ahmedhamada0/brain-tumor-detection: papers linking to it

Kaggle · www.kaggle.com/datasets/ahmedhamada0/brain-tumor-detection

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to ahmedhamada0/brain-tumor-detection (https://www.kaggle.com/datasets/ahmedhamada0/brain-tumor-detection), 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 Kaggle dataset ahmedhamada0/brain-tumor-detection in their Crossref records, the first in 2022; most of them (7) in 2025.
By category: AI (15); the journals with the most are Neural Computing and Applications (7), Expert Systems with Applications (3) and Knowledge-Based Systems (1).
4 of the papers build on one another: a later paper cites an earlier one that also links ahmedhamada0/brain-tumor-detection.

By year#

20222026

Papers linking to ahmedhamada0/brain-tumor-detection by publication year
Year	Papers
2022	2
2023	2
2024	2
2025	7
2026	2

Journals#

Journals whose papers link to ahmedhamada0/brain-tumor-detection most
Journal	Papers
Neural Computing and Applications	7
Expert Systems with Applications	3
Knowledge-Based Systems	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.

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
- HMDFF-Net: Hierarchical multi-scale dilated feature fusion network for accurate multiclass diagnosis of brain tumors Expert Systems with Applications, 2025 — cites the paper above
  - HayabusaNet: Hybrid attention-based multiscale fusion CNN for accurate and efficient brain tumor classification in MRI scans Expert Systems with Applications, 2026 — cites the paper above

Papers linking to ahmedhamada0/brain-tumor-detection, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-10-18	Development of hybrid models based on deep learning and optimized machine learning algorithms for brain tumor Multi-Classification	Expert Systems with Applications	Muhammed ÇELİK, Özkan İni̇k	153	cites it
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
2025-03-24	A secure hybrid deep learning framework for brain tumor detection and classification	Journal Of Big Data	Sandeep Kumar Mathivanan, Saravanan Srinivasan, Manjula Sanjay Koti et al.	47	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
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
2025-05-21	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
2025-10-24	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
2025-01-02	DeepCancer: deep learning for brain tumor detection-based application system	Neural Computing and Applications	Suleyman Al-Showarah	7	cites it
2026-02-02	DyC-CLIP: Dynamic context-aware multi-modal prompt learning for zero-shot anomaly detection	Pattern Recognition	Peng Chen, Fangjun Huang, Chao Huang et al.	6	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
2026-06-05	HayabusaNet: Hybrid attention-based multiscale fusion CNN for accurate and efficient brain tumor classification in MRI scans	Expert Systems with Applications	Rizal Dwi Prayogo, Siti Amatullah Karimah, Hidetaka Nambo	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
2025-10-15	Towards building robust models for unimodal and multimodal medical imaging data	Information Fusion	Joy Dhar, Puneet Goyal, Maryam Haghighat et al.	1	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). ahmedhamada0/brain-tumor-detection: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-ahmedhamada0-brain-tumor-detection

@misc{scholar4ai-code-kaggle-ahmedhamada0-brain-tumor-detection,
  author = {{Scholar4AI}},
  title = {ahmedhamada0/brain-tumor-detection: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-ahmedhamada0-brain-tumor-detection}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).