brain tumor dataset: papers linking to it

figshare · Dataset · 2024 · doi.org/10.6084/m9.figshare.1512427

← Code and data repositories cited in research papers

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.

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#

20212026

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	10
Knowledge-Based Systems	2
Artificial Intelligence Review	2
Journal Of Big Data	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
- An integrated convolutional neural network with attention guidance for improved performance of medical image classification Neural Computing and Applications, 2023 — cites the paper above

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	Artificial Intelligence Review	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	Neural Computing and Applications	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	Journal Of Big Data	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	Neural Computing and Applications	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	Neural Computing and Applications	Abdülkadir Karacı, Kemal Akyol	30	cites it
2021-11-30	A survey on artificial intelligence techniques for chronic diseases: open issues and challenges	Artificial Intelligence Review	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	Neural Computing and Applications	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	Neural Computing and Applications	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	Neural Computing and Applications	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	Knowledge-Based Systems	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	Neural Computing and Applications	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	Neural Computing and Applications	Mubarak A. Alanazi	4	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
2026-05-15	EfficientMedFormer: A directional decomposition approach for lightweight medical image classification	Knowledge-Based Systems	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	Neural Computing and Applications	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

@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}
}

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