The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): papers linking to it

Zenodo · Dataset · 2018 · doi.org/10.5281/zenodo.1188976

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Research papers in the 480 tracked journals that link to The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) (https://doi.org/10.5281/zenodo.1188976), 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 Zenodo dataset The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) in their Crossref records, the first in 2022; most of them (3) in 2026.
By category: AI (4); the journals with the most are Neural Computing and Applications (2), IEEE Transactions on Pattern Analysis and Machine Intelligence (1) and IEEE Transactions on Neural Networks and Learning Systems (1).

By year#

20222026

Papers linking to The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) by publication year
Year	Papers
2022	1
2026	3

Journals#

Journals whose papers link to The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) most
Journal	Papers
Neural Computing and Applications	2
IEEE Transactions on Pattern Analysis and Machine Intelligence	1
IEEE Transactions on Neural Networks and Learning Systems	1

Papers linking to The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS), most cited first
Published	Title	Journal	Authors	Citations	Link
2022-05-08	GRaNN: feature selection with golden ratio-aided neural network for emotion, gender and speaker identification from voice signals	Neural Computing and Applications	Avishek Garain, Biswarup Ray, Fabio Giampaolo et al.	17	cites it
2026-06-01	Speech emotion recognition using deep learning: from basic to complex emotions in unimodal and multimodal frameworks	Neural Computing and Applications	Rachel Si Ting Lai, Lau Bee Theng, Mark Kit Tsun Tee et al.	1	cites it
2026-04-03	Modality-Mix Learning: Promoting Multimodal Learning Through Multilabel Objective	IEEE Transactions on Neural Networks and Learning Systems	Nannan Lu, Zhen Tan, Zhiyuan Han et al.	0	cites it
2026-04-28	Learning Spatial-Temporal Coherent Correlations for Speech-Preserving Facial Expression Manipulation	IEEE Transactions on Pattern Analysis and Machine Intelligence	Tianshui Chen, Jianman Lin, Zhijing Yang 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). The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/zenodo-1188976

@misc{scholar4ai-code-zenodo-1188976,
  author = {{Scholar4AI}},
  title = {The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/zenodo-1188976}},
  urldate = {2026-11-03},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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