subirbiswas19/skin-disease-dataset: papers linking to it

Kaggle · www.kaggle.com/datasets/subirbiswas19/skin-disease-dataset

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to subirbiswas19/skin-disease-dataset (https://www.kaggle.com/datasets/subirbiswas19/skin-disease-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#

3 papers in the tracked journals link to the Kaggle dataset subirbiswas19/skin-disease-dataset in their Crossref records, the first in 2024; most of them (2) in 2025.
By category: AI (3); the journals with the most are Expert Systems with Applications (1), Cognitive Computation (1) and Neural Networks (1).

By year#

20242025

Papers linking to subirbiswas19/skin-disease-dataset by publication year
Year	Papers
2024	1
2025	2

Journals#

Journals whose papers link to subirbiswas19/skin-disease-dataset most
Journal	Papers
Expert Systems with Applications	1
Cognitive Computation	1
Neural Networks	1

Papers linking to subirbiswas19/skin-disease-dataset, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-02-16	CGO-ensemble: Chaos game optimization algorithm-based fusion of deep neural networks for accurate Mpox detection	Neural Networks	Sohaib Asif, Ming Zhao, Yangfan Li et al.	36	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
2025-12-26	Automated Detection and Diagnosis of Bacterial Skin Infections using Deep Learning with Segmentation Techniques	Cognitive Computation	Jasdeep Singh, Jasmeen Gill, Yogesh Kumar	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). subirbiswas19/skin-disease-dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-subirbiswas19-skin-disease-dataset

@misc{scholar4ai-code-kaggle-subirbiswas19-skin-disease-dataset,
  author = {{Scholar4AI}},
  title = {subirbiswas19/skin-disease-dataset: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-subirbiswas19-skin-disease-dataset}},
  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).