ucsd-ai4h/covid-ct: papers linking to it

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to ucsd-ai4h/covid-ct (https://github.com/ucsd-ai4h/covid-ct), 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#

5 papers in the tracked journals link to the GitHub repository ucsd-ai4h/covid-ct in their Crossref records, the first in 2020; most of them (2) in 2021.
By category: AI (5); the journals with the most are Expert Systems with Applications (1), Applied Intelligence (1) and Cognitive Computation (1).

By year#

20202022

Papers linking to ucsd-ai4h/covid-ct by publication year
Year	Papers
2020	2
2021	2
2022	1

Journals#

Journals whose papers link to ucsd-ai4h/covid-ct most
Journal	Papers
Expert Systems with Applications	1
Applied Intelligence	1
Cognitive Computation	1
Knowledge-Based Systems	1
Neural Computing and Applications	1

Papers linking to ucsd-ai4h/covid-ct, most cited first
Published	Title	Journal	Authors	Citations	Link
2020-08-20	Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices	Applied Intelligence	Sakshi Ahuja, Bijaya Ketan Panigrahi, Nilanjan Dey et al.	380	cites it
2020-07-18	A new COVID-19 Patients Detection Strategy (CPDS) based on hybrid feature selection and enhanced KNN classifier	Knowledge-Based Systems	Warda M. Shaban, Asmaa H. Rabie, Ahmed I. Saleh et al.	227	cites it
2021-01-19	Efficient deep learning approach for augmented detection of Coronavirus disease	Neural Computing and Applications	Ahmed Sedik, Mohamed Adel Hammad, Fathi E. Abd El‐Samie et al.	188	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
2022-02-24	A novel algorithm for detection of COVID-19 by analysis of chest CT images using Hopfield neural network	Expert Systems with Applications	Saeed Sani, Hossein Ebrahimzadeh Shermeh	15	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). ucsd-ai4h/covid-ct: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-ucsd-ai4h-covid-ct

@misc{scholar4ai-code-github-ucsd-ai4h-covid-ct,
  author = {{Scholar4AI}},
  title = {ucsd-ai4h/covid-ct: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-ucsd-ai4h-covid-ct}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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