sartajbhuvaji/brain-tumor-classification-mri: papers linking to it

Kaggle · www.kaggle.com/datasets/sartajbhuvaji/brain-tumor-classification-mri

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to sartajbhuvaji/brain-tumor-classification-mri (https://www.kaggle.com/datasets/sartajbhuvaji/brain-tumor-classification-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#

11 papers in the tracked journals link to the Kaggle dataset sartajbhuvaji/brain-tumor-classification-mri in their Crossref records, the first in 2022; most of them (3) in 2025.
By category: AI (11); the journals with the most are Neural Computing and Applications (7), Expert Systems with Applications (1) and Neural Networks (1).
3 of the papers build on one another: a later paper cites an earlier one that also links sartajbhuvaji/brain-tumor-classification-mri.

By year#

20222026

Papers linking to sartajbhuvaji/brain-tumor-classification-mri by publication year
Year	Papers
2022	2
2023	1
2024	3
2025	3
2026	2

Journals#

Journals whose papers link to sartajbhuvaji/brain-tumor-classification-mri most
Journal	Papers
Neural Computing and Applications	7
Expert Systems with Applications	1
Neural Networks	1
Knowledge-Based Systems	1
Artificial Intelligence Review	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.

An attention-guided convolutional neural network for automated classification of brain tumor from MRI Neural Computing and Applications, 2022
- A novel multi-class brain tumor classification method based on unsupervised PCANet features Neural Computing and Applications, 2023 — cites the paper above
- Enhanced magnetic resonance imaging feature extraction for precise brain tumor classification using dual deep convolutional networks Knowledge-Based Systems, 2025 — cites the paper above

Papers linking to sartajbhuvaji/brain-tumor-classification-mri, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-11-20	Explainable ensemble deep learning-based model for brain tumor detection and classification	Neural Computing and Applications	Khalid Mohamed Hosny, Mahmoud Mohammed, Rania A. Salama et al.	85	cites it
2022-09-01	An attention-guided convolutional neural network for automated classification of brain tumor from MRI	Neural Computing and Applications	Sumeet Saurav, Ayush Sharma, Ravi Saini et al.	82	cites it
2024-02-16	CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection	Neural Networks	Sohaib Asif, Ming Zhao, Yangfan Li et al.	36	cites it
2022-12-15	A variate brain tumor segmentation, optimization, and recognition framework	Artificial Intelligence Review	Hossam Magdy Balaha, Asmaa El-Sayed Hassan	33	cites it
2023-02-28	A novel multi-class brain tumor classification method based on unsupervised PCANet features	Neural Computing and Applications	Ahmed I. Shahin, Saleh Aly, Walaa Aly	13	cites it
2025-06-03	Coupling of a lightweight model of reduced convolutional autoencoder with linear SVM classifier to detect brain tumours on FPGA	Expert Systems with Applications	Soumita Chatterjee, Soumya Pandit, Arpita Das	7	cites it
2025-10-10	Enhanced magnetic resonance imaging feature extraction for precise brain tumor classification using dual deep convolutional networks	Knowledge-Based Systems	Denis Bernard, Constantino Msigwa, Jaeseok Yun	5	cites it
2024-05-23	ABES: attention bi-directional ensemble SVM for early detection of brain tumors	Neural Computing and Applications	Erana Veerappa Dinesh Subramaniam, K. Valarmathi	4	cites it
2025-08-11	Multi-modal MRI data augmentation and attention-based modeling for interpretable brain tumor classification	Neural Computing and Applications	Mubarak A. Alanazi	4	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
2026-06-01	RViT-FusionNet: A local cross-attention feature fusion-based hybrid framework for brain tumor classification	Neural Computing and Applications	Naima Islam, Sajeeb Kumar Ray, Md. Anwar Hossain et al.	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). sartajbhuvaji/brain-tumor-classification-mri: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-sartajbhuvaji-brain-tumor-classification-mri

@misc{scholar4ai-code-kaggle-sartajbhuvaji-brain-tumor-classification-mri,
  author = {{Scholar4AI}},
  title = {sartajbhuvaji/brain-tumor-classification-mri: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-sartajbhuvaji-brain-tumor-classification-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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