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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:

RETRACTED ARTICLE: Application of fuzzy C-means clustering algorithm to spectral features for emotion classification from speech
Semiye Demircan, Humar Kahramanlı
Neural Computing and Applications (2016) Vol. 29, Iss. 8, pp. 59-66
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Speech emotion recognition using deep 1D & 2D CNN LSTM networks
Jianfeng Zhao, Xia Mao, Lijiang Chen
Biomedical Signal Processing and Control (2018) Vol. 47, pp. 312-323
Closed Access | Times Cited: 829
Speech emotion recognition with deep convolutional neural networks
Dias Issa, M. Fatih Demirci, Adnan Yazıcı
Biomedical Signal Processing and Control (2020) Vol. 59, pp. 101894-101894
Closed Access | Times Cited: 449
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
A survey of speech emotion recognition in natural environment
Md Shah Fahad, Ashish Ranjan, Jainath Yadav, et al.
Digital Signal Processing (2020) Vol. 110, pp. 102951-102951
Closed Access | Times Cited: 118
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
Spontaneous Speech Emotion Recognition Using Multiscale Deep Convolutional LSTM
Shiqing Zhang, Xiaoming Zhao, Qi Tian
IEEE Transactions on Affective Computing (2019) Vol. 13, Iss. 2, pp. 680-688
Open Access | Times Cited: 103
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
Emotion classification from speech signal based on empirical mode decomposition and non-linear features
Palani Thanaraj Krishnan, Alex Noel Joseph Raj, Vijayarajan Rajangam
Complex & Intelligent Systems (2021) Vol. 7, Iss. 4, pp. 1919-1934
Open Access | Times Cited: 68
Fusion of mel and gammatone frequency cepstral coefficients for speech emotion recognition using deep C-RNN
U Kumaran, S. Radha Rammohan, Senthil Murugan Nagarajan, et al.
International Journal of Speech Technology (2021) Vol. 24, Iss. 2, pp. 303-314
Closed Access | Times Cited: 66
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
IoT-Enabled WBAN and Machine Learning for Speech Emotion Recognition in Patients
Damilola D. Olatinwo, Adnan M. Abu‐Mahfouz, Gerhard P. Hancke, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 2948-2948
Open Access | Times Cited: 22
Identification of cutting tool wear condition in turning using self-organizing map trained with imbalanced data
Lucas Costa Brito, Márcio Bacci da Silva, Marcus Antônio Viana Duarte
Journal of Intelligent Manufacturing (2020) Vol. 32, Iss. 1, pp. 127-140
Closed Access | Times Cited: 55
Deep Convolutional Neural Network and Gray Wolf Optimization Algorithm for Speech Emotion Recognition
Mohammad Reza Falahzadeh, Fardad Farokhi, Ali Harimi, et al.
Circuits Systems and Signal Processing (2022) Vol. 42, Iss. 1, pp. 449-492
Closed Access | Times Cited: 31
Deep-CNN based knowledge learning with Beluga Whale optimization using chaogram transformation using intelligent sensors for speech emotion recognition
Chandupatla Deepika, Swarna Kuchibhotla
Measurement Sensors (2024) Vol. 32, pp. 101030-101030
Open Access | Times Cited: 5
ANFIS system for classification of brain signals
José de Jesús Rubio, David Ricardo Cruz, Israel Elias, et al.
Journal of Intelligent & Fuzzy Systems (2019) Vol. 37, Iss. 3, pp. 4033-4041
Closed Access | Times Cited: 37
Prediction of Blast-Induced Ground Vibration Intensity in Open-Pit Mines Using Unmanned Aerial Vehicle and a Novel Intelligence System
Xuan-Nam Bui, Yosoon Choi, Victor Atrushkevich, et al.
Natural Resources Research (2019) Vol. 29, Iss. 2, pp. 771-790
Closed Access | Times Cited: 37
Learning Deep Binaural Representations With Deep Convolutional Neural Networks for Spontaneous Speech Emotion Recognition
Shiqing Zhang, Chen Ai-hua, Wenping Guo, et al.
IEEE Access (2020) Vol. 8, pp. 23496-23505
Open Access | Times Cited: 32
A Multilingual Framework of CNN and Bi-LSTM for Emotion Classification
Ashima Yadav, Dinesh Kumar Vishwakarma
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2020)
Closed Access | Times Cited: 32
Emotion detection from multilingual audio using deep analysis
Sudipta Bhattacharya, Samarjeet Borah, Brojo Kishore Mishra, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 28, pp. 41309-41338
Closed Access | Times Cited: 20
Improved statistical features-based control chart patterns recognition using ANFIS with fuzzy clustering
Munawar Zaman, Adnan Hassan
Neural Computing and Applications (2018) Vol. 31, Iss. 10, pp. 5935-5949
Closed Access | Times Cited: 33
Recognizing Semi-Natural and Spontaneous Speech Emotions Using Deep Neural Networks
Ammar Amjad, Lal Khan, Noman Ashraf, et al.
IEEE Access (2022) Vol. 10, pp. 37149-37163
Open Access | Times Cited: 15
Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophrenia
Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
Frontiers in Psychiatry (2024) Vol. 15
Open Access | Times Cited: 2
Effective MLP and CNN based ensemble learning for speech emotion recognition
Asif Iqbal Middya, Baibhav Nag, Sarbani Roy
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 2
Multi-Layer Hybrid Fuzzy Classification Based on SVM and Improved PSO for Speech Emotion Recognition
Shihan Huang, Hua Dang, Rongkun Jiang, et al.
Electronics (2021) Vol. 10, Iss. 23, pp. 2891-2891
Open Access | Times Cited: 15
Speaker independent feature selection for speech emotion recognition: A multi-task approach
Elham Kalhor, Behzad Bakhtiari
Multimedia Tools and Applications (2020) Vol. 80, Iss. 6, pp. 8127-8146
Closed Access | Times Cited: 13
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