masoudnickparvar/brain-tumor-mri-dataset: papers linking to it

Kaggle · www.kaggle.com/datasets/masoudnickparvar/brain-tumor-mri-dataset

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

14 papers in the tracked journals link to the Kaggle dataset masoudnickparvar/brain-tumor-mri-dataset in their Crossref records, the first in 2024; most of them (7) in 2025.
By category: AI (14); the journals with the most are Neural Computing and Applications (7), Knowledge-Based Systems (4) and Expert Systems with Applications (1).
2 of the papers build on one another: a later paper cites an earlier one that also links masoudnickparvar/brain-tumor-mri-dataset.

By year#

20242026

Papers linking to masoudnickparvar/brain-tumor-mri-dataset by publication year
Year	Papers
2024	1
2025	7
2026	6

Journals#

Journals whose papers link to masoudnickparvar/brain-tumor-mri-dataset most
Journal	Papers
Neural Computing and Applications	7
Knowledge-Based Systems	4
Expert Systems with Applications	1
Pattern Recognition	1
Information Fusion	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.

Brain tumor diagnosis using hybrid quantum-classical neural networks Neural Computing and Applications, 2025
- RViT-FusionNet: A local cross-attention feature fusion-based hybrid framework for brain tumor classification Neural Computing and Applications, 2026 — cites the paper above

Papers linking to masoudnickparvar/brain-tumor-mri-dataset, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-02-21	VITALT: a robust and efficient brain tumor detection system using vision transformer with attention and linear transformation	Neural Computing and Applications	S. Poornam, Jeyaraj Jane Rubel Angelina	34	cites it
2025-05-21	HMDFF-Net: Hierarchical multi-scale dilated feature fusion network for accurate multiclass diagnosis of brain tumors	Expert Systems with Applications	Sohaib Asif, Enyu Wang, Vicky Yang Wang et al.	13	cites it
2025-10-13	Dual-functional fractal-fractional Sobel operator for efficient image enhancement and edge detection	Pattern Recognition	K. Gowtham, N. Ramesh Babu, Shanmugam Harshavarthini et al.	12	cites it
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
2025-09-08	Brain tumor diagnosis using hybrid quantum-classical neural networks	Neural Computing and Applications	Deepak Ranga, Sunil Prajapat, Kranti Kumar et al.	5	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
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
2026-01-20	FreqMambaMark: Wavelet-Mamba-driven robust medical image watermarking	Knowledge-Based Systems	Zhongxiang He, Yuling Chen, Yixian Yang et al.	3	cites it
2025-06-18	Automated brain tumor detection using novel hybrid vision transformer and EfficientNetb4 models with comparative analysis	Neural Computing and Applications	S. Selva Karthik, V. Achuthan, Antony Dennis Ananth et al.	2	cites it
2026-04-01	Towards reliable medical unsupervised anomaly detection: A benchmark and dataset for PET/CT with cross-modality knowledge distillation network	Information Fusion	Muhao Xu, Lili Qu, Zihan Nie et al.	1	cites it
2026-02-01	Novel CNN-driven model for brain tumor image categorization	Neural Computing and Applications	Essam Abdellatef, Alshimaa H. Ismail, Rasha M. Al‐Makhlasawy	0	cites it
2026-05-02	Enhanced brain tumour detection from MRI images utilizing interpretable generalized additive neural network optimized with parrot optimization	Knowledge-Based Systems	Ms. S. Sandhya, M. V. Chaitanya Kumar, S. K. Susee	0	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). masoudnickparvar/brain-tumor-mri-dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-masoudnickparvar-brain-tumor-mri-dataset

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

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