---
title: "brain tumor dataset: papers citing this dataset"
description: "15 papers in the tracked journals link to the figshare dataset brain tumor dataset in their Crossref records, the first in 2021; most of them (4) in 2025."
url: https://scholar4ai.com/code/figshare-1512427
markdown_url: https://scholar4ai.com/code/figshare-1512427.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "15 papers in the tracked journals link to the figshare dataset brain tumor dataset in their Crossref records, the first in 2021; most of them (4) 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)
---

# brain tumor dataset: papers linking to it

Research papers in the 480 tracked journals that link to brain tumor dataset (https://doi.org/10.6084/m9.figshare.1512427), 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.

- figshare
- Dataset
- 2024
- https://doi.org/10.6084/m9.figshare.1512427

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

## Key findings

- 15 papers in the tracked journals link to the figshare dataset brain tumor dataset in their Crossref records, the first in 2021; most of them (4) in 2025.
- By category: AI (15); the journals with the most are Neural Computing and Applications (10), Knowledge-Based Systems (2) and Artificial Intelligence Review (2).
- 3 of the papers build on one another: a later paper cites an earlier one that also links brain tumor dataset.

## By year

*Papers linking to brain tumor dataset by publication year*

| Year | Papers |
|---|---:|
| 2021 | 1 |
| 2022 | 3 |
| 2023 | 4 |
| 2024 | 1 |
| 2025 | 4 |
| 2026 | 2 |

## Journals

*Journals whose papers link to brain tumor dataset most*

| Journal | Papers |
|---|---:|
| [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 10 |
| [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 2 |
| [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2 |
| [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.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
  - [An integrated convolutional neural network with attention guidance for improved performance of medical image classification](https://doi.org/10.1007/s00521-023-09164-x) (Neural Computing and Applications, 2023) — cites the paper above

## Papers

*Papers linking to brain tumor dataset, most cited first*

| Published | Title | Journal | Authors | Citations | Link |
|---|---|---|---|---:|---|
| 2022-09-17 | [Automatic captioning for medical imaging (MIC): a rapid review of literature](https://doi.org/10.1007/s10462-022-10270-w) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Djamila Romaissa Beddiar, Mourad Oussalah, Tapio Seppänen | 101 | 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 |
| 2025-02-06 | [Quantum computational infusion in extreme learning machines for early multi-cancer detection](https://doi.org/10.1186/s40537-024-01050-0) | [Journal Of Big Data](https://scholar4ai.com/journals/journal-of-big-data.md) | Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah et al. | 50 | cites it |
| 2024-02-21 | [VITALT: a robust and efficient brain tumor detection system using vision transformer with attention and linear transformation](https://doi.org/10.1007/s00521-023-09306-1) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | S. Poornam, Jeyaraj Jane Rubel Angelina | 34 | cites it |
| 2023-03-04 | [YoDenBi-NET: YOLO + DenseNet + Bi-LSTM-based hybrid deep learning model for brain tumor classification](https://doi.org/10.1007/s00521-023-08395-2) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Abdülkadir Karacı, Kemal Akyol | 30 | cites it |
| 2021-11-30 | [A survey on artificial intelligence techniques for chronic diseases: open issues and challenges](https://doi.org/10.1007/s10462-021-10084-2) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | Keyur Patel, Chinmay Mistry, Dev Mehta et al. | 26 | cites it |
| 2022-02-02 | [An improved hybrid classification of brain tumor MRI images based on conglomeration feature extraction techniques](https://doi.org/10.1007/s00521-022-06929-8) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Twinkle Bansal, Neeru Jindal | 26 | cites it |
| 2023-11-20 | [An integrated convolutional neural network with attention guidance for improved performance of medical image classification](https://doi.org/10.1007/s00521-023-09164-x) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Coşku Öksüz, Oğuzhan Urhan, M. Kemal Güllü | 23 | 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 |
| 2025-10-24 | [Multi-teacher knowledge distillation and ensemble algorithm for efficient brain tumor classification in resource-constrained environments with explainable AI](https://doi.org/10.1016/j.knosys.2025.114711) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Md. Samiul Alim, Mahir Shahriar Tamim, Shuvo Sarkar et al. | 9 | cites it |
| 2023-11-15 | [Improved content-based brain tumor retrieval for magnetic resonance images using weight initialization framework with densely connected deep neural network](https://doi.org/10.1007/s00521-023-09149-w) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Vibhav Prakash Singh, Aman Verma, Dushyant Kumar Singh et al. | 5 | 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 |
| 2025-06-18 | [Automated brain tumor detection using novel hybrid vision transformer and EfficientNetb4 models with comparative analysis](https://doi.org/10.1007/s00521-025-11335-x) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | S. Selva Karthik, V. Achuthan, Antony Dennis Ananth et al. | 2 | cites it |
| 2026-05-15 | [EfficientMedFormer: A directional decomposition approach for lightweight medical image classification](https://doi.org/10.1016/j.knosys.2026.116200) | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | Seongchan Park, 김진빈, Seunghyun Lee et al. | 2 | cites it |
| 2026-10-01 | [Enhancing clinical trust in brain tumor MRI: a meta-analysis of AI classification, segmentation, and explainability](https://doi.org/10.1007/s00521-026-12560-8) | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | Kashif Mazhar, Pragya Dwivedi | 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). brain tumor dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/figshare-1512427

```bibtex
@misc{scholar4ai-code-figshare-1512427,
  author = {{Scholar4AI}},
  title = {brain tumor dataset: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/figshare-1512427}},
  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/).