prashant268/chest-xray-covid19-pneumonia: papers linking to it

Kaggle · www.kaggle.com/datasets/prashant268/chest-xray-covid19-pneumonia

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to prashant268/chest-xray-covid19-pneumonia (https://www.kaggle.com/datasets/prashant268/chest-xray-covid19-pneumonia), 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 Kaggle dataset prashant268/chest-xray-covid19-pneumonia in their Crossref records, the first in 2020; most of them (1) in 2026.
By category: AI (4); the journals with the most are Applied Intelligence (2), Expert Systems with Applications (1) and Neural Computing and Applications (1).
2 of the papers build on one another: a later paper cites an earlier one that also links prashant268/chest-xray-covid19-pneumonia.

By year#

20202026

Papers linking to prashant268/chest-xray-covid19-pneumonia by publication year
Year	Papers
2020	1
2023	1
2025	1
2026	1

Journals#

Journals whose papers link to prashant268/chest-xray-covid19-pneumonia most
Journal	Papers
Applied Intelligence	2
Expert Systems with Applications	1
Neural Computing and Applications	1

Family tree#

Each paper sits under the earlier paper it builds on; papers that cite no other paper here start a branch of their own.

Deep learning based detection and analysis of COVID-19 on chest X-ray images Applied Intelligence, 2020
- Feature selection of pre-trained shallow CNN using the QLESCA optimizer: COVID-19 detection as a case study Applied Intelligence, 2023 — cites the paper above

Papers linking to prashant268/chest-xray-covid19-pneumonia, most cited first
Published	Title	Journal	Authors	Citations	Link
2020-10-09	Deep learning based detection and analysis of COVID-19 on chest X-ray images	Applied Intelligence	Rachna Jain, Meenu Gupta, Soham Taneja et al.	519	cites it
2025-03-11	A multi-stage deep learning approach for comprehensive lung disease classification from x-ray images	Expert Systems with Applications	G. Divya Deepak, Subraya Krishna Bhat	43	cites it
2023-02-06	Feature selection of pre-trained shallow CNN using the QLESCA optimizer: COVID-19 detection as a case study	Applied Intelligence	Qusay Shihab Hamad, Hussein Samma, Shahrel Azmin Suandi	18	cites it
2026-02-10	Mining hidden layers in CNN for certainty prediction in medical imaging	Neural Computing and Applications	Yasanthi Malika Hirimutugoda, T. P. Sliva, N. Mihirini Wagarachchi	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). prashant268/chest-xray-covid19-pneumonia: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-prashant268-chest-xray-covid19-pneumonia

@misc{scholar4ai-code-kaggle-prashant268-chest-xray-covid19-pneumonia,
  author = {{Scholar4AI}},
  title = {prashant268/chest-xray-covid19-pneumonia: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-prashant268-chest-xray-covid19-pneumonia}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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