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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:

A Novel Stacked CNN for Malarial Parasite Detection in Thin Blood Smear Images
Muhammad Umer, Saima Sadiq, Muhammad Ahmad, et al.
IEEE Access (2020) Vol. 8, pp. 93782-93792
Open Access | Times Cited: 89

Showing 1-25 of 89 citing articles:

Fake News Stance Detection Using Deep Learning Architecture (CNN-LSTM)
Muhammad Umer, Zainab Imtiaz, Saleem Ullah, et al.
IEEE Access (2020) Vol. 8, pp. 156695-156706
Open Access | Times Cited: 260
An Efficient CNN Model for COVID-19 Disease Detection Based on X-Ray Image Classification
Aijaz Ahmad Reshi, Furqan Rustam, Arif Mehmood, et al.
Complexity (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 138
Impact of convolutional neural network and FastText embedding on text classification
Muhammad Umer, Zainab Imtiaz, Muhammad Ahmad, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 4, pp. 5569-5585
Open Access | Times Cited: 81
Healthcare Internet of Things (H-IoT): Current Trends, Future Prospects, Applications, Challenges, and Security Issues
Mohit Kumar, Ashwani Kumar, Sahil Verma, et al.
Electronics (2023) Vol. 12, Iss. 9, pp. 2050-2050
Open Access | Times Cited: 80
Emotion Recognition by Textual Tweets Classification Using Voting Classifier (LR-SGD)
Anam Yousaf, Muhammad Umer, Saima Sadiq, et al.
IEEE Access (2020) Vol. 9, pp. 6286-6295
Open Access | Times Cited: 102
COVINet: a convolutional neural network approach for predicting COVID-19 from chest X-ray images
Muhammad Umer, Imran Ashraf, Saleem Ullah, et al.
Journal of Ambient Intelligence and Humanized Computing (2021) Vol. 13, Iss. 1, pp. 535-547
Open Access | Times Cited: 98
COVID-19: Automatic Detection of the Novel Coronavirus Disease From CT Images Using an Optimized Convolutional Neural Network
Aniello Castiglione, Pandi Vijayakumar, Michele Nappi, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 9, pp. 6480-6488
Open Access | Times Cited: 96
Discrepancy detection between actual user reviews and numeric ratings of Google App store using deep learning
Saima Sadiq, Muhammad Umer, Saleem Ullah, et al.
Expert Systems with Applications (2021) Vol. 181, pp. 115111-115111
Closed Access | Times Cited: 91
Wireless Capsule Endoscopy Bleeding Images Classification Using CNN Based Model
Furqan Rustam, Muhammad Abubakar Siddique, Hafeez Ur Rehman Siddiqui, et al.
IEEE Access (2021) Vol. 9, pp. 33675-33688
Open Access | Times Cited: 90
RFCNN: Traffic Accident Severity Prediction Based on Decision Level Fusion of Machine and Deep Learning Model
Mubariz Manzoor, Muhammad Umer, Saima Sadiq, et al.
IEEE Access (2021) Vol. 9, pp. 128359-128371
Open Access | Times Cited: 66
Predicting Household Electric Power Consumption Using Multi-step Time Series with Convolutional LSTM
Lucia Cascone, Saima Sadiq, Saleem Ullah, et al.
Big Data Research (2022) Vol. 31, pp. 100360-100360
Closed Access | Times Cited: 48
Explainable Transformer-Based Deep Learning Model for the Detection of Malaria Parasites from Blood Cell Images
Md. Robiul Islam, Md. Nahiduzzaman, Md. Omaer Faruq Goni, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4358-4358
Open Access | Times Cited: 39
Deep Learning and Machine Learning for Malaria Detection: Overview, Challenges and Future Directions
Imen Jdey, Ghazala Hcini, Hela Ltifi
International Journal of Information Technology & Decision Making (2023) Vol. 23, Iss. 05, pp. 1745-1776
Open Access | Times Cited: 23
White blood cells classification using multi-fold pre-processing and optimized CNN model
Oumaima Saidani, Muhammad Umer, Nazik Alturki, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
An optimised YOLOv4 deep learning model for efficient malarial cell detection in thin blood smear images
Dhevisha Sukumarran, Khairunnisa Hasikin‬, Anis Salwa Mohd Khairuddin, et al.
Parasites & Vectors (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 8
Multi-stage malaria parasite recognition by deep learning
Sen Li, Zeyu Du, Xiangjie Meng, et al.
GigaScience (2021) Vol. 10, Iss. 6
Open Access | Times Cited: 46
Deep learning for microscopic examination of protozoan parasites
Chi Zhang, Hao Jiang, Hanlin Jiang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 1036-1043
Open Access | Times Cited: 34
A comparative analysis of deep learning architectures on high variation malaria parasite classification dataset
Aimon Rahman, Hasib Zunair, Tamanna Rahman Reme, et al.
Tissue and Cell (2020) Vol. 69, pp. 101473-101473
Closed Access | Times Cited: 46
Automatic detection and localization of thighbone fractures in X-ray based on improved deep learning method
Bin Guan, Jinkun Yao, Shaoquan Wang, et al.
Computer Vision and Image Understanding (2022) Vol. 216, pp. 103345-103345
Closed Access | Times Cited: 27
Computational Methods for Automated Analysis of Malaria Parasite Using Blood Smear Images: Recent Advances
Shankar Shambhu, Deepika Koundal, Prasenjit Das, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-18
Open Access | Times Cited: 26
Pepper bell leaf disease detection and classification using optimized convolutional neural network
Hassan M. H. Mustafa, Muhammad Umer, Umair Hafeez, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 8, pp. 12065-12080
Closed Access | Times Cited: 26
Machine Learning and Its Applications for Protozoal Pathogens and Protozoal Infectious Diseases
Rui-Si Hu, Abd El‐Latif Hesham, Quan Zou
Frontiers in Cellular and Infection Microbiology (2022) Vol. 12
Open Access | Times Cited: 23
Tile-based microscopic image processing for malaria screening using a deep learning approach
Fetulhak Abdurahman Shewajo, Kinde Anlay Fante
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 14
Deep learning-assisted medical image compression challenges and opportunities: systematic review
Nour El Houda Bourai, Hayet Farida Merouani, Akila Djebbar
Neural Computing and Applications (2024) Vol. 36, Iss. 17, pp. 10067-10108
Closed Access | Times Cited: 5
Comparative Analysis of the Identification and Categorization of the Malaria Parasite Employing Recent Amalgamated Machine Learning Methodologies
Tamal Kumar Kundu, Dinesh Kumar Anguraj, R. Nidhya, et al.
(2025), pp. 321-336
Closed Access
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