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

Kaggle · www.kaggle.com/datasets/blastchar/telco-customer-churn

← Code and data repositories cited in research papers

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.

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#

20242025

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	1
Knowledge and Information Systems	1
Expert Systems with Applications	1
Journal Of Big Data	1

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	Journal Of Big Data	I Nyoman Mahayasa Adiputra, Paweena Wanchai	29	cites it
2025-06-17	Learning ensembles of interpretable simple structure	Annals of Operations Research	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	Expert Systems with Applications	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	Knowledge and Information Systems	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

@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}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).