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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:

Role of intelligent computing in COVID-19 prognosis: A state-of-the-art review
H. Swapnarekha, H. S. Behera, Janmenjoy Nayak, et al.
Chaos Solitons & Fractals (2020) Vol. 138, pp. 109947-109947
Open Access | Times Cited: 190

Showing 1-25 of 190 citing articles:

A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images
Harsh Panwar, P. K. Gupta, Mohammad Khubeb Siddiqui, et al.
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110190-110190
Open Access | Times Cited: 447
Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study
Abdelhafid Zeroual, Fouzi Harrou, Abdelkader Dairi, et al.
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110121-110121
Open Access | Times Cited: 445
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Md. Milon Islam, Fakhri Karray, Reda Alhajj, et al.
IEEE Access (2021) Vol. 9, pp. 30551-30572
Open Access | Times Cited: 268
Review of Big Data Analytics, Artificial Intelligence and Nature-Inspired Computing Models towards Accurate Detection of COVID-19 Pandemic Cases and Contact Tracing
Israel Edem Agbehadji, Bankole Awuzie, A.B. Ngowi, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 15, pp. 5330-5330
Open Access | Times Cited: 224
Applications of artificial intelligence in battling against covid-19: A literature review
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 196
Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review
Norah Alballa, Isra Al-Turaiki
Informatics in Medicine Unlocked (2021) Vol. 24, pp. 100564-100564
Open Access | Times Cited: 195
Forecasting of COVID-19 using deep layer Recurrent Neural Networks (RNNs) with Gated Recurrent Units (GRUs) and Long Short-Term Memory (LSTM) cells
K.E. ArunKumar, Dinesh V. Kalaga, Ch. Mohan Sai Kumar, et al.
Chaos Solitons & Fractals (2021) Vol. 146, pp. 110861-110861
Open Access | Times Cited: 177
Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends
K.E. ArunKumar, Dinesh V. Kalaga, Ch. Mohan Sai Kumar, et al.
Alexandria Engineering Journal (2022) Vol. 61, Iss. 10, pp. 7585-7603
Open Access | Times Cited: 170
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
Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning
Navid Ghassemi, Afshin Shoeibi, Marjane Khodatars, et al.
Applied Soft Computing (2023) Vol. 144, pp. 110511-110511
Open Access | Times Cited: 46
Ensemble learning model for diagnosing COVID-19 from routine blood tests
Maryam AlJame, Imtiaz Ahmad, Ayyub Imtiaz, et al.
Informatics in Medicine Unlocked (2020) Vol. 21, pp. 100449-100449
Open Access | Times Cited: 127
Coronavirus disease (COVID-19) prevention and treatment methods and effective parameters: A systematic literature review
Amir Masoud Rahmani, Seyedeh Yasaman Hosseini Mirmahaleh
Sustainable Cities and Society (2020) Vol. 64, pp. 102568-102568
Open Access | Times Cited: 116
Analytical features of the SIR model and their applications to COVID-19
Nikolay A. Kudryashov, Mikhail A. Chmykhov, Michael Vigdorowitsch
Applied Mathematical Modelling (2020) Vol. 90, pp. 466-473
Open Access | Times Cited: 112
Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases
Arun Sharma, S. Sheeba Rani, Dinesh Gupta
International Journal of Biomedical Imaging (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 108
A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse autoencoder and feed forward neural network
J. Gayathri, Bejoy Abraham, M S Sujarani, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105134-105134
Open Access | Times Cited: 101
Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review
Hossein Mohammad‐Rahimi, Mohadeseh Nadimi, Azadeh Ghalyanchi‐Langeroudi, et al.
Frontiers in Cardiovascular Medicine (2021) Vol. 8
Open Access | Times Cited: 90
Transfer Learning for COVID-19 cases and deaths forecast using LSTM network
Yogesh Gautam
ISA Transactions (2021) Vol. 124, pp. 41-56
Open Access | Times Cited: 81
A systematic review on AI/ML approaches against COVID-19 outbreak
Onur Doğan, Sanju Tiwari, M. A. Jabbar, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 5, pp. 2655-2678
Open Access | Times Cited: 74
A Deep-Learning-Based Framework for Automated Diagnosis of COVID-19 Using X-ray Images
Irfan Ullah Khan, Nida Aslam
Information (2020) Vol. 11, Iss. 9, pp. 419-419
Open Access | Times Cited: 73
CO-ResNet: Optimized ResNet model for COVID-19 diagnosis from X-ray images
Subrato Bharati, Prajoy Podder, M. Rubaiyat Hossain Mondal, et al.
International Journal of Hybrid Intelligent Systems (2021) Vol. 17, Iss. 1-2, pp. 71-85
Open Access | Times Cited: 66
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence
Jasjit S. Suri, Sushant Agarwal, Suneet Gupta, et al.
Computers in Biology and Medicine (2021) Vol. 130, pp. 104210-104210
Open Access | Times Cited: 64
Objective evaluation of deep uncertainty predictions for COVID-19 detection
Hamzeh Asgharnezhad, Afshar Shamsi, Roohallah Alizadehsani, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 63
COVID-19 Detection Empowered with Machine Learning and Deep Learning Techniques: A Systematic Review
Amir Rehman, Muhammad Azhar Iqbal, Huanlai Xing, et al.
Applied Sciences (2021) Vol. 11, Iss. 8, pp. 3414-3414
Open Access | Times Cited: 59
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: 55
Machine learning approaches in Covid-19 severity risk prediction in Morocco
Mariam Laatifi, Samira Douzi, Abdelaziz Bouklouz, et al.
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 48
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