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:

COVID-19 disease diagnosis with light-weight CNN using modified MFCC and enhanced GFCC from human respiratory sounds
Kranthi Kumar Lella, P. J. A. Alphonse
The European Physical Journal Special Topics (2022) Vol. 231, Iss. 18-20, pp. 3329-3346
Open Access | Times Cited: 40

Showing 1-25 of 40 citing articles:

Diagnosing COVID-19 using artificial intelligence: a comprehensive review
Varada Vivek Khanna, Krishnaraj Chadaga, Niranjana Sampathila, et al.
Network Modeling Analysis in Health Informatics and Bioinformatics (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 39

Coswara: A respiratory sounds and symptoms dataset for remote screening of SARS-CoV-2 infection
Debarpan Bhattacharya, Neeraj Sharma, Debottam Dutta, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 31

Interpretation of lung disease classification with light attention connected module
Youngjin Choi, Hong-Chul Lee
Biomedical Signal Processing and Control (2023) Vol. 84, pp. 104695-104695
Open Access | Times Cited: 25

An overview of deep learning techniques for COVID-19 detection: methods, challenges, and future works
Ercan Gürsoy, Yasin Kaya
Multimedia Systems (2023) Vol. 29, Iss. 3, pp. 1603-1627
Open Access | Times Cited: 22

Artificial intelligence-based framework to identify the abnormalities in the COVID-19 disease and other common respiratory diseases from digital stethoscope data using deep CNN
Kranthi Kumar Lella, M. S. Jagadeesh, P. J. A. Alphonse
Health Information Science and Systems (2024) Vol. 12, Iss. 1
Closed Access | Times Cited: 7

COVID-19 Detection from Chest X-rays Using Trained Output Based Transfer Learning Approach
Sanjay Kumar, Abhishek Mallik
Neural Processing Letters (2022) Vol. 55, Iss. 3, pp. 2405-2428
Open Access | Times Cited: 27

Advances in the Application of Traditional Chinese Medicine Using Artificial Intelligence: A Review
Sheng Zhang, Wei Wang, Xitian Pi, et al.
The American Journal of Chinese Medicine (2023) Vol. 51, Iss. 05, pp. 1067-1083
Closed Access | Times Cited: 15

Towards classification and comprehensive analysis of AI-based COVID-19 diagnostic techniques: A survey
Amna Kosar, Muhammad Asif, Maaz Bin Ahmad, et al.
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102858-102858
Closed Access | Times Cited: 4

Vision Transformer Based Classification of Neurological Disorders from Human Speech
Emel Soylu, Sema Gül Türk, Kübra Aslan, et al.
Firat University Journal of Experimental and Computational Engineering (2024) Vol. 3, Iss. 2, pp. 160-174
Open Access | Times Cited: 2

Novel fuzzy deep learning approach for automated detection of useful COVID-19 tweets
Sree Jagadeesh Malla, Kranthi Kumar Lella, P. J. A. Alphonse
Artificial Intelligence in Medicine (2023) Vol. 143, pp. 102627-102627
Closed Access | Times Cited: 6

Prediction of hypertension risk based on multiple feature fusion
Jingdong Yang, Han Wang, Peng Liu, et al.
Journal of Biomedical Informatics (2024) Vol. 157, pp. 104701-104701
Closed Access | Times Cited: 2

Challenges and Opportunities of Deep Learning for Cough-Based COVID-19 Diagnosis: A Scoping Review
Syrine Ghrabli, Mohamed Elgendi, Carlo Menon
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2142-2142
Open Access | Times Cited: 9

COVID-19: respiratory disease diagnosis with regularized deep convolutional neural network using human respiratory sounds
Kranthi Kumar Lella, P. J. A. Alphonse
The European Physical Journal Special Topics (2022) Vol. 231, Iss. 18-20, pp. 3673-3696
Open Access | Times Cited: 9

Bioacoustic signal analysis through complex network features
Vimal Raj, M. S. Swapna, S. Sankararaman
Computers in Biology and Medicine (2022) Vol. 145, pp. 105491-105491
Closed Access | Times Cited: 5

Classification SARS-CoV-2 Disease based on CT-Scan Image Using Convolutional Neural Network
Kelvin Leonardi Kohsasih, B. Herawan Hayadi
Scientific Journal of Informatics (2022) Vol. 9, Iss. 2, pp. 197-204
Open Access | Times Cited: 5

Dynamics of the COVID-19 pandemic: nonlinear approaches on the modelling, prediction and control
Santo Banerjee
The European Physical Journal Special Topics (2022) Vol. 231, Iss. 18-20, pp. 3275-3280
Open Access | Times Cited: 5

Hydroacoustic Target Detection Based on Improved GFCC and Lightweight Neural Network
Yifan Cao, Jing Yan, Kaixuan Sun, et al.
(2023), pp. 6239-6243
Closed Access | Times Cited: 2

Secure smart city application using webservice model and mayfly optimization‐based lightweight CNN
Adlin Sheeba, R. Rajalakshmi, B. Uma Maheswari, et al.
Transactions on Emerging Telecommunications Technologies (2023) Vol. 35, Iss. 1
Closed Access | Times Cited: 2

Long-term prediction of the sporadic COVID-19 epidemics induced by $$\delta$$-virus in China based on a novel non-autonomous delayed SIR model
Lijun Pei, Yanhong Hu
The European Physical Journal Special Topics (2022) Vol. 231, Iss. 18-20, pp. 3649-3662
Open Access | Times Cited: 4

ANN-Based Classification of Rain Acoustic Sensor Data Using Modified Mel Frequency Cepstral Coefficients
Danilyn Joy O. Aquino, Louie Francis Eusebio, Pocholo James M. Loresco
2021 IEEE 13th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM) (2022), pp. 1-6
Closed Access | Times Cited: 3

C3-PO: A Convolutional Neural Network for COVID Onset Prediction from Cough Sounds
Xiangyu Chen, Md Ayshik Rahman Khan, Md Rakibul Hasan, et al.
Lecture notes in computer science (2024), pp. 355-368
Closed Access

A Comparative Study Based on Deep Learning and Machine Learning Methods for COVID-19 Detection Using Audio Signal
Fulya Akdeniz, Merve Nur Damar, Buse İrem Danacı, et al.
Lecture notes in networks and systems (2024), pp. 457-466
Closed Access

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