Scholar4AI Updated 2026-11-03 14:43 UTC+09:00

Curated Dataset for COVID-19 Posterior-Anterior Chest Radiography Images (X-Rays).: papers linking to it

Mendeley Data · Dataset · 2020 · data.mendeley.com/datasets/9xkhgts2s6

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to Curated Dataset for COVID-19 Posterior-Anterior Chest Radiography Images (X-Rays). (https://data.mendeley.com/datasets/9xkhgts2s6), 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.

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Key findings#

  • 3 papers in the tracked journals link to the Mendeley Data dataset Curated Dataset for COVID-19 Posterior-Anterior Chest Radiography Images (X-Rays). in their Crossref records, the first in 2023; most of them (2) in 2023.
  • By category: AI (3); the journals with the most are Neural Computing and Applications (2) and Knowledge-Based Systems (1).

By year#

2023: 2 papers2025: 1 paper
20232025
Papers linking to Curated Dataset for COVID-19 Posterior-Anterior Chest Radiography Images (X-Rays). by publication year
YearPapers
20232
20251

Journals#

Journals whose papers link to Curated Dataset for COVID-19 Posterior-Anterior Chest Radiography Images (X-Rays). most
JournalPapers
Neural Computing and Applications2
Knowledge-Based Systems1
Papers linking to Curated Dataset for COVID-19 Posterior-Anterior Chest Radiography Images (X-Rays)., most cited first
PublishedTitleJournalAuthorsCitationsLink
2023-05-27A survey on deep learning models for detection of COVID-19Neural Computing and ApplicationsJavad Mozaffari, Abdollah Amirkhani, Shahriar B. Shokouhi30cites it
2023-01-24Lightweight ResGRU: a deep learning-based prediction of SARS-CoV-2 (COVID-19) and its severity classification using multimodal chest radiography imagesNeural Computing and ApplicationsMughees Ahmad, Usama Ijaz Bajwa, Yasar Mehmood et al.20cites it
2025-08-19Integrated deep learning-based IRACE and convolutional neural networks for chest X-ray image classificationKnowledge-Based SystemsNagwan M. Abdel Samee, Essam Halim Houssein, Eman Saber et al.2cites 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). Curated Dataset for COVID-19 Posterior-Anterior Chest Radiography Images (X-Rays).: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/mendeley-9xkhgts2s6

@misc{scholar4ai-code-mendeley-9xkhgts2s6,
  author = {{Scholar4AI}},
  title = {Curated Dataset for COVID-19 Posterior-Anterior Chest Radiography Images (X-Rays).: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/mendeley-9xkhgts2s6}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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