uwrfkaggler/ravdess-emotional-speech-audio: papers linking to it

Kaggle · www.kaggle.com/datasets/uwrfkaggler/ravdess-emotional-speech-audio

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to uwrfkaggler/ravdess-emotional-speech-audio (https://www.kaggle.com/datasets/uwrfkaggler/ravdess-emotional-speech-audio), 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 uwrfkaggler/ravdess-emotional-speech-audio in their Crossref records, the first in 2025; most of them (2) in 2025.
By category: AI (3); the journals with the most are Knowledge-Based Systems (2) and Expert Systems with Applications (1).

By year#

20252026

Papers linking to uwrfkaggler/ravdess-emotional-speech-audio by publication year
Year	Papers
2025	2
2026	1

Journals#

Journals whose papers link to uwrfkaggler/ravdess-emotional-speech-audio most
Journal	Papers
Knowledge-Based Systems	2
Expert Systems with Applications	1

Papers linking to uwrfkaggler/ravdess-emotional-speech-audio, most cited first
Published	Title	Journal	Authors	Citations	Link
2025-03-23	Advanced speech emotion recognition utilizing optimized equivariant quantum convolutional neural network for accurate emotional state classification	Knowledge-Based Systems	G. Balachandran, Ranjith S, G. C. Jagan et al.	11	cites it
2025-11-15	PV2ES-BiRTM: Variational auto encoder sampling-based deep learning framework for emotion recognition from speech signals	Knowledge-Based Systems	J. Ancilin, S. R. Lyernisha	0	cites it
2026-03-24	Automated speech emotion recognition model using feature-driven ensemble deep learning and puma optimization algorithm	Expert Systems with Applications	Abeer S. Almogren, Taghreed Ali Alsudais, Nouf J. Aljohani et al.	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). uwrfkaggler/ravdess-emotional-speech-audio: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/kaggle-uwrfkaggler-ravdess-emotional-speech-audio

@misc{scholar4ai-code-kaggle-uwrfkaggler-ravdess-emotional-speech-audio,
  author = {{Scholar4AI}},
  title = {uwrfkaggler/ravdess-emotional-speech-audio: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/kaggle-uwrfkaggler-ravdess-emotional-speech-audio}},
  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).