paultimothymooney/kermany2018: papers linking to it

Kaggle · www.kaggle.com/datasets/paultimothymooney/kermany2018

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to paultimothymooney/kermany2018 (https://www.kaggle.com/datasets/paultimothymooney/kermany2018), 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#

4 papers in the tracked journals link to the Kaggle dataset paultimothymooney/kermany2018 in their Crossref records, the first in 2021; most of them (2) in 2025.
By category: AI (4); the journals with the most are Expert Systems with Applications (1), Nature Machine Intelligence (1) and Knowledge-Based Systems (1).

By year#

20212025

Papers linking to paultimothymooney/kermany2018 by publication year
Year	Papers
2021	1
2024	1
2025	2

Journals#

Journals whose papers link to paultimothymooney/kermany2018 most
Journal	Papers
Expert Systems with Applications	1
Nature Machine Intelligence	1
Knowledge-Based Systems	1
Neural Computing and Applications	1

Papers linking to paultimothymooney/kermany2018, most cited first
Published	Title	Journal	Authors	Citations	Link
2021-03-01	Code-free deep learning for multi-modality medical image classification	Nature Machine Intelligence	Edward Korot, Zeyu Guan, Daniel Ferraz et al.	171	cites it
2024-02-23	Automated retinal disease classification using hybrid transformer model (SViT) using optical coherence tomography images	Neural Computing and Applications	G. R. Hemalakshmi, M. Murugappan, Mohamed Yacin Sikkandar et al.	46	cites it
2025-11-08	Signal-aware synthesis of tissue polarization uniformity from OCT images guided by an SNR-based heuristic	Expert Systems with Applications	Yuheng Wang, Chris Zhou, Jiayue Cai et al.	2	cites it
2025-09-23	Truncated MobileNetV2 Sparse Vision Graph Attention Model for Explainable Monkeypox Disease Classification	Knowledge-Based Systems	Mehdhar S. A. M. Al-Gaashani, Abduljabbar S. Ba Mahel, Ammar Muthanna	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). paultimothymooney/kermany2018: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-paultimothymooney-kermany2018

@misc{scholar4ai-code-kaggle-paultimothymooney-kermany2018,
  author = {{Scholar4AI}},
  title = {paultimothymooney/kermany2018: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-paultimothymooney-kermany2018}},
  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).