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:

Speaker Recognition Using Constrained Convolutional Neural Networks in Emotional Speech
Nikola Simić, Siniša Suzić, Tijana Nosek, et al.
Entropy (2022) Vol. 24, Iss. 3, pp. 414-414
Open Access | Times Cited: 16

Showing 16 citing articles:

A review of deep learning techniques for speech processing
Ambuj Mehrish, Navonil Majumder, Rishabh Bharadwaj, et al.
Information Fusion (2023) Vol. 99, pp. 101869-101869
Open Access | Times Cited: 145

Enhancing Emotion Recognition through Federated Learning: A Multimodal Approach with Convolutional Neural Networks
Nikola Simić, Siniša Suzić, Nemanja Milošević, et al.
Applied Sciences (2024) Vol. 14, Iss. 4, pp. 1325-1325
Open Access | Times Cited: 8

Spectrogram Features-Based Automatic Speaker Identification For Smart Services
Rashid Jahangir, Mohammed Alreshoodi, Fawaz Khaled Alarfaj
Applied Artificial Intelligence (2025) Vol. 39, Iss. 1
Open Access

Speaker recognition using Improved Butterfly Optimization Algorithm with hybrid Long Short Term Memory network
Venkata Subba Reddy Gade, Sumathi Manickam
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 73817-73839
Closed Access | Times Cited: 2

Emotion-Aware Speaker Identification With Transfer Learning
Kyoung Ju Noh, Hyuntae Jeong
IEEE Access (2023) Vol. 11, pp. 77292-77306
Open Access | Times Cited: 4

SEC-GAN for robust speaker recognition with emotional state dismatch
Dongdong Li, Zhuo Yang, Zhe Wang, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 105039-105039
Closed Access | Times Cited: 2

CNN-MFCC Model for Speaker Recognition using Emotive Speech
Shalini Tomar, Shashidhar G. Koolagudi
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2023) Vol. 7, pp. 1-7
Closed Access | Times Cited: 2

Optimizing speaker identification: a comprehensive study with deep neural networks
Benyamina Ahmed, Benkrama Soumia, Mohammed Yazid Bentaib
STUDIES IN ENGINEERING AND EXACT SCIENCES (2024) Vol. 5, Iss. 2, pp. e7547-e7547
Closed Access

Multimodal Emotion Recognition Using Compressed Graph Neural Networks
Tijana Đurkić, Nikola Simić, Siniša Suzić, et al.
Lecture notes in computer science (2024), pp. 109-121
Closed Access

Transformation of Emotional Speech to Anger Speech to Reduce Mismatches in Testing and Enrollment Speech for Speaker Recognition System
Shalini Tomar, Shashidhar G. Koolagudi
Lecture notes in computer science (2024), pp. 185-200
Closed Access

A Robust Deep Learning-Based Speaker Identification System Using Hybrid Model on KUI Dataset
Subrat Kumar Nayak, Ajit Kumar Nayak, Suprava Ranjan Laha, et al.
International Journal of Electrical and Electronics Research (2024) Vol. 12, Iss. 4, pp. 1502-1507
Open Access

Impact of different voting strategies in CNN based speech emotion recognition
Nikola Simić, Siniša Suzić, Tijana Nosek, et al.
2021 29th European Signal Processing Conference (EUSIPCO) (2022), pp. 1174-1177
Closed Access | Times Cited: 2

Speaker Identification in Noisy Environments for Forensic Purposes
Armando Rodarte-Rodríguez, Aldonso Becerra Sánchez, José Ismael De la Rosa Vargas, et al.
Lecture notes in networks and systems (2022), pp. 299-312
Closed Access | Times Cited: 1

An Analysis of Speech Emotion Recognition Based on Hybrid DNN-HMM Framework
Nebojša Babić, Jovan Galić
(2023), pp. 1-4
Closed Access

Towards more flexible human-machine speech communication
Milan Sečujski, Nikša Jakovljević, Nikola Simić, et al.
(2023), pp. 1-4
Closed Access

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