Open Access Helper

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:

DiCOVA Challenge: Dataset, Task, and Baseline System for COVID-19 Diagnosis Using Acoustics
Ananya Muguli, Lancelot Pinto, R Nirmala, et al.
Interspeech 2022 (2021)
Open Access | Times Cited: 88

Showing 26-50 of 88 citing articles:

PANACEA Cough Sound-Based Diagnosis of COVID-19 for the DiCOVA 2021 Challenge
Madhu R. Kamble, José A. González, Teresa Grau, et al.
Interspeech 2022 (2021)
Open Access | Times Cited: 14
The Acoustic Dissection of Cough: Diving Into Machine Listening-based COVID-19 Analysis and Detection
Zhao Ren, Yi Chang, Katrin D. Bartl-Pokorny, et al.
Journal of Voice (2022) Vol. 38, Iss. 6, pp. 1264-1277
Open Access | Times Cited: 10
A survey of COVID-19 detection and prediction approaches using mobile devices, AI, and telemedicine
John Paul Shen, Siddharth Ghatti, Nate Ryan Levkov, et al.
Frontiers in Artificial Intelligence (2022) Vol. 5
Open Access | Times Cited: 10
Cough-Based COVID-19 Detection with Contextual Attention Convolutional Neural Networks and Gender Information
Adria Mallol-Ragolta, H. Esteban Cuesta, Emilia Gómez, et al.
Interspeech 2022 (2021), pp. 941-945
Open Access | Times Cited: 13
COVID-19 Diagnosis from Cough Acoustics using ConvNets and Data Augmentation
Saranga Kingkor Mahanta, Darsh Kaushik, Truong Hoang, et al.
(2021), pp. 33-38
Open Access | Times Cited: 12
A Cough-based deep learning framework for detecting COVID-19
Truong Hoang, Lam Pham, Dat Ngo, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 3422-3425
Open Access | Times Cited: 8
Classification of COVID-19 from Cough Using Autoregressive Predictive Coding Pretraining and Spectral Data Augmentation
John Harvill, Yash Wani, Mark Hasegawa‐Johnson, et al.
Interspeech 2022 (2021), pp. 926-930
Closed Access | Times Cited: 11
Introducing the COVID-19 YouTube (COVYT) speech dataset featuring the same speakers with and without infection
Andreas Triantafyllopoulos, Anastasia Semertzidou, Meishu Song, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105642-105642
Closed Access | Times Cited: 4
Diagnosis of COVID-19 Using Auditory Acoustic Cues
Rohan Kumar Das, Maulik C. Madhavi, Haizhou Li
Interspeech 2022 (2021), pp. 921-925
Closed Access | Times Cited: 9
Recognising Covid-19 from Coughing Using Ensembles of SVMs and LSTMs with Handcrafted and Deep Audio Features
Vincent Karas, Björn W. Schuller
Interspeech 2022 (2021), pp. 911-915
Open Access | Times Cited: 9
Exploring Auditory Acoustic Features for The Diagnosis of Covid-19
Madhu R. Kamble, José Patino, María A. Zuluaga, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)
Open Access | Times Cited: 6
Considerations and Challenges for Real-World Deployment of an Acoustic-Based COVID-19 Screening System
Drew Grant, Ian McLane, Valerie Rennoll, et al.
Sensors (2022) Vol. 22, Iss. 23, pp. 9530-9530
Open Access | Times Cited: 6
Investigating Biases in COVID-19 Diagnostic Systems Processed with Automated Speech Anonymization Algorithms
Yi Zhu, Mohamed Imoussaïne-Aïkous, Carolyn Côté‐Lussier, et al.
(2023), pp. 46-54
Open Access | Times Cited: 3
Contrastive Learning of Cough Descriptors for Automatic COVID-19 Preliminary Diagnosis
Swapnil Bhosale, Upasana Tiwari, Rupayan Chakraborty, et al.
Interspeech 2022 (2021), pp. 946-950
Closed Access | Times Cited: 7
The DiCOVA 2021 Challenge — An Encoder-Decoder Approach for COVID-19 Recognition from Coughing Audio
Gauri Deshpande, Björn W. Schuller
Interspeech 2022 (2021)
Open Access | Times Cited: 7
Transformer-based CNNs: Mining Temporal Context Information for Multi-sound COVID-19 Diagnosis
Yi Chang, Zhao Ren, Björn W. Schuller
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2021), pp. 2335-2338
Open Access | Times Cited: 7
Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds
Flávio R. Ávila, Amir Hossein Poorjam, Deepak Mittal, et al.
Interspeech 2022 (2021), pp. 951-955
Closed Access | Times Cited: 6
The Acoustic Dissection of Cough: Diving into Machine Listening-based COVID-19 Analysis and Detection
Zhao Ren, Yi Chang, Katrin D. Bartl-Pokorny, et al.
medRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 4
CoughLIME: Sonified Explanations for the Predictions of COVID-19 Cough Classifiers
Anne Wullenweber, Alican Akman, Björn W. Schuller
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 1342-1345
Closed Access | Times Cited: 4
Artificial intelligence in COVID-19
Mina A. Nessiem, Harry Coppock, Mostafa M. Mohamed, et al.
Elsevier eBooks (2023), pp. 255-273
Closed Access | Times Cited: 2
IoT-Based Framework for COVID-19 Detection Using Machine Learning Techniques
Ahmed Salih Al-Khaleefa, Ghazwan Fouad Kadhim Al-Musawi, T. Saeed
Sci (2023) Vol. 6, Iss. 1, pp. 2-2
Open Access | Times Cited: 2
Towards sound based testing of COVID-19—Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge
Neeraj Kumar Sharma, Ananya Muguli, Prashant Krishnan, et al.
Computer Speech & Language (2021) Vol. 73, pp. 101320-101320
Open Access | Times Cited: 5
End-to-End Network Based on Transformer for Automatic Detection of Covid-19
Cong Cai, Bin Liu, Jianhua Tao, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)
Closed Access | Times Cited: 3
Modeling of Pre-Trained Neural Network Embeddings Learned From Raw Waveform for COVID-19 Infection Detection
Zohreh Mostaani, RaviShankar Prasad, Bogdan Vlasenko, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022), pp. 8482-8486
Closed Access | Times Cited: 3
Automated Covid-19 Respiratory Symptoms Analysis from Speech and Cough
Matúš Pleva, Elien Martens, Jozef Juhár
(2022)
Open Access | Times Cited: 3

Scroll to top