OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Two-Way Feature Extraction for Speech Emotion Recognition Using Deep Learning
Apeksha Aggarwal, Akshat Srivastava, Ajay Agarwal, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2378-2378
Open Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

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: 96

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: 75

Speech Emotion Recognition Using Attention Model
Jagjeet Singh, Lakshmi Babu Saheer, Oliver Faust
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 6, pp. 5140-5140
Open Access | Times Cited: 45

An efficient feature selection method for arabic and english speech emotion recognition using Grey Wolf Optimizer
Ismail Shahin, Osama Ahmad Alomari, Ali Bou Nassif, et al.
Applied Acoustics (2023) Vol. 205, pp. 109279-109279
Closed Access | Times Cited: 39

Improved Feature Parameter Extraction from Speech Signals Using Machine Learning Algorithm
Akmalbek Abdusalomov, Furkat Safarov, Mekhriddin Rakhimov, et al.
Sensors (2022) Vol. 22, Iss. 21, pp. 8122-8122
Open Access | Times Cited: 36

State-of-the-Art Review of Machine Learning Applications in Additive Manufacturing; from Design to Manufacturing and Property Control
Garshasp Keyvan Sarkon, Babak Safaei, Mohammad Saleh Kenevisi, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 7, pp. 5663-5721
Closed Access | Times Cited: 35

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: 30

Design of smart home system speech emotion recognition model based on ensemble deep learning and feature fusion
Mengsheng Wang, Hongbin Ma, Yingli Wang, et al.
Applied Acoustics (2024) Vol. 218, pp. 109886-109886
Closed Access | Times Cited: 7

Newman-Watts-Strogatz topology in deep echo state networks for speech emotion recognition
Rebh Soltani, Emna Benmohamed, Hela Ltifi
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108293-108293
Closed Access | Times Cited: 6

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

Speech emotion recognition using the novel PEmoNet (Parallel Emotion Network)
Kishor Bhangale, Mohanaprasad Kothandaraman
Applied Acoustics (2023) Vol. 212, pp. 109613-109613
Closed Access | Times Cited: 16

Speech Emotion Recognition Using Support Vector Machine
Rouaa Al Zoubi, Ayad Turky, Sebti Foufou
Lecture notes in networks and systems (2024), pp. 519-532
Closed Access | Times Cited: 6

An Improved MSER using Grid Search based PCA and Ensemble Voting Technique
Astha Tripathi, Poonam Rani
Multimedia Tools and Applications (2024) Vol. 83, Iss. 34, pp. 80497-80522
Closed Access | Times Cited: 5

Lightweight Deep Learning Framework for Speech Emotion Recognition
Samson Akinpelu, Serestina Viriri, Adekanmi Adeyinka Adegun
IEEE Access (2023) Vol. 11, pp. 77086-77098
Open Access | Times Cited: 12

Machine learning approach of speech emotions recognition using feature fusion technique
Bachchu Paul, Somnath Bera, Tanushree Dey, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 3, pp. 8663-8688
Closed Access | Times Cited: 11

Real-time hand gesture recognition using multiple deep learning architectures
Apeksha Aggarwal, Nikhil Bhutani, Ritvik Kapur, et al.
Signal Image and Video Processing (2023) Vol. 17, Iss. 8, pp. 3963-3971
Closed Access | Times Cited: 11

MVIB-DVA: Learning minimum sufficient multi-feature speech emotion embeddings under dual-view aware
Guoyan Li, Junjie Hou, Yi Liu, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123110-123110
Closed Access | Times Cited: 4

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: 4

Navigating the Multimodal Landscape: A Review on Integration of Text and Image Data in Machine Learning Architectures
Maisha Binte Rashid, Md Shahidur Rahaman, Pablo Rivas
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 3, pp. 1545-1563
Open Access | Times Cited: 4

Enhancing Speech Emotion Recognition Using Dual Feature Extraction Encoders
Ilkhomjon Pulatov, Rashid Oteniyazov, Fazliddin Makhmudov, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6640-6640
Open Access | Times Cited: 10

Do images really do the talking?
Siddhanth U Hegde, Adeep Hande, Ruba Priyadharshini, et al.
Advances in Computational Intelligence (2025) Vol. 5, Iss. 1
Open Access

Emotion Detection Based on Pupil Variation
Ching-Long Lee, Wen Pei, Yu-Cheng Lin, et al.
Healthcare (2023) Vol. 11, Iss. 3, pp. 322-322
Open Access | Times Cited: 9

Feature extraction and classification efficiency analysis using machine learning approach for speech signal
Mahesh K. Singh
Multimedia Tools and Applications (2023) Vol. 83, Iss. 16, pp. 47069-47084
Closed Access | Times Cited: 8

Speech Emotion Recognition Using Machine Learning: A Comparative Analysis
Sasank Nath, Ashutosh Kumar Shahi, Tekwo Martin, et al.
SN Computer Science (2024) Vol. 5, Iss. 4
Closed Access | Times Cited: 3

Page 1 - Next Page

Scroll to top