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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:

Internet of health things-driven deep learning system for detection and classification of cervical cells using transfer learning
Aditya Khamparia, Deepak Gupta, Victor Hugo C. de Albuquerque, et al.
The Journal of Supercomputing (2020) Vol. 76, Iss. 11, pp. 8590-8608
Closed Access | Times Cited: 182

Showing 1-25 of 182 citing articles:

COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm
Celestine Iwendi, Ali Kashif Bashir, Atharva Peshkar, et al.
Frontiers in Public Health (2020) Vol. 8
Open Access | Times Cited: 461
Brain tumor detection and classification using machine learning: a comprehensive survey
Javeria Amin, Muhammad Sharif, Anandakumar Haldorai, et al.
Complex & Intelligent Systems (2021) Vol. 8, Iss. 4, pp. 3161-3183
Open Access | Times Cited: 275
DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques
Md Mamunur Rahaman, Chen Li, Yudong Yao, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104649-104649
Open Access | Times Cited: 200
Diagnosis of breast cancer based on modern mammography using hybrid transfer learning
Aditya Khamparia, Subrato Bharati, Prajoy Podder, et al.
Multidimensional Systems and Signal Processing (2021) Vol. 32, Iss. 2, pp. 747-765
Open Access | Times Cited: 190
An internet of health things‐driven deep learning framework for detection and classification of skin cancer using transfer learning
Aditya Khamparia, Prakash Kumar Singh, Poonam Rani, et al.
Transactions on Emerging Telecommunications Technologies (2020) Vol. 32, Iss. 7
Closed Access | Times Cited: 150
BiLSTM deep neural network model for imbalanced medical data of IoT systems
Marcin Woźniak, Michał Wieczorek, Jakub Siłka
Future Generation Computer Systems (2022) Vol. 141, pp. 489-499
Closed Access | Times Cited: 105
BCD-WERT: a novel approach for breast cancer detection using whale optimization based efficient features and extremely randomized tree algorithm
Shafaq Abbas, Zunera Jalil, Abdul Rehman Javed, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e390-e390
Open Access | Times Cited: 104
Enhancing cervical cancer detection and robust classification through a fusion of deep learning models
Sandeep Kumar Mathivanan, Divya Francis, Saravanan Srinivasan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 19
Diagnosis of heart diseases by a secure Internet of Health Things system based on Autoencoder Deep Neural Network
Ömer Deperlioğlu, Utku Köse, Deepak Gupta, et al.
Computer Communications (2020) Vol. 162, pp. 31-50
Open Access | Times Cited: 79
IoT Enabled Technology in Secured Healthcare: Applications, Challenges and Future Directions
Sukriti Goyal, Nikhil Sharma, Bharat Bhushan, et al.
Studies in systems, decision and control (2020), pp. 25-48
Closed Access | Times Cited: 77
Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions
Ons Aouedi, Alessio Sacco, Kandaraj Piamrat, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 790-803
Open Access | Times Cited: 68
Pattern Descriptors Orientation and MAP Firefly Algorithm Based Brain Pathology Classification Using Hybridized Machine Learning Algorithm
B. Deepa, M. Murugappan, M. G. Sumithra, et al.
IEEE Access (2021) Vol. 10, pp. 3848-3863
Open Access | Times Cited: 58
Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: From convolutional neural networks to visual transformers
Wanli Liu, Chen Li, Md Mamunur Rahaman, et al.
Computers in Biology and Medicine (2021) Vol. 141, pp. 105026-105026
Open Access | Times Cited: 57
Improving cervical cancer classification with imbalanced datasets combining taming transformers with T2T-ViT
Chen Zhao, Renjun Shuai, Li Ma, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 17, pp. 24265-24300
Open Access | Times Cited: 41
CAM-VT: A Weakly supervised cervical cancer nest image identification approach using conjugated attention mechanism and visual transformer
Zizhen Fan, Xiangchen Wu, Changzhong Li, et al.
Computers in Biology and Medicine (2023) Vol. 162, pp. 107070-107070
Closed Access | Times Cited: 35
A systematic review of deep learning-based cervical cytology screening: from cell identification to whole slide image analysis
Peng Jiang, Xuekong Li, Hui Shen, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. S2, pp. 2687-2758
Open Access | Times Cited: 26
Survival study on deep learning techniques for IoT enabled smart healthcare system
Ashok Kumar Munnangi, Satheeshwaran UdhayaKumar, Vinayakumar Ravi, et al.
Health and Technology (2023) Vol. 13, Iss. 2, pp. 215-228
Open Access | Times Cited: 24
An attention-based deep learning for acute lymphoblastic leukemia classification
Malathy Jawahar, L. Jani Anbarasi, Sathiya Narayanan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Human pose, hand and mesh estimation using deep learning: a survey
Mukhiddin Toshpulatov, Wookey Lee, Suan Lee, et al.
The Journal of Supercomputing (2022) Vol. 78, Iss. 6, pp. 7616-7654
Open Access | Times Cited: 37
CES Blocks—A Novel Chaotic Encryption Schemes-Based Blockchain System for an IoT Environment
R. Durga, E. Poovammal, Kadiyala Ramana, et al.
IEEE Access (2022) Vol. 10, pp. 11354-11371
Open Access | Times Cited: 35
Deep Learning Enabled Disease Diagnosis for Secure Internet of Medical Things
Sultan Ahmad, Shakir Khan, Mohamed F. Alajmi, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 73, Iss. 1, pp. 965-979
Open Access | Times Cited: 30
A Deep Neural Network for Cervical Cell Classification Based on Cytology Images
Ming Fang, Xiujuan Lei, Bo Liao, et al.
IEEE Access (2022) Vol. 10, pp. 130968-130980
Open Access | Times Cited: 30
Brain tumor segmentation in multimodal MRI images using novel LSIS operator and deep learning
T. Ruba, R. Tamilselvi, M. Parisa Beham
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 10, pp. 13163-13177
Closed Access | Times Cited: 29
Privacy Preserved Cervical Cancer Detection Using Convolutional Neural Networks Applied to Pap Smear Images
Shtwai Alsubai, Abdullah Alqahtani, Mohemmed Sha, et al.
Computational and Mathematical Methods in Medicine (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 21
An Integrated Framework of Two-Stream Deep Learning Models Optimal Information Fusion for Fruits Disease Recognition
Unber Zahra, Muhammad Attique Khan, Majed Alhaisoni, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2023) Vol. 17, pp. 3038-3052
Open Access | Times Cited: 18
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