OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Unsupervised Domain Adaptation for Preference Learning Based Speech Emotion Recognition
Abinay Reddy Naini, M.A. Kohler, Carlos Busso
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 5

Showing 5 citing articles:

Selective Acoustic Feature Enhancement for Speech Emotion Recognition With Noisy Speech
Seong-Gyun Leem, Daniel Fulford, Jukka‐Pekka Onnela, et al.
IEEE/ACM Transactions on Audio Speech and Language Processing (2023) Vol. 32, pp. 917-929
Open Access | Times Cited: 7

Deep temporal clustering features for speech emotion recognition
Wei-Cheng Lin, Carlos Busso
Speech Communication (2024) Vol. 157, pp. 103027-103027
Open Access | Times Cited: 1

Generalization of Self-Supervised Learning-Based Representations for Cross-Domain Speech Emotion Recognition
Abinay Reddy Naini, M.A. Kohler, Elizabeth Richerson, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 12031-12035
Closed Access | Times Cited: 1

Multi-Source Unsupervised Transfer Components Learning for Cross-Domain Speech Emotion Recognition
Shenjie Jiang, Peng Song, Shaokai Li, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 10226-10230
Closed Access

Combining Relative and Absolute Learning Formulations to Predict Emotional Attributes From Speech
Abinay Reddy Naini, Shruthi Subramanium, Seong-Gyun Leem, et al.
2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) (2023), pp. 1-8
Closed Access

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