data-science-bowl-2017: papers linking to it

Kaggle · www.kaggle.com/competitions/data-science-bowl-2017

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to data-science-bowl-2017 (https://www.kaggle.com/competitions/data-science-bowl-2017), 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#

3 papers in the tracked journals link to the Kaggle dataset data-science-bowl-2017 in their Crossref records, the first in 2020; most of them (1) in 2025.
By category: AI (3); the journals with the most are Applied Intelligence (1), Neural Computing and Applications (1) and Cognitive Computation (1).
2 of the papers build on one another: a later paper cites an earlier one that also links data-science-bowl-2017.

By year#

20202025

Papers linking to data-science-bowl-2017 by publication year
Year	Papers
2020	1
2022	1
2025	1

Journals#

Journals whose papers link to data-science-bowl-2017 most
Journal	Papers
Applied Intelligence	1
Neural Computing and Applications	1
Cognitive Computation	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Automatic prognosis of lung cancer using heterogeneous deep learning models for nodule detection and eliciting its morphological features Applied Intelligence, 2020
- Deep Learning Innovations in the Detection of Lung Cancer: Advances, Trends, and Open Challenges Cognitive Computation, 2025 — cites the paper above

Papers linking to data-science-bowl-2017, most cited first
Published	Title	Journal	Authors	Citations	Link
2022-02-01	Literature review: efficient deep neural networks techniques for medical image analysis	Neural Computing and Applications	Mohamed A. Abdou	315	cites it
2020-11-05	Automatic prognosis of lung cancer using heterogeneous deep learning models for nodule detection and eliciting its morphological features	Applied Intelligence	Weilun Wang, Goutam Chakraborty	44	cites it
2025-02-17	Deep Learning Innovations in the Detection of Lung Cancer: Advances, Trends, and Open Challenges	Cognitive Computation	Helena Liz, Áurea Anguera de Sojo Hernández, Sergio D’Antonio Maceiras et al.	39	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). data-science-bowl-2017: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-competition-data-science-bowl-2017

@misc{scholar4ai-code-kaggle-competition-data-science-bowl-2017,
  author = {{Scholar4AI}},
  title = {data-science-bowl-2017: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-competition-data-science-bowl-2017}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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