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:

Genetic prediction of ICU hospitalization and mortality in COVID‐19 patients using artificial neural networks
Panagiotis G. Asteris, Eleni Gavriilaki, Tasoula Touloumenidou, et al.
Journal of Cellular and Molecular Medicine (2022) Vol. 26, Iss. 5, pp. 1445-1455
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Rubberized geopolymer composites: A comprehensive review
Shaker Qaidi, Ahmed Salih Mohammed, Hemn Unis Ahmed, et al.
Ceramics International (2022) Vol. 48, Iss. 17, pp. 24234-24259
Closed Access | Times Cited: 193
Predicting uniaxial compressive strength of rocks using ANN models: Incorporating porosity, compressional wave velocity, and schmidt hammer data
Panagiotis G. Asteris, Μαρία Καρόγλου, Athanasia D. Skentou, et al.
Ultrasonics (2024) Vol. 141, pp. 107347-107347
Closed Access | Times Cited: 54
A comparative study of prediction of compressive strength of ultra‐high performance concrete using soft computing technique
Rakesh Kumar, Baboo Rai, Pijush Samui
Structural Concrete (2023) Vol. 24, Iss. 4, pp. 5538-5555
Closed Access | Times Cited: 50
Incorporating Artificial Intelligence Technology in Smart Greenhouses: Current State of the Art
Chrysanthos Maraveas
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 14-14
Open Access | Times Cited: 63
Complement activation in COVID-19 and targeted therapeutic options: A scoping review
Endry H. T. Lim, Rombout B. E. van Amstel, Vieve Victoria de Boer, et al.
Blood Reviews (2022) Vol. 57, pp. 100995-100995
Open Access | Times Cited: 48
Application of Bio and Nature-Inspired Algorithms in Agricultural Engineering
Chrysanthos Maraveas, Panagiotis G. Asteris, Konstantinos G. Arvanitis, et al.
Archives of Computational Methods in Engineering (2022) Vol. 30, Iss. 3, pp. 1979-2012
Open Access | Times Cited: 43
Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models
Mahdi Hasanipanah, Mehdi Jamei, Ahmed Salih Mohammed, et al.
Earth Science Informatics (2022) Vol. 15, Iss. 3, pp. 1659-1669
Closed Access | Times Cited: 38
Complement and COVID-19: Three years on, what we know, what we don't know, and what we ought to know
Wioleta M. Zelek, R. A. Harrison
Immunobiology (2023) Vol. 228, Iss. 3, pp. 152393-152393
Open Access | Times Cited: 27
Impact of Artificial Intelligence on COVID-19 Pandemic: A Survey of Image Processing, Tracking of Disease, Prediction of Outcomes, and Computational Medicine
Khaled H. Almotairi, Ahmad MohdAziz Hussein, Laith Abualigah, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 11-11
Open Access | Times Cited: 26
Genetic justification of COVID‐19 patient outcomes using DERGA, a novel data ensemble refinement greedy algorithm
Panagiotis G. Asteris, Amir H. Gandomi, Danial Jahed Armaghani, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 4
Open Access | Times Cited: 13
Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm
Panagiotis G. Asteris, Amir H. Gandomi, Danial Jahed Armaghani, et al.
European Journal of Internal Medicine (2024) Vol. 125, pp. 67-73
Closed Access | Times Cited: 10
Machine learning and soft voting ensemble classification for earthquake induced damage to bridges
Dipendra Gautam, Ankit Bhattarai, Rajesh Rupakhety
Engineering Structures (2024) Vol. 303, pp. 117534-117534
Closed Access | Times Cited: 8
Revealing the nature of soil liquefaction using machine learning
Sufyan Ghani, Ishwor Thapa, Amrendra Kumar, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Open Access | Times Cited: 1
Correlating the Unconfined Compressive Strength of Rock with the Compressional Wave Velocity Effective Porosity and Schmidt Hammer Rebound Number Using Artificial Neural Networks
Tien-Thinh Le, Athanasia D. Skentou, Anna Mamou, et al.
Rock Mechanics and Rock Engineering (2022) Vol. 55, Iss. 11, pp. 6805-6840
Closed Access | Times Cited: 37
Artificial intelligence for diagnosis of mild–moderate COVID-19 using haematological markers
Krishnaraj Chadaga, Srikanth Prabhu, Vivekananda Bhat K, et al.
Annals of Medicine (2023) Vol. 55, Iss. 1
Open Access | Times Cited: 17
Next-generation sequencing of host genetics risk factors associated with COVID-19 severity and long-COVID in Colombian population
Mariana Angulo-Aguado, Juan Camilo Carrillo-Martínez, Nora Constanza Contreras-Bravo, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Revealing the nature of cardiovascular disease using DERGA, a novel data ensemble refinement greedy algorithm
Panagiotis G. Asteris, Eleni Gavriilaki, Polydoros N. Kampaktsis, et al.
International Journal of Cardiology (2024) Vol. 412, pp. 132339-132339
Closed Access | Times Cited: 6
Environmentally Friendly Concrete Compressive Strength Prediction Using Hybrid Machine Learning
Ehsan Mansouri, Maeve Manfredi, Jong Wan Hu
Sustainability (2022) Vol. 14, Iss. 20, pp. 12990-12990
Open Access | Times Cited: 27
Early prediction of COVID-19 outcome using artificial intelligence techniques and only five laboratory indices
Panagiotis G. Asteris, Styliani Kokoris, Eleni Gavriilaki, et al.
Clinical Immunology (2022) Vol. 246, pp. 109218-109218
Open Access | Times Cited: 25
Modeling the Impact of Liquid Polymers on Concrete Stability in Terms of a Slump and Compressive Strength
Ahmed Salih Mohammed, Wael Emad, Warzer Sarwar Qadir, et al.
Applied Sciences (2023) Vol. 13, Iss. 2, pp. 1208-1208
Open Access | Times Cited: 16
Analysis of Plasma Proteins Involved in Inflammation, Immune Response/Complement System, and Blood Coagulation upon Admission of COVID-19 Patients to Hospital May Help to Predict the Prognosis of the Disease
Daniele Castro di Flora, Aline Dionízio, Heloísa Aparecida Barbosa Silva Pereira, et al.
Cells (2023) Vol. 12, Iss. 12, pp. 1601-1601
Open Access | Times Cited: 16
Wastewater-based epidemiology for COVID-19 using dynamic artificial neural networks
Jesús M. Zamarreño, Andrés F. Torres-Franco, José Gonçalves, et al.
The Science of The Total Environment (2024) Vol. 917, pp. 170367-170367
Open Access | Times Cited: 5
Design of an artificial neural network to predict mortality among COVID-19 patients
Mostafa Shanbehzadeh, Raoof Nopour, Hadi Kazemi-Arpanahi
Informatics in Medicine Unlocked (2022) Vol. 31, pp. 100983-100983
Open Access | Times Cited: 19
Forecast of Airblast Vibrations Induced by Blasting Using Support Vector Regression Optimized by the Grasshopper Optimization (SVR-GO) Technique
Lihua Chen, Panagiotis G. Asteris, Markos Z. Tsoukalas, et al.
Applied Sciences (2022) Vol. 12, Iss. 19, pp. 9805-9805
Open Access | Times Cited: 19
Page 1 - Next Page

Scroll to top