shayanfazeli/heartbeat: papers linking to it

Kaggle · www.kaggle.com/datasets/shayanfazeli/heartbeat

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to shayanfazeli/heartbeat (https://www.kaggle.com/datasets/shayanfazeli/heartbeat), 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 Kaggle dataset shayanfazeli/heartbeat in their Crossref records, the first in 2021; most of them (1) in 2024.
By category: AI (3); the journals with the most are Applied Intelligence (1), Neural Computing and Applications (1) and Expert Systems with Applications (1).

By year#

20212024

Papers linking to shayanfazeli/heartbeat by publication year
Year	Papers
2021	1
2023	1
2024	1

Journals#

Journals whose papers link to shayanfazeli/heartbeat most
Journal	Papers
Applied Intelligence	1
Neural Computing and Applications	1
Expert Systems with Applications	1

Papers linking to shayanfazeli/heartbeat, most cited first
Published	Title	Journal	Authors	Citations	Link
2021-08-10	Hybrid CNN-LSTM deep learning model and ensemble technique for automatic detection of myocardial infarction using big ECG data	Applied Intelligence	Hari Mohan Rai, Kalyan Chatterjee	182	cites it
2024-08-23	WISNet: A deep neural network based human activity recognition system	Expert Systems with Applications	H. Sharen, L. Jani Anbarasi, P. Rukmani et al.	40	cites it
2023-07-19	Importance attribution in neural networks by means of persistence landscapes of time series	Neural Computing and Applications	Aina Ferrà, Carles Casacuberta, Oriol Pujol	4	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). shayanfazeli/heartbeat: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-shayanfazeli-heartbeat

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

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).