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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:

Learning deep multimodal affective features for spontaneous speech emotion recognition
Shiqing Zhang, Tao Xin, Yuelong Chuang, et al.
Speech Communication (2020) Vol. 127, pp. 73-81
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Multimodal Emotion Recognition using Deep Learning
Sharmeen M.Saleem Abdullah Abdullah, Siddeeq Y. Ameen, Mohammed A. M. Sadeeq, et al.
Journal of Applied Science and Technology Trends (2021) Vol. 2, Iss. 01, pp. 73-79
Open Access | Times Cited: 214
Automated emotion recognition: Current trends and future perspectives
M. Maithri, U. Raghavendra, Anjan Gudigar, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 215, pp. 106646-106646
Closed Access | Times Cited: 115
An ensemble 1D-CNN-LSTM-GRU model with data augmentation for speech emotion recognition
Md. Rayhan Ahmed, Salekul Islam, A.K.M. Muzahidul Islam, et al.
Expert Systems with Applications (2023) Vol. 218, pp. 119633-119633
Open Access | Times Cited: 94
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: 73
An ongoing review of speech emotion recognition
Javier de Lope, Manuel Graña
Neurocomputing (2023) Vol. 528, pp. 1-11
Open Access | Times Cited: 61
Speech Emotion Recognition through Hybrid Features and Convolutional Neural Network
Ala Saleh Alluhaidan, Oumaima Saidani, Rashid Jahangir, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4750-4750
Open Access | Times Cited: 47
From time-series to 2D images for building occupancy prediction using deep transfer learning
Aya Nabil Sayed, Yassine Himeur, Fayçal Bensaali
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105786-105786
Open Access | Times Cited: 43
Multimodal Fusion Convolutional Neural Network With Cross-Attention Mechanism for Internal Defect Detection of Magnetic Tile
Houhong Lu, Yangyang Zhu, Ming Yin, et al.
IEEE Access (2022) Vol. 10, pp. 60876-60886
Open Access | Times Cited: 64
How pedagogical agents communicate with students: A two-phase systematic review
Pieta Sikström, Chiara Valentini, Anu Sivunen, et al.
Computers & Education (2022) Vol. 188, pp. 104564-104564
Open Access | Times Cited: 49
Deep learning-based EEG emotion recognition: Current trends and future perspectives
Xiaohu Wang, Yongmei Ren, Ze Luo, et al.
Frontiers in Psychology (2023) Vol. 14
Open Access | Times Cited: 33
Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects
Umair Ali Khan, Qianru Xu, Yang Liu, et al.
Multimedia Systems (2024) Vol. 30, Iss. 3
Open Access | Times Cited: 9
Harnessing multimodal data fusion to advance accurate identification of fish feeding intensity
Zhuangzhuang Du, Meng Cui, Xianbao Xu, et al.
Biosystems Engineering (2024) Vol. 246, pp. 135-149
Closed Access | Times Cited: 8
GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition
Jiaxin Ye, Xin-Cheng Wen, Xuan-Ze Wang, et al.
Speech Communication (2022) Vol. 145, pp. 21-35
Open Access | Times Cited: 35
Convolutional neural network-based cross-corpus speech emotion recognition with data augmentation and features fusion
Rashid Jahangir, Teh Ying Wah, Ghulam Mujtaba, et al.
Machine Vision and Applications (2022) Vol. 33, Iss. 3
Closed Access | Times Cited: 28
Dual-TBNet: Improving the Robustness of Speech Features via Dual-Transformer-BiLSTM for Speech Emotion Recognition
Zheng Liu, Xin Kang, Fuji Ren
IEEE/ACM Transactions on Audio Speech and Language Processing (2023) Vol. 31, pp. 2193-2203
Closed Access | Times Cited: 19
Speech emotion recognition approaches: A systematic review
Ahlam Hashem, Muhammad Arif, Manal Alghamdi
Speech Communication (2023) Vol. 154, pp. 102974-102974
Closed Access | Times Cited: 19
Feature fusion strategy and improved GhostNet for accurate recognition of fish feeding behavior
Zhuangzhuang Du, Xianbao Xu, Zhuangzhuang Bai, et al.
Computers and Electronics in Agriculture (2023) Vol. 214, pp. 108310-108310
Closed Access | Times Cited: 18
An investigation of fusion strategies for boosting pig cough sound recognition
Yanling Yin, Nan Ji, Xipeng Wang, et al.
Computers and Electronics in Agriculture (2023) Vol. 205, pp. 107645-107645
Closed Access | Times Cited: 16
AMGCN: An adaptive multi-graph convolutional network for speech emotion recognition
Hailun Lian, Cheng Lu, Hongli Chang, et al.
Speech Communication (2025), pp. 103184-103184
Closed Access
MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion
Mustaqeem Khan, Phuong-Nam Tran, Nhat Truong Pham, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Fusion of spectral and prosody modelling for multilingual speech emotion conversion
Susmitha Vekkot, Deepa Gupta
Knowledge-Based Systems (2022) Vol. 242, pp. 108360-108360
Closed Access | Times Cited: 22
Multimodal Emotion Recognition via Convolutional Neural Networks: Comparison of different strategies on two multimodal datasets
Umberto Bilotti, Carmen Bisogni, Maria De Marsico, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107708-107708
Open Access | Times Cited: 13
Coordination Attention based Transformers with bidirectional contrastive loss for multimodal speech emotion recognition
Weiquan Fan, Xiangmin Xu, Zhou Guohua, et al.
Speech Communication (2025), pp. 103198-103198
Closed Access
An Empirical Study on English Phonetic Teaching Reform Based on Praat Phonetic Software
Leilei Guo
International Journal of Cognitive Informatics and Natural Intelligence (2025) Vol. 19, Iss. 1, pp. 1-16
Open Access
A Dynamic-Static Feature Fusion Learning Network for Speech Emotion Recognition
Peiyun Xue, Xiang Gao, Jing Bai, et al.
Neurocomputing (2025) Vol. 633, pp. 129836-129836
Closed Access
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