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:

COV-ADSX: An Automated Detection System using X-ray Images, Deep Learning, and XGBoost for COVID-19
Sharif Hasani, Hamid Nasiri
Software Impacts (2021) Vol. 11, pp. 100210-100210
Open Access | Times Cited: 19

Showing 19 citing articles:

Modeling of energy consumption factors for an industrial cement vertical roller mill by SHAP-XGBoost: a "conscious lab" approach
Rasoul Fatahi, Hamid Nasiri, Ehsan Dadfar, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 46

Chest X-ray in Emergency Radiology: What Artificial Intelligence Applications Are Available?
Giovanni Irmici, Maurizio Cè, Elena Caloro, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 216-216
Open Access | Times Cited: 30

Modeling operational cement rotary kiln variables with explainable artificial intelligence methods – a “conscious lab” development
Rasoul Fatahi, Hamid Nasiri, Arman Homafar, et al.
Particulate Science And Technology (2022) Vol. 41, Iss. 5, pp. 715-724
Open Access | Times Cited: 27

Modeling coking coal indexes by SHAP-XGBoost: Explainable artificial intelligence method
Arman Homafar, Hamid Nasiri, Saeed Chehreh Chelgani
Fuel Communications (2022) Vol. 13, pp. 100078-100078
Closed Access | Times Cited: 24

Diagnosis of Parkinson’s disease based on voice signals using SHAP and hard voting ensemble method
Paria Ghaheri, Hamid Nasiri, Ahmadreza Shateri, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 13, pp. 1858-1874
Open Access | Times Cited: 14

Efficacy of Tree-Based Models for Pipe Failure Prediction and Condition Assessment: A Comprehensive Review
Milad Latifi, Ramiz Beig Zali, Akbar A. Javadi, et al.
Journal of Water Resources Planning and Management (2024) Vol. 150, Iss. 7
Open Access | Times Cited: 4

Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM
Hamid Nasiri, Ghazal Kheyroddin, Morteza Dorrigiv, et al.
2022 IEEE World AI IoT Congress (AIIoT) (2022), pp. 201-206
Open Access | Times Cited: 19

PD-ADSV: An automated diagnosing system using voice signals and hard voting ensemble method for Parkinson’s disease
Paria Ghaheri, Ahmadreza Shateri, Hamid Nasiri
Software Impacts (2023) Vol. 16, pp. 100504-100504
Open Access | Times Cited: 11

Diagnosis of COVID-19 Cases from Chest X-ray Images Using Deep Neural Network and LightGBM
Mobina Ezzoddin, Hamid Nasiri, Morteza Dorrigiv
(2022)
Open Access | Times Cited: 15

A Comparative Analysis of Skin Cancer Detection Applications Using Histogram-Based Local Descriptors
Yıldız Aydın
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3142-3142
Open Access | Times Cited: 7

Deep-Learning-Based COVID-19 Diagnosis and Implementation in Embedded Edge-Computing Device
Lu Lou, Liang Hong, Zhengxia Wang
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1329-1329
Open Access | Times Cited: 3

ModInterv: An automated online software for modeling epidemics
Arthur A. Brum, Gerson C. Duarte-Filho, Raydonal Ospina, et al.
Software Impacts (2022) Vol. 14, pp. 100409-100409
Open Access | Times Cited: 3

A Comprehensive Review on COVID-19 Detection Based on Cough Sounds, Symptoms, CXR, and CT Images
Chandrakanta Mahanty, S. Gopal Krishna Patro, Sandeep Rathor, et al.
IEEE Access (2024) Vol. 12, pp. 75412-75425
Open Access

A Brief Overview of Deep Learning-Based Diagnostic Systems for the Detection of COVID-19 Using Medical Imaging
Gouri Shankar Chakraborty, Salil Batra
Advances in intelligent systems and computing (2023), pp. 305-322
Closed Access | Times Cited: 1

Intelligent Surface-Enhanced Raman Scattering Sensor System for Virus Identification
Zaid Farooq Pitafi, Wen‐Zhan Song, Zion Tsz Ho Tse, et al.
GLOBECOM 2022 - 2022 IEEE Global Communications Conference (2022), pp. 554-559
Closed Access | Times Cited: 1

Diagnosis of Covid-19 Using X-Ray Images with the application of Deep Learning Techniques
A M Anusha, Shashank Janager, Sidagouda Santi, et al.
(2022) Vol. 6, pp. 1-7
Closed Access

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