ECG Images dataset of Cardiac and COVID-19 Patients: papers linking to it

Mendeley Data · Dataset · 2020 · data.mendeley.com/datasets/gwbz3fsgp8

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to ECG Images dataset of Cardiac and COVID-19 Patients (https://data.mendeley.com/datasets/gwbz3fsgp8), 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#

3 papers in the tracked journals link to the Mendeley Data dataset ECG Images dataset of Cardiac and COVID-19 Patients in their Crossref records, the first in 2025; most of them (2) in 2025.
By category: AI (3); the journals with the most are Neural Computing and Applications (2) and Journal Of Big Data (1).

By year#

20252026

Papers linking to ECG Images dataset of Cardiac and COVID-19 Patients by publication year
Year	Papers
2025	2
2026	1

Journals#

Journals whose papers link to ECG Images dataset of Cardiac and COVID-19 Patients most
Journal	Papers
Neural Computing and Applications	2
Journal Of Big Data	1

Papers linking to ECG Images dataset of Cardiac and COVID-19 Patients, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-01-19	Enhancing cardiac diagnostics: a deep learning ensemble approach for precise ECG image classification	Journal Of Big Data	Ahmed Alsayat, Alshimaa Abdelraof Mahmoud, Saad Alanazi et al.	35	cites it
2025-06-30	Adaptive filter-enabled electrocardiogram signals-based myocardial infarction detection using convolutional neural network ensemble model	Neural Computing and Applications	Sourabh Shastri, Sachin Kumar, Vibhakar Mansotra	2	cites it
2026-08-01	A modified YOLO-based deep learning model for accurate ST-elevation myocardial infarction detection in ECG images	Neural Computing and Applications	Roaa Albasrawi, Muhammad Ilyas, Oğuz Bayat	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). ECG Images dataset of Cardiac and COVID-19 Patients: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/mendeley-gwbz3fsgp8

@misc{scholar4ai-code-mendeley-gwbz3fsgp8,
  author = {{Scholar4AI}},
  title = {ECG Images dataset of Cardiac and COVID-19 Patients: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/mendeley-gwbz3fsgp8}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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