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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:

Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
Muzammil Khan, Muhammad Taqi Mehran, Zeeshan Haq, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115695-115695
Open Access | Times Cited: 164

Showing 1-25 of 164 citing articles:

Applications of machine learning in thermochemical conversion of biomass-A review
Muzammil Khan, Salman Raza Naqvi, Zahid Ullah, et al.
Fuel (2022) Vol. 332, pp. 126055-126055
Closed Access | Times Cited: 137
The applications of MCDM methods in COVID-19 pandemic: A state of the art review
Alireza Sotoudeh-Anvari
Applied Soft Computing (2022) Vol. 126, pp. 109238-109238
Open Access | Times Cited: 135
Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda
Araz Zirar, Syed Imran Ali, Nazrul Islam
Technovation (2023) Vol. 124, pp. 102747-102747
Open Access | Times Cited: 129
The Role of Artificial Intelligence and Machine Learning Amid the COVID-19 Pandemic: What Lessons Are We Learning on 4IR and the Sustainable Development Goals
David Mhlanga
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 3, pp. 1879-1879
Open Access | Times Cited: 94
Artificial neural networks for the prediction of biochar yield: A comparative study of metaheuristic algorithms
Muzammil Khan, Zahid Ullah, Ondřej Mašek, et al.
Bioresource Technology (2022) Vol. 355, pp. 127215-127215
Open Access | Times Cited: 84
Application of Artificial Intelligence in Combating High Antimicrobial Resistance Rates
Ali A. Rabaan, Saad Alhumaid, Abbas Al Mutair, et al.
Antibiotics (2022) Vol. 11, Iss. 6, pp. 784-784
Open Access | Times Cited: 80
Discovering topics and trends in the field of Artificial Intelligence: Using LDA topic modeling
Dejian Yu, Bo Xiang
Expert Systems with Applications (2023) Vol. 225, pp. 120114-120114
Closed Access | Times Cited: 63
Surveillance and response strategies for zoonotic diseases: a comprehensive review
Manjeet Sharan, Deepthi Vijay, Jay Prakash Yadav, et al.
Science in One Health (2023) Vol. 2, pp. 100050-100050
Open Access | Times Cited: 52
Application of artificial intelligence for resilient and sustainable healthcare system: systematic literature review and future research directions
Laxmi Pandit Vishwakarma, Rajesh Kumar Singh, Ruchi Mishra, et al.
International Journal of Production Research (2023), pp. 1-23
Open Access | Times Cited: 44
Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images
Haval I. Hussein, Abdulhakeem O. Mohammed, Masoud Muhammed Hassan, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119900-119900
Open Access | Times Cited: 44
The COVID-19 epidemic analysis and diagnosis using deep learning: A systematic literature review and future directions
Arash Heidari, Nima Jafari Navimipour, Mehmet Ünal, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105141-105141
Open Access | Times Cited: 76
A novel explainable COVID-19 diagnosis method by integration of feature selection with random forest
Mehrdad Rostami, Mourad Oussalah
Informatics in Medicine Unlocked (2022) Vol. 30, pp. 100941-100941
Open Access | Times Cited: 54
Exploring the role of artificial intelligence in building production resilience: learnings from the COVID-19 pandemic
Vishwas Dohale, Milind Akarte, Angappa Gunasekaran, et al.
International Journal of Production Research (2022) Vol. 62, Iss. 15, pp. 5472-5488
Closed Access | Times Cited: 54
An integrated framework of data-driven, metaheuristic, and mechanistic modeling approach for biomass pyrolysis
Zahid Ullah, Muzammil Khan, Salman Raza Naqvi, et al.
Process Safety and Environmental Protection (2022) Vol. 162, pp. 337-345
Closed Access | Times Cited: 42
Comparative study of machine learning methods integrated with genetic algorithm and particle swarm optimization for bio-char yield prediction
Zeeshan Haq, Hafeez Ullah, Muhammad Nouman Aslam Khan, et al.
Bioresource Technology (2022) Vol. 363, pp. 128008-128008
Closed Access | Times Cited: 42
Prediction of hydrogen yield from supercritical gasification process of sewage sludge using machine learning and particle swarm hybrid strategy
Muhammad Nouman Aslam Khan, Zeeshan Haq, Hafeez Ullah, et al.
International Journal of Hydrogen Energy (2023) Vol. 54, pp. 512-525
Closed Access | Times Cited: 37
Optimization based comparative study of machine learning methods for the prediction of bio-oil produced from microalgae via pyrolysis
Hafeez Ullah, Zeeshan Haq, Salman Raza Naqvi, et al.
Journal of Analytical and Applied Pyrolysis (2023) Vol. 170, pp. 105879-105879
Closed Access | Times Cited: 34
COVID-19 detection and analysis from lung CT images using novel channel boosted CNNs
Saddam Hussain Khan, Javed Iqbal, Syed Agha Hassnain, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120477-120477
Open Access | Times Cited: 30
Recent Advances of Artificial Intelligence in Healthcare: A Systematic Literature Review
Fotis Kitsios, Maria Kamariotou, Aristomenis Syngelakis, et al.
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7479-7479
Open Access | Times Cited: 28
Application of artificial intelligence (AI) to control COVID-19 pandemic: Current status and future prospects
Sumel Ashique, Neeraj Mishra, Sourav Mohanto, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e25754-e25754
Open Access | Times Cited: 9
Forecasting daily Covid-19 cases in the world with a hybrid ARIMA and neural network model
Lucas Rabelo de Araújo Morais, Gecynalda Soares da Silva Gomes
Applied Soft Computing (2022) Vol. 126, pp. 109315-109315
Open Access | Times Cited: 37
A comparison of machine learning algorithms in predicting COVID-19 prognostics
Serpil Üstebay, Abdurrahman Sarmış, Gülsüm Kübra Kaya, et al.
Internal and Emergency Medicine (2022) Vol. 18, Iss. 1, pp. 229-239
Open Access | Times Cited: 31
RESCOVIDTCNnet: A residual neural network-based framework for COVID-19 detection using TCN and EWT with chest X-ray images
El‐Sayed A. El‐Dahshan, Mahmoud M. Bassiouni, Ahmed Hagag, et al.
Expert Systems with Applications (2022) Vol. 204, pp. 117410-117410
Open Access | Times Cited: 30
COVID-19 detection on Chest X-ray images: A comparison of CNN architectures and ensembles
Fabrício Breve
Expert Systems with Applications (2022) Vol. 204, pp. 117549-117549
Open Access | Times Cited: 29
Explainable Machine-Learning Models for COVID-19 Prognosis Prediction Using Clinical, Laboratory and Radiomic Features
Francesco Prinzi, Carmelo Militello, Nicola Scichilone, et al.
IEEE Access (2023) Vol. 11, pp. 121492-121510
Open Access | Times Cited: 21
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