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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:

Deep learning and medical image processing for coronavirus (COVID-19) pandemic: A survey
Sweta Bhattacharya, Praveen Kumar Reddy Maddikunta, Quoc‐Viet Pham, et al.
Sustainable Cities and Society (2020) Vol. 65, pp. 102589-102589
Open Access | Times Cited: 440

Showing 1-25 of 440 citing articles:

Object detection using YOLO: challenges, architectural successors, datasets and applications
Tausif Diwan, G. Anirudh, Jitendra V. Tembhurne
Multimedia Tools and Applications (2022) Vol. 82, Iss. 6, pp. 9243-9275
Open Access | Times Cited: 721
Deep Neural Networks for Medical Image Segmentation
Priyanka Malhotra, Sheifali Gupta, Deepika Koundal, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 201
Contributions of Smart City Solutions and Technologies to Resilience against the COVID-19 Pandemic: A Literature Review
Ayyoob Sharifi, Amir Reza Khavarian-Garmsir, Rama Krishna Reddy Kummitha
Sustainability (2021) Vol. 13, Iss. 14, pp. 8018-8018
Open Access | Times Cited: 170
Semantic segmentation for multiscale target based on object recognition using the improved Faster-RCNN model
Du Jiang, Gongfa Li, Chong Tan, et al.
Future Generation Computer Systems (2021) Vol. 123, pp. 94-104
Closed Access | Times Cited: 166
Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, et al.
IEEE Access (2021) Vol. 9, pp. 95730-95753
Open Access | Times Cited: 158
Recognition of Leaf Disease Using Hybrid Convolutional Neural Network by Applying Feature Reduction
Prabhjot Kaur, Shilpi Harnal, Rajeev Tiwari, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 575-575
Open Access | Times Cited: 141
Neural Decoding of EEG Signals with Machine Learning: A Systematic Review
Maham Saeidi, Waldemar Karwowski, Farzad V. Farahani, et al.
Brain Sciences (2021) Vol. 11, Iss. 11, pp. 1525-1525
Open Access | Times Cited: 132
Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images
Lucas Teixeira, Rodolfo M. Pereira, Diego Bertolini, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7116-7116
Open Access | Times Cited: 127
Artificial intelligence in the diagnosis of COVID-19: challenges and perspectives
Shigao Huang, Jie Yang, Simon Fong, et al.
International Journal of Biological Sciences (2021) Vol. 17, Iss. 6, pp. 1581-1587
Open Access | Times Cited: 118
COVID-19 image classification using deep learning: Advances, challenges and opportunities
Priya Aggarwal, Narendra Kumar Mishra, Binish Fatimah, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105350-105350
Open Access | Times Cited: 117
Cross corpus multi-lingual speech emotion recognition using ensemble learning
Wisha Zehra, Abdul Rehman Javed, Zunera Jalil, et al.
Complex & Intelligent Systems (2021) Vol. 7, Iss. 4, pp. 1845-1854
Open Access | Times Cited: 114
Assessing and controlling infection risk with Wells-Riley model and spatial flow impact factor (SFIF)
Yong Guo, Hua Qian, Zhiwei Sun, et al.
Sustainable Cities and Society (2021) Vol. 67, pp. 102719-102719
Open Access | Times Cited: 108
COVID-19 detection using federated machine learning
Mustafa Abdul Salam, Sanaa Taha, Mohamed Ramadan
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0252573-e0252573
Open Access | Times Cited: 106
Application of Deep Learning Techniques in Diagnosis of Covid-19 (Coronavirus): A Systematic Review
Yogesh H. Bhosale, K. Sridhar Patnaik
Neural Processing Letters (2022) Vol. 55, Iss. 3, pp. 3551-3603
Open Access | Times Cited: 82
A Novel Framework Based on Deep Learning and ANOVA Feature Selection Method for Diagnosis of COVID-19 Cases from Chest X-Ray Images
Hamid Nasiri, Seyed Ali Alavi
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 77
Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations
Pouyan Esmaeilzadeh
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102861-102861
Closed Access | Times Cited: 73
Review on the Evaluation and Development of Artificial Intelligence for COVID-19 Containment
Md. Mahadi Hasan, Muhammad Usama Islam, Muhammad Jafar Sadeq, et al.
Sensors (2023) Vol. 23, Iss. 1, pp. 527-527
Open Access | Times Cited: 46
A medical multimodal large language model for future pandemics
Fenglin Liu, Tingting Zhu, Xian Wu, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 46
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan, Saddam Hussain Khan, Mahrukh Saif, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2023) Vol. 36, Iss. 8, pp. 1779-1821
Open Access | Times Cited: 45
Deep learning for intelligent demand response and smart grids: A comprehensive survey
Prabadevi Boopathy, Madhusanka Liyanage, N. Deepa, et al.
Computer Science Review (2024) Vol. 51, pp. 100617-100617
Open Access | Times Cited: 21
Performance Comparison of Deep CNN Models for Detecting Driver’s Distraction
Kathiravan Srinivasan, Lalit Garg, Debajit Datta, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 68, Iss. 3, pp. 4109-4124
Open Access | Times Cited: 84
Social distance monitoring framework using deep learning architecture to control infection transmission of COVID-19 pandemic
Imran Ahmed, Misbah Ahmad, Gwanggil Jeon
Sustainable Cities and Society (2021) Vol. 69, pp. 102777-102777
Open Access | Times Cited: 77
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: 77
Classification of COVID-19 individuals using adaptive neuro-fuzzy inference system
Celestine Iwendi, Kainaat Mahboob, Zarnab Khalid, et al.
Multimedia Systems (2021) Vol. 28, Iss. 4, pp. 1223-1237
Open Access | Times Cited: 76
Deep learning and lung ultrasound for Covid-19 pneumonia detection and severity classification
Marco La Salvia, Gianmarco Secco, Emanuele Torti, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104742-104742
Open Access | Times Cited: 73
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