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

GitHub · 21 stars · 17 forks · created 2020 · github.com/agchung/Actualmed-COVID-chestxray-dataset

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

8 papers in the tracked journals link to the GitHub repository agchung/Actualmed-COVID-chestxray-dataset in their Crossref records, the first in 2021; most of them (5) in 2021.
By category: AI (8); the journals with the most are Neural Computing and Applications (5), Pattern Recognition (1) and Cognitive Computation (1).

By year#

20212026

Papers linking to agchung/Actualmed-COVID-chestxray-dataset by publication year
Year	Papers
2021	5
2023	1
2024	1
2026	1

Journals#

Journals whose papers link to agchung/Actualmed-COVID-chestxray-dataset most
Journal	Papers
Neural Computing and Applications	5
Pattern Recognition	1
Cognitive Computation	1
Expert Systems with Applications	1

Papers linking to agchung/Actualmed-COVID-chestxray-dataset, most cited first
Published	Title	Journal	Authors	Citations	Link
2024-06-12	Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images	Expert Systems with Applications	Satvik Vats, Vikrant Sharma, Karan Singh et al.	392	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
2021-03-02	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
2021-02-25	Triage of potential COVID-19 patients from chest X-ray images using hierarchical convolutional networks	Neural Computing and Applications	Kapal Dev, Sunder Ali Khowaja, Ankur Singh Bist et al.	37	cites it
2021-04-29	A novel augmented deep transfer learning for classification of COVID-19 and other thoracic diseases from X-rays	Neural Computing and Applications	Fouzia Altaf, Syed Mohammed Shamsul Islam, Naeem Khalid Janjua	37	cites it
2023-12-08	MLDC: multi-lung disease classification using quantum classifier and artificial neural networks	Neural Computing and Applications	Riya Arora, G. V. Eswara Rao, Shashwati Banerjea et al.	8	cites it
2026-09-01	AI-driven techniques for thoracic disease classification in chest radiography: A comprehensive review and critical analysis	Neural Computing and Applications	Yosra Didi, Ahlem Walha, Ali Wali	0	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/Actualmed-COVID-chestxray-dataset: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-agchung-actualmed-covid-chestxray-dataset

@misc{scholar4ai-code-github-agchung-actualmed-covid-chestxray-dataset,
  author = {{Scholar4AI}},
  title = {agchung/Actualmed-COVID-chestxray-dataset: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-agchung-actualmed-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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