agchung/Figure1-COVID-chestxray-dataset: papers linking to it

GitHub · 36 stars · 25 forks · created 2020 · github.com/agchung/Figure1-COVID-chestxray-dataset

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Research papers in the 480 tracked journals that link to agchung/Figure1-COVID-chestxray-dataset (https://github.com/agchung/Figure1-COVID-chestxray-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#

7 papers in the tracked journals link to the GitHub repository agchung/Figure1-COVID-chestxray-dataset in their Crossref records, the first in 2020; most of them (5) in 2021.
By category: AI (6) and Information Systems (1); the journals with the most are Applied Intelligence (2), Pattern Recognition (1) and Cognitive Computation (1).

By year#

20202022

Papers linking to agchung/Figure1-COVID-chestxray-dataset by publication year
Year	Papers
2020	1
2021	5
2022	1

Journals#

Journals whose papers link to agchung/Figure1-COVID-chestxray-dataset most
Journal	Papers
Applied Intelligence	2
Pattern Recognition	1
Cognitive Computation	1
Journal Of Big Data	1
International Journal of Information Management Data Insights	1

Papers linking to agchung/Figure1-COVID-chestxray-dataset, most cited first
Published	Title	Journal	Authors	Citations	Link
2021-01-29	A survey on generative adversarial networks for imbalance problems in computer vision tasks	Journal Of Big Data	Vignesh Sampath, Iñaki Maurtua, Juan José Aguilar Martín et al.	262	cites it
2020-09-21	OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19	Applied Intelligence	Tripti Goel, R. Murugan, Seyedali Mirjalili et al.	178	cites it
2021-08-25	SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network	Pattern Recognition	Aayush Kumar, Ayush R Tripathi, Suresh Chandra Satapathy et al.	123	cites it
2021-01-08	COVIDScreen: explainable deep learning framework for differential diagnosis of COVID-19 using chest X-rays	Neural Computing and Applications	Rajeev Kumar Singh, Rohan Pandey, Rishie Nandhan Babu	110	cites it
2021-01-06	Intelligent system for COVID-19 prognosis: a state-of-the-art survey	Applied Intelligence	Janmenjoy Nayak, Bighnaraj Naik, Paidi Dinesh et al.	51	cites it
2021-03-02	Deep Learning–Driven Automated Detection of COVID-19 from Radiography Images: a Comparative Analysis	Cognitive Computation	Sejuti Rahman, Sujan Chandra Sarker, Md Abdullah Al Miraj et al.	48	cites it
2022-07-19	A Review Study of the Deep Learning Techniques used for the Classification of Chest Radiological Images for COVID-19 Diagnosis	International Journal of Information Management Data Insights	Yu Wang, Carol Anne Hargreaves	17	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). agchung/Figure1-COVID-chestxray-dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-agchung-figure1-covid-chestxray-dataset

@misc{scholar4ai-code-github-agchung-figure1-covid-chestxray-dataset,
  author = {{Scholar4AI}},
  title = {agchung/Figure1-COVID-chestxray-dataset: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-agchung-figure1-covid-chestxray-dataset}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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