---
title: "sartajbhuvaji/brain-tumor-classification-mri"
description: "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."
url: https://scholar4ai.com/code/kaggle-sartajbhuvaji-brain-tumor-classification-mri
markdown_url: https://scholar4ai.com/code/kaggle-sartajbhuvaji-brain-tumor-classification-mri.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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. (as of 2026-11-03)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-03T14:43:26+09:00
window: 2026-10-05 to 2026-11-03
source: OpenAlex (CC0)
---

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

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.

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

All repositories: https://scholar4ai.com/code.md

## 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

*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](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 7 |
| [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 1 |
| [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 1 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 1 |
| [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 1 |

## Family tree

Each paper sits under the earlier paper it builds on.

- [An attention-guided convolutional neural network for automated classification of brain tumor from MRI](https://doi.org/10.1007/s00521-022-07742-z) (Neural Computing and Applications, 2022)
  - [A novel multi-class brain tumor classification method based on unsupervised PCANet features](https://doi.org/10.1007/s00521-023-08281-x) (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](https://doi.org/10.1016/j.knosys.2025.114628) (Knowledge-Based Systems, 2025) — cites the paper above

## Papers

*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](https://doi.org/10.1007/s00521-024-10401-0) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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](https://doi.org/10.1007/s00521-022-07742-z) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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](https://doi.org/10.1016/j.neunet.2024.106183) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | Sohaib Asif, Ming Zhao, Yangfan Li et al. | 36 | cites it |
| 2022-12-15 | [A variate brain tumor segmentation, optimization, and recognition framework](https://doi.org/10.1007/s10462-022-10337-8) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 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](https://doi.org/10.1007/s00521-023-08281-x) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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](https://doi.org/10.1016/j.eswa.2025.128444) | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 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](https://doi.org/10.1016/j.knosys.2025.114628) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Denis Bernard, Constantino Msigwa, Jaeseok Yun | 5 | cites it |
| 2024-05-23 | [ABES: attention bi-directional ensemble SVM for early detection of brain tumors](https://doi.org/10.1007/s00521-024-09688-w) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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](https://doi.org/10.1007/s00521-025-11561-3) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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](https://doi.org/10.1007/s00521-026-12105-z) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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](https://doi.org/10.1007/s00521-026-12290-x) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 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

```bibtex
@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}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).