Scholar4AI Updated 2026-11-05 06:02 UTC+09:00

AudioSet / ESC-50

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data category: Speech and audio benchmarks · 0 papers in the last 7 days

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Names searched for: AudioSet, ESC-50

Key findings#

  • From Nov 2023 to Oct 2026, 41 archived papers mentioned AudioSet / ESC-50 in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Jan 2026 (4).
  • AudioSet / ESC-50 was mentioned in 1 paper in the last 30 days (2026-10-07 to 2026-11-05), ranking #165 of the 246 datasets mentioned.
  • By journal category: Operations Research (1).
  • Most of them appeared in Operations Research Forum (1).
  • From 2017 to 2026 (so far), AudioSet / ESC-50 was mentioned in 49 papers in the tracked journals, most of them in AI (47), information systems (1) and operations research (1).
  • 9 of them were published in 2025, against 0 in 2017.
  • Since 2023, the institutions with the most of these papers were Chinese Academy of Sciences (3), Institute of Automation (3) and Shanghai Artificial Intelligence Laboratory (3).
  • The journals publishing most of them were International Journal of Computer Vision (9), IEEE Transactions on Pattern Analysis and Machine Intelligence (8) and Expert Systems with Applications (6).
  • The most-cited of them is “A comprehensive survey on applications of transformers for deep learning tasks” (Expert Systems with Applications, 2023), with 495 citations.
  • Papers use AudioSet / ESC-50 most often with ImageNet (19), YouTube / TikTok (16) and Action recognition (Kinetics, UCF101, HMDB51) (11); it has 8 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
TrendNov 23–Oct 24Nov 24–Oct 25Nov 25–Oct 2636 months
15101641

Papers per year#

2017: 0 papers2018: 0 papers2019: 1 paper2020: 0 papers2021: 1 paper2022: 2 papers2023: 5 papers2024: 18 papers2025: 9 papers2026 (so far): 13 papers
20172026 (so far)
Papers per publication year and category
Category2017201820192020202120222023202420252026 (so far)
AI000012518912
Information Systems0010000000
Operations Research0000000001
All categories001012518913

Where the papers come from#

Institutions with the most papers, since 2023
#InstitutionPapers
1Chinese Academy of Sciences3
2Institute of Automation3
3Shanghai Artificial Intelligence Laboratory3
4Universitatea Națională de Știință și Tehnologie Politehnica București3
5University of Chinese Academy of Sciences3
6University of Oxford3
7Harbin Institute of Technology2
8Hefei University of Technology2
9Institut Polytechnique de Paris2
10MIT Computer Science and Artificial Intelligence Laboratory2
Countries with the most papers, since 2023
#CountryPapers
1China17
2United Kingdom7
3United States7
4Australia4
5Spain3
6Romania3
7United Arab Emirates2
8Finland2
9France2
10Hong Kong2
Keywords with the most papers, since 2023
#KeywordPapers
1ESC-505
2self-attention5
3audio classification4
4AudioSet3
5audiovisual integration3
6convolutional neural networks3
7cross-modal alignment3
8multimodal fusion3
9multimodal learning3
10temporal modeling3

Most-cited papers#

Most-cited papers since 2017
#CitationsPer monthTitleJournalPublishedAuthors
149514.0A comprehensive survey on applications of transformers for deep learning tasksExpert Systems with Applications2023-11-22Saidul Islam, Hanae Elmekki, Ahmed Elsebai et al.
22126.9Automatic speech recognition using advanced deep learning approaches: A surveyInformation Fusion2024-04-15Hamza Kheddar, Mustapha Hemis, Yassine Himeur
31024.3Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methodsJournal Of Big Data2024-11-07Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El‐Hafeez et al.
4811.6Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained DevicesPattern Recognition2022-09-07Md Mohaimenuzzaman, Christoph Bergmeir, Ian Thomas West et al.
5743.0Audio-Visual Segmentation with SemanticsInternational Journal of Computer Vision2024-10-14Jinxing Zhou, Xuyang Shen, Jianyuan Wang et al.

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use AudioSet / ESC-50 most often with ImageNet (19), YouTube / TikTok (16) and Action recognition (Kinetics, UCF101, HMDB51) (11); it has 8 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →

What papers use AudioSet / ESC-50 together with (at least 3 papers; lift 1 = chance)
Used withTypePapers using bothLift
ImageNetDataset197.9
YouTube / TikTokDataset168.5
Action recognition (Kinetics, UCF101, HMDB51)Dataset1137.0
LibriSpeechDataset580.0
MS COCODataset55.3
CIFAR-10 / CIFAR-100Dataset32.1
PASCAL VOCDataset38.8
UCI Machine Learning RepositoryDataset34.7
Papers mentioning AudioSet / ESC-50 in the last 30 days, newest first.
DateTitleJournalAuthorsAffiliations
2026-10-15Transformer Architectures for Respiratory Sound Analysis and Multimodal DiagnosisOperations Research ForumTheodore Aptekarev, Vladimir Sokolovsky, G. B. Furman et al.National Research University Higher School of Economics; Ben-Gurion University of the Negev; Perm State Medical Academy
Cite this page

Scholar4AI. (2026). AudioSet / ESC-50. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/audioset-esc-50

@misc{scholar4ai-datasets-audioset-esc-50,
  author = {{Scholar4AI}},
  title = {AudioSet / ESC-50},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/audioset-esc-50}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

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