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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:

Using unlabeled data to improve classification of emotional states in human computer interaction
Martin Schels, Markus Kächele, Michael Glodek, et al.
Journal on Multimodal User Interfaces (2013) Vol. 8, Iss. 1, pp. 5-16
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Methods for Person-Centered Continuous Pain Intensity Assessment From Bio-Physiological Channels
Markus Kächele, Patrick Thiam, Mohammadreza Amirian, et al.
IEEE Journal of Selected Topics in Signal Processing (2016) Vol. 10, Iss. 5, pp. 854-864
Closed Access | Times Cited: 74
Enhanced semi-supervised learning for multimodal emotion recognition
Zixing Zhang, Fabien Ringeval, Bin Dong, et al.
(2016), pp. 5185-5189
Open Access | Times Cited: 60
Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data
Changde Du, Changying Du, Hao Wang, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2018)
Open Access | Times Cited: 55
Active Learning for Speech Emotion Recognition Using Deep Neural Network
Mohammed Abdelwahab, Carlos Busso
(2019), pp. 1-7
Closed Access | Times Cited: 38
Inferring Depression and Affect from Application Dependent Meta Knowledge
Markus Kächele, Martin Schels, Friedhelm Schwenker
(2014) Vol. 8, pp. 41-48
Closed Access | Times Cited: 39
Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning
Zixing Zhang, Jing Han, Jun Deng, et al.
IEEE Access (2018) Vol. 6, pp. 22196-22209
Open Access | Times Cited: 37
Ensemble Methods for Continuous Affect Recognition
Markus Kächele, Patrick Thiam, Günther Palm, et al.
(2015), pp. 9-16
Closed Access | Times Cited: 30
Prosodic, Spectral and Voice Quality Feature Selection Using a Long-Term Stopping Criterion for Audio-Based Emotion Recognition
Markus Kächele, Dimitrij Zharkov, Sascha Meudt, et al.
(2014), pp. 803-808
Closed Access | Times Cited: 19
Human Computer Interaction Research Through the Lens of a Bibliometric Analysis
Konstantinos Koumaditis, Tajammal Hussain
Lecture notes in computer science (2017), pp. 23-37
Closed Access | Times Cited: 17
Cascaded Fusion of Dynamic, Spatial, and Textural Feature Sets for Person-Independent Facial Emotion Recognition
Markus Kächele, Friedhelm Schwenker
(2014)
Closed Access | Times Cited: 13
Detection of Emotional Events utilizing Support Vector Methods in an Active Learning HCI Scenario
Patrick Thiam, Sascha Meudt, Markus Kächele, et al.
(2014), pp. 31-36
Closed Access | Times Cited: 12
Innovation of college pop music teaching in traditional music culture based on robot cognitive-emotional interaction model
Hua Zhou
3C TIC Cuadernos de desarrollo aplicados a las TIC (2023) Vol. 12, Iss. 1, pp. 200-220
Open Access | Times Cited: 4
Combination of sequential class distributions from multiple channels using Markov fusion networks
Michael Glodek, Martin Schels, Friedhelm Schwenker, et al.
Journal on Multimodal User Interfaces (2014) Vol. 8, Iss. 3, pp. 257-272
Closed Access | Times Cited: 11
Continuous Multimodal Human Affect Estimation using Echo State Networks
Mohammadreza Amirian, Markus Kächele, Patrick Thiam, et al.
(2016), pp. 67-74
Closed Access | Times Cited: 11
Fusion Mappings for Multimodal Affect Recognition
Markus Kächele, Martin Schels, Patrick Thiam, et al.
IEEE Symposium Series on Computational Intelligence (2015), pp. 307-313
Closed Access | Times Cited: 9
Enhanced Autocorrelation in Real World Emotion Recognition
Sascha Meudt, Friedhelm Schwenker
(2014) Vol. 6, pp. 502-507
Closed Access | Times Cited: 8
On Annotation and Evaluation of Multi-modal Corpora in Affective Human-Computer Interaction
Markus Kächele, Martin Schels, Sascha Meudt, et al.
Lecture notes in computer science (2015), pp. 35-44
Closed Access | Times Cited: 7
Paradigms for the Construction and Annotation of Emotional Corpora for Real-world Human-Computer-Interaction
Markus Kächele, Stefanie Rukavina, Günther Palm, et al.
(2015), pp. 367-373
Open Access | Times Cited: 6
The Influence of Annotation, Corpus Design, and Evaluation on the Outcome of Automatic Classification of Human Emotions
Markus Kächele, Martin Schels, Friedhelm Schwenker
Frontiers in ICT (2016) Vol. 3
Open Access | Times Cited: 6
A Quadratic Anthropocentric Perspective on Feedback – Using Proxemics as a Framework
Diana Saplacan, Jo Herstad
Electronic workshops in computing (2017)
Open Access | Times Cited: 5
From multimodal analysis to real-time interactions with virtual agents
Ronald Poppe, Ronald Böck, Francesca Bonin, et al.
Journal on Multimodal User Interfaces (2014) Vol. 8, Iss. 1, pp. 1-3
Open Access | Times Cited: 4
Semi-supervised Bayesian Deep Multi-modal Emotion Recognition
Changde Du, Changying Du, Jinpeng Li, et al.
arXiv (Cornell University) (2017)
Open Access | Times Cited: 4
Multimodal Affect Recognition in the Context of Human-Computer Interaction for Companion-Systems
Friedhelm Schwenker, Ronald Böck, Martin Schels, et al.
Cognitive technologies (2017), pp. 387-408
Closed Access | Times Cited: 4
Fear, Feedback, Familiarity… How are These Connected? – Can familiarity as a design concept applied to digital feedback reduce fear?
Diana Saplacan, Jo Herstad
Advances in Computer-Human Interaction (2018), pp. 171-179
Closed Access | Times Cited: 4
Anticipating the User: Acoustic Disposition Recognition in Intelligent Interactions
Ronald Böck, Olga Egorow, Juliane Höbel-Müller, et al.
Intelligent systems reference library (2019), pp. 203-233
Closed Access | Times Cited: 4
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