pradeep2665/brain-mri: papers linking to it

Kaggle · www.kaggle.com/datasets/pradeep2665/brain-mri

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to pradeep2665/brain-mri (https://www.kaggle.com/datasets/pradeep2665/brain-mri), 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 pradeep2665/brain-mri in their Crossref records, the first in 2025; most of them (2) in 2026.
By category: AI (3); the journals with the most are Knowledge-Based Systems (1), Expert Systems with Applications (1) and Neural Computing and Applications (1).

By year#

20252026

Papers linking to pradeep2665/brain-mri by publication year
Year	Papers
2025	1
2026	2

Journals#

Journals whose papers link to pradeep2665/brain-mri most
Journal	Papers
Knowledge-Based Systems	1
Expert Systems with Applications	1
Neural Computing and Applications	1

Papers linking to pradeep2665/brain-mri, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-10-24	Multi-teacher knowledge distillation and ensemble algorithm for efficient brain tumor classification in resource-constrained environments with explainable AI	Knowledge-Based Systems	Md. Samiul Alim, Mahir Shahriar Tamim, Shuvo Sarkar et al.	9	cites it
2026-02-03	3D MRI reconstruction and brain tumor diagnosis using deep learning with explainable AI	Expert Systems with Applications	Md Rakhibul Hasan, Shrawman Majumder Rudra, Nayon Karmoker et al.	7	cites it
2026-05-27	Distinguished approach for brain tumor segmentation and classification using U-net and customized convolution neural network in magnetic resonance images	Neural Computing and Applications	S. Karkuzhali, S. Bhuvan Raaj, B. Hariharakrishnan	0	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). pradeep2665/brain-mri: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-pradeep2665-brain-mri

@misc{scholar4ai-code-kaggle-pradeep2665-brain-mri,
  author = {{Scholar4AI}},
  title = {pradeep2665/brain-mri: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-pradeep2665-brain-mri}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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