastchar/telco-customer-churn by publication year*

| Year | Papers |
|---|---:|
| 2024 | 2 |
| 2025 | 2 |

## Journals

*Journals whose papers link to blastchar/telco-customer-churn most*

| Journal | Papers |
|---|---:|
| [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | 1 |
| [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 1 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | 1 |

## Papers

*Papers linking to blastchar/telco-customer-churn, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2024-09-02 | [CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn prediction](https://doi.org/10.1186/s40537-024-00982-x) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | I Nyoman Mahayasa Adiputra, Paweena Wanchai | 29 | cites it |
| 2025-06-17 | [Learning ensembles of interpretable simple structure](https://doi.org/10.1007/s10479-025-06674-w) | [Annals of Operations Research](https://scholar4ai.com/journals/annals-of-operations-research.md) | Gaurav Arwade, Sigurdur Olafsson | 5 | cites it |
| 2024-12-19 | [Gazelle optimization and conditional variational auto encoder for telecom user service recommendation based on churn analysis](https://doi.org/10.1016/j.eswa.2024.126199) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | Vani Haridasan, K. Hariharanath, Kavitha Muthukumaran | 4 | cites it |
| 2025-07-18 | [An in-depth analysis of KernelSHAP and SamplingSHAP: assessing robustness, error, and efficiency](https://doi.org/10.1007/s10115-025-02541-z) | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | Beyza Aydoğan, Tevfik Aytekin | 3 | 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). blastchar/telco-customer-churn: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-blastchar-telco-customer-churn

```bibtex
@misc{scholar4ai-code-kaggle-blastchar-telco-customer-churn,
  author = {{Scholar4AI}},
  title = {blastchar/telco-customer-churn: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-blastchar-telco-customer-churn}},
  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/).