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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:

CLSTM: Deep Feature-Based Speech Emotion Recognition Using the Hierarchical ConvLSTM Network
Mustaqeem Mustaqeem, Soonil Kwon
Mathematics (2020) Vol. 8, Iss. 12, pp. 2133-2133
Open Access | Times Cited: 109

Showing 1-25 of 109 citing articles:

Human Activity Recognition via Hybrid Deep Learning Based Model
Imran Khan, Sitara Afzal, Jong Weon Lee
Sensors (2022) Vol. 22, Iss. 1, pp. 323-323
Open Access | Times Cited: 185
Att-Net: Enhanced emotion recognition system using lightweight self-attention module
Mustaqeem Mustaqeem, Soonil Kwon
Applied Soft Computing (2021) Vol. 102, pp. 107101-107101
Closed Access | Times Cited: 133
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
Speech Emotion Recognition: A Comprehensive Survey
Mohammed Jawad Al-Dujaili, Abbas Ebrahimi-Moghadam
Wireless Personal Communications (2023) Vol. 129, Iss. 4, pp. 2525-2561
Closed Access | Times Cited: 44
Optimal feature selection based speech emotion recognition using two‐stream deep convolutional neural network
Mustaqeem Mustaqeem, Soonil Kwon
International Journal of Intelligent Systems (2021) Vol. 36, Iss. 9, pp. 5116-5135
Open Access | Times Cited: 82
COVID-19 outbreak: An ensemble pre-trained deep learning model for detecting informative tweets
Sree Jagadeesh Malla, Alphonse P.J.A.
Applied Soft Computing (2021) Vol. 107, pp. 107495-107495
Open Access | Times Cited: 77
Age and Gender Recognition Using a Convolutional Neural Network with a Specially Designed Multi-Attention Module through Speech Spectrograms
Anvarjon Tursunov, Mustaqeem Mustaqeem, Joon Yeon Choeh, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5892-5892
Open Access | Times Cited: 68
Short-Term Energy Forecasting Framework Using an Ensemble Deep Learning Approach
Mustaqeem Mustaqeem, Muhammad Ishaq, Soonil Kwon
IEEE Access (2021) Vol. 9, pp. 94262-94271
Open Access | Times Cited: 63
1D-CNN: Speech Emotion Recognition System Using a Stacked Network with Dilated CNN Features
Mustaqeem Mustaqeem, Soonil Kwon
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 67, Iss. 3, pp. 4039-4059
Open Access | Times Cited: 60
AAD-Net: Advanced end-to-end signal processing system for human emotion detection & recognition using attention-based deep echo state network
Mustaqeem Khan, Abdulmotaleb El Saddik, Fahd S. Alotaibi, et al.
Knowledge-Based Systems (2023) Vol. 270, pp. 110525-110525
Closed Access | Times Cited: 37
Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer
Rizwan Ullah, Muhammad Asif, Wahab Ali Shah, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 6212-6212
Open Access | Times Cited: 28
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
Multi-scale Sparse Network with Cross-Attention Mechanism for image-based butterflies fine-grained classification
Maopeng Li, Guoxiong Zhou, Weiwei Cai, et al.
Applied Soft Computing (2022) Vol. 117, pp. 108419-108419
Closed Access | Times Cited: 32
Attention-Based Multi-Learning Approach for Speech Emotion Recognition With Dilated Convolution
Samuel Kakuba, Alwin Poulose, Dong Seog Han
IEEE Access (2022) Vol. 10, pp. 122302-122313
Open Access | Times Cited: 28
Aspect-Based Sentiment Analysis of Customer Speech Data Using Deep Convolutional Neural Network and BiLSTM
Sivakumar Murugaiyan, U. Srinivasulu Reddy
Cognitive Computation (2023) Vol. 15, Iss. 3, pp. 914-931
Closed Access | Times Cited: 18
Bias in Machine Learning: A Literature Review
Konstantinos Mavrogiorgos, Athanasios Kiourtis, Argyro Mavrogiorgou, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8860-8860
Open Access | Times Cited: 5
The real-time data processing framework for blockchain and edge computing
Zhaolong Gao, Yan Wei
Alexandria Engineering Journal (2025) Vol. 120, pp. 50-61
Closed Access
Exploring syntactic and semantic features for authorship attribution
Haiyan Wu, Zhiqiang Zhang, Qingfeng Wu
Applied Soft Computing (2021) Vol. 111, pp. 107815-107815
Closed Access | Times Cited: 32
Modeling Speech Emotion Recognition via Attention-Oriented Parallel CNN Encoders
Fazliddin Makhmudov, Alpamis Kutlimuratov, Farkhod Akhmedov, et al.
Electronics (2022) Vol. 11, Iss. 23, pp. 4047-4047
Open Access | Times Cited: 23
A comprehensive survey on object detection in Visual Art: taxonomy and challenge
Siwar Bengamra, Olfa Mzoughi, André Bigand, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 5, pp. 14637-14670
Closed Access | Times Cited: 13
Energy Efficient Graph-Based Hybrid Learning for Speech Emotion Recognition on Humanoid Robot
Haowen Wu, Hanyue Xu, Kah Phooi Seng, et al.
Electronics (2024) Vol. 13, Iss. 6, pp. 1151-1151
Open Access | Times Cited: 4
Emotion Recognition in Speech Using CNN Architecture for Enhanced Human-Machine Interaction
Pooja Singh, S. Raut, Tanvi Chaudhari, et al.
SSRN Electronic Journal (2025)
Closed Access
Hybrid Approach for Facial Expression Recognition Using Convolutional Neural Networks and SVM
Jin‐Chul Kim, Min-Hyun Kim, Han-Enul Suh, et al.
Applied Sciences (2022) Vol. 12, Iss. 11, pp. 5493-5493
Open Access | Times Cited: 21
Enhancing speech emotion recognition through deep learning and handcrafted feature fusion
Fatma Güneş Eriş, Erhan Akbal
Applied Acoustics (2024) Vol. 222, pp. 110070-110070
Closed Access | Times Cited: 3
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