mohamedhanyyy/chest-ctscan-images: papers linking to it

Kaggle · www.kaggle.com/datasets/mohamedhanyyy/chest-ctscan-images

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to mohamedhanyyy/chest-ctscan-images (https://www.kaggle.com/datasets/mohamedhanyyy/chest-ctscan-images), 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 mohamedhanyyy/chest-ctscan-images in their Crossref records, the first in 2023; most of them (2) in 2025.
By category: AI (4); the journals with the most are Expert Systems with Applications (2), 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 mohamedhanyyy/chest-ctscan-images.

By year#

20232025

Papers linking to mohamedhanyyy/chest-ctscan-images by publication year
Year	Papers
2023	2
2025	2

Journals#

Journals whose papers link to mohamedhanyyy/chest-ctscan-images most
Journal	Papers
Expert Systems with Applications	2
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.

Lung cancer detection from CT scans using modified DenseNet with feature selection methods and ML classifiers Expert Systems with Applications, 2023
- Deep Learning Innovations in the Detection of Lung Cancer: Advances, Trends, and Open Challenges Cognitive Computation, 2025 — cites the paper above

Papers linking to mohamedhanyyy/chest-ctscan-images, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-03-25	Lung cancer detection from CT scans using modified DenseNet with feature selection methods and ML classifiers	Expert Systems with Applications	Madhusudan G. Lanjewar, Kamini G. Panchbhai, Panem Charanarur	124	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
2023-10-05	Semi-Blind watermarking using convolutional attention-based turtle shell matrix for tamper detection and recovery of medical images	Expert Systems with Applications	Aberna P, Agilandeeswari Loganathan	36	cites it
2025-03-18	Enhancing the efficiency of lung cancer screening: predictive models utilizing deep learning from CT scans	Neural Computing and Applications	Medhat A. Tawfeek, Ibrahim Alrashdi, Madallah Alruwaili et al.	23	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). mohamedhanyyy/chest-ctscan-images: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-mohamedhanyyy-chest-ctscan-images

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

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