ml-workgroup/covid-19-image-repository: papers linking to it

GitHub · 45 stars · 19 forks · Python · created 2020 · github.com/ml-workgroup/covid-19-image-repository

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to ml-workgroup/covid-19-image-repository (https://github.com/ml-workgroup/covid-19-image-repository), 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 GitHub repository ml-workgroup/covid-19-image-repository in their Crossref records, the first in 2022; most of them (2) in 2023.
By category: AI (4); the journals with the most are Nature Machine Intelligence (1), Expert Systems with Applications (1) and Neural Computing and Applications (1).

By year#

20222025

Papers linking to ml-workgroup/covid-19-image-repository by publication year
Year	Papers
2022	1
2023	2
2025	1

Journals#

Journals whose papers link to ml-workgroup/covid-19-image-repository most
Journal	Papers
Nature Machine Intelligence	1
Expert Systems with Applications	1
Neural Computing and Applications	1
Cognitive Computation	1

Papers linking to ml-workgroup/covid-19-image-repository, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-05-27	Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19	Expert Systems with Applications	Md. Nahiduzzaman, Md. Omaer Faruq Goni, Rakibul Hassan et al.	74	cites it
2022-07-07	WatMIF: Multimodal Medical Image Fusion-Based Watermarking for Telehealth Applications	Cognitive Computation	Kedar Nath Singh, Om Prakash Singh, Amit Kumar Singh et al.	48	cites it
2025-03-17	Explainable AI reveals Clever Hans effects in unsupervised learning models	Nature Machine Intelligence	Jacob Kauffmann, Jonas Dippel, Lukas Ruff et al.	35	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

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). ml-workgroup/covid-19-image-repository: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-ml-workgroup-covid-19-image-repository

@misc{scholar4ai-code-github-ml-workgroup-covid-19-image-repository,
  author = {{Scholar4AI}},
  title = {ml-workgroup/covid-19-image-repository: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-ml-workgroup-covid-19-image-repository}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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