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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:

Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India
Parul Arora, Himanshu Kumar, Bijaya Ketan Panigrahi
Chaos Solitons & Fractals (2020) Vol. 139, pp. 110017-110017
Open Access | Times Cited: 345

Showing 1-25 of 345 citing articles:

Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study
Sourabh Shastri, Kuljeet Singh, Sachin Kumar, et al.
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110227-110227
Open Access | Times Cited: 243
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: 194
Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization
Hossein Abbasimehr, Reza Paki
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110511-110511
Open Access | Times Cited: 159
Forecasting of COVID-19 cases using deep learning models: Is it reliable and practically significant?
Jayanthi Devaraj, Rajvikram Madurai Elavarasan, Rishi Pugazhendhi, et al.
Results in Physics (2021) Vol. 21, pp. 103817-103817
Open Access | Times Cited: 153
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
Zaid Abdi Alkareem Alyasseri, Mohammed Azmi Al‐Betar, Iyad Abu Doush, et al.
Expert Systems (2021) Vol. 39, Iss. 3
Open Access | Times Cited: 139
Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review
Hafsa Bareen Syeda, Mahanazuddin Syed, Kevin W. Sexton, et al.
JMIR Medical Informatics (2020) Vol. 9, Iss. 1, pp. e23811-e23811
Open Access | Times Cited: 137
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 135
Artificial Intelligence for COVID-19: A Systematic Review
Lian Wang, Yonggang Zhang, Dongguang Wang, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 131
Time series prediction of COVID-19 transmission in America using LSTM and XGBoost algorithms
Junling Luo, Zhong-Liang Zhang, Yao Fu, et al.
Results in Physics (2021) Vol. 27, pp. 104462-104462
Open Access | Times Cited: 109
Beyond explaining: Opportunities and challenges of XAI-based model improvement
Leander Weber, Sebastian Lapuschkin, Alexander Binder, et al.
Information Fusion (2022) Vol. 92, pp. 154-176
Open Access | Times Cited: 69
Healthcare predictive analytics using machine learning and deep learning techniques: a survey
Mohammed Badawy, Nagy Ramadan, Hesham A. Hefny
Journal of Electrical Systems and Information Technology (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 49
Intelligent computing with Levenberg–Marquardt artificial neural networks for nonlinear system of COVID-19 epidemic model for future generation disease control
Tahir Nawaz Cheema, Muhammad Asif Zahoor Raja, Iftikhar Ahmad, et al.
The European Physical Journal Plus (2020) Vol. 135, Iss. 11
Open Access | Times Cited: 121
On forecasting the spread of the COVID-19 in Iran: The second wave
Behzad Ghanbari
Chaos Solitons & Fractals (2020) Vol. 140, pp. 110176-110176
Open Access | Times Cited: 108
Gradient-based grey wolf optimizer with Gaussian walk: Application in modelling and prediction of the COVID-19 pandemic
Soheyl Khalilpourazari, Hossein Hashemi Doulabi, Aybike Özyüksel Çiftçioğlu, et al.
Expert Systems with Applications (2021) Vol. 177, pp. 114920-114920
Open Access | Times Cited: 97
Discovering symptom patterns of COVID-19 patients using association rule mining
Meera Tandan, Yogesh Acharya, Suresh Pokharel, et al.
Computers in Biology and Medicine (2021) Vol. 131, pp. 104249-104249
Open Access | Times Cited: 92
The COVID-19 pandemic: viral variants and vaccine efficacy
Marco Ciotti, Massimo Ciccozzi, Massimo Pieri, et al.
Critical Reviews in Clinical Laboratory Sciences (2021) Vol. 59, Iss. 1, pp. 66-75
Closed Access | Times Cited: 90
A statistical analysis of the novel coronavirus (COVID-19) in Italy and Spain
Jeffrey Chu
PLoS ONE (2021) Vol. 16, Iss. 3, pp. e0249037-e0249037
Open Access | Times Cited: 88
Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan
Xiaofeng Zhu, Bin Song, Feng Shi, et al.
Medical Image Analysis (2020) Vol. 67, pp. 101824-101824
Open Access | Times Cited: 73
Recurrent Neural Network and Reinforcement Learning Model for COVID-19 Prediction
Rajan Kumar, Firoz Khan, Sadia Din, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 68
The second and third waves in India: when will the pandemic be culminated?
C. Kavitha, A. Gowrisankar, Santo Banerjee
The European Physical Journal Plus (2021) Vol. 136, Iss. 5
Open Access | Times Cited: 61
Application of machine learning in the prediction of COVID-19 daily new cases: A scoping review
Soudeh Ghafouri‐Fard, Hossein Mohammad‐Rahimi, Parisa Motie, et al.
Heliyon (2021) Vol. 7, Iss. 10, pp. e08143-e08143
Open Access | Times Cited: 59
A novel approach based on combining deep learning models with statistical methods for COVID-19 time series forecasting
Hossein Abbasimehr, Reza Paki, Aram Bahrini
Neural Computing and Applications (2021) Vol. 34, Iss. 4, pp. 3135-3149
Open Access | Times Cited: 57
Forecasting COVID-19 cases: A comparative analysis between recurrent and convolutional neural networks
Khondoker Nazmoon Nabi, Md Toki Tahmid, Md. Abdur Rafi, et al.
Results in Physics (2021) Vol. 24, pp. 104137-104137
Open Access | Times Cited: 56
Convergence of Precision Medicine and Public Health Into Precision Public Health: Toward a Big Data Perspective
Pedro Elkind Velmovitsky, Tatiana Bevilacqua, Paulo Alencar, et al.
Frontiers in Public Health (2021) Vol. 9
Open Access | Times Cited: 55
Temporal deep learning architecture for prediction of COVID-19 cases in India
Hanuman Verma, Saurav Mandal, Akshansh Gupta
Expert Systems with Applications (2022) Vol. 195, pp. 116611-116611
Open Access | Times Cited: 54
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