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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:

Survey on Emotional Body Gesture Recognition
Fatemeh Noroozi, Ciprian Corneanu, Dorota Kamińska, et al.
IEEE Transactions on Affective Computing (2018) Vol. 12, Iss. 2, pp. 505-523
Open Access | Times Cited: 369

Showing 1-25 of 369 citing articles:

Outlook on human-centric manufacturing towards Industry 5.0
Yuqian Lu, Hao Zheng, Saahil Chand, et al.
Journal of Manufacturing Systems (2022) Vol. 62, pp. 612-627
Closed Access | Times Cited: 414
A systematic review on affective computing: emotion models, databases, and recent advances
Yan Wang, Wei Song, Wei Tao, et al.
Information Fusion (2022) Vol. 83-84, pp. 19-52
Open Access | Times Cited: 303
Deep 3D human pose estimation: A review
Jinbao Wang, Shujie Tan, Xiantong Zhen, et al.
Computer Vision and Image Understanding (2021) Vol. 210, pp. 103225-103225
Open Access | Times Cited: 255
Emotion Recognition for Human-Robot Interaction: Recent Advances and Future Perspectives
Matteo Spezialetti, Giuseppe Placidi, Silvia Rossi
Frontiers in Robotics and AI (2020) Vol. 7
Open Access | Times Cited: 169
Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques
Md. Rabiul Islam, Mohammad Ali Moni, Md. Milon Islam, et al.
IEEE Access (2021) Vol. 9, pp. 94601-94624
Open Access | Times Cited: 136
Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects
Shiqing Zhang, Yijiao Yang, Chen Chen, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121692-121692
Closed Access | Times Cited: 81
Emotion Recognition for Everyday Life Using Physiological Signals from Wearables: A Systematic Literature Review
Stanisław Saganowski, Bartosz Perz, Adam G. Polak, et al.
IEEE Transactions on Affective Computing (2022) Vol. 14, Iss. 3, pp. 1876-1897
Open Access | Times Cited: 79
Emotion recognition from unimodal to multimodal analysis: A review
Kaouther Ezzameli, Hela Mahersia
Information Fusion (2023) Vol. 99, pp. 101847-101847
Closed Access | Times Cited: 70
EEG emotion recognition using attention-based convolutional transformer neural network
Linlin Gong, Mingyang Li, Tao Zhang, et al.
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104835-104835
Closed Access | Times Cited: 56
Capacity of Generative AI to Interpret Human Emotions From Visual and Textual Data: Pilot Evaluation Study
Zohar Elyoseph, Elad Refoua, Kfir Asraf, et al.
JMIR Mental Health (2023) Vol. 11, pp. e54369-e54369
Open Access | Times Cited: 56
Benchmarking Micro-Action Recognition: Dataset, Methods, and Applications
Dan Guo, Kun Li, Bin Hu, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 7, pp. 6238-6252
Closed Access | Times Cited: 49
A systematic review on automated human emotion recognition using electroencephalogram signals and artificial intelligence
Raveendrababu Vempati, Lakhan Dev Sharma
Results in Engineering (2023) Vol. 18, pp. 101027-101027
Open Access | Times Cited: 46
Facial expression and body gesture emotion recognition: A systematic review on the use of visual data in affective computing
Sze Chit Leong, Yuk Ming Tang, Chung Hin Lai, et al.
Computer Science Review (2023) Vol. 48, pp. 100545-100545
Closed Access | Times Cited: 44
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
Ming Jin, Changde Du, Huiguang He, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 9070-9082
Closed Access | Times Cited: 18
A Systematic Review on Multimodal Emotion Recognition: Building Blocks, Current State, Applications, and Challenges
Sepideh Kalateh, Luis A. Estrada-Jimenez, Sanaz Nikghadam-Hojjati, et al.
IEEE Access (2024) Vol. 12, pp. 103976-104019
Open Access | Times Cited: 16
Audiovisual emotion recognition in wild
Egils Avots, Tomasz Sapiński, Maie Bachmann, et al.
Machine Vision and Applications (2018) Vol. 30, Iss. 5, pp. 975-985
Open Access | Times Cited: 146
Emotion Recognition From Body Movement
Ferdous Ahmed, A. S. M. Hossain Bari, Marina L. Gavrilova
IEEE Access (2019) Vol. 8, pp. 11761-11781
Open Access | Times Cited: 116
Levels of explainable artificial intelligence for human-aligned conversational explanations
Richard Dazeley, Peter Vamplew, Cameron Foale, et al.
Artificial Intelligence (2021) Vol. 299, pp. 103525-103525
Open Access | Times Cited: 90
Emotion Recognition from Skeletal Movements
Tomasz Sapiński, Dorota Kamińska, A. Pelikant, et al.
Entropy (2019) Vol. 21, Iss. 7, pp. 646-646
Open Access | Times Cited: 88
A 3D-convolutional neural network framework with ensemble learning techniques for multi-modal emotion recognition
Elham S. Salama, Reda A. El-Khoribi, Mahmoud Shoman, et al.
Egyptian Informatics Journal (2020) Vol. 22, Iss. 2, pp. 167-176
Open Access | Times Cited: 88
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis
Julio C. S. Jacques, Yağmur Güçlütürk, Marc Pérez, et al.
IEEE Transactions on Affective Computing (2019) Vol. 13, Iss. 1, pp. 75-95
Open Access | Times Cited: 83
Video sentiment analysis with bimodal information-augmented multi-head attention
Ting Wu, Junjie Peng, Wenqiang Zhang, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107676-107676
Open Access | Times Cited: 80
Communication in Human-Robot Interaction
Andrea Bonarini
Current Robotics Reports (2020) Vol. 1, Iss. 4, pp. 279-285
Open Access | Times Cited: 72
What makes the difference? An empirical comparison of fusion strategies for multimodal language analysis
Dimitris Gkoumas, Qiuchi Li, Christina Lioma, et al.
Information Fusion (2020) Vol. 66, pp. 184-197
Open Access | Times Cited: 71
A computational neuroethology perspective on body and expression perception
Béatrice de Gelder, Marta Poyo Solanas
Trends in Cognitive Sciences (2021) Vol. 25, Iss. 9, pp. 744-756
Open Access | Times Cited: 71
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