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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:

CerCan·Net: Cervical cancer classification model via multi-layer feature ensembles of lightweight CNNs and transfer learning
Omneya Attallah
Expert Systems with Applications (2023) Vol. 229, pp. 120624-120624
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Deep Learning for Medical Image-Based Cancer Diagnosis
Xiaoyan Jiang, Zuojin Hu, Shuihua Wang‎, et al.
Cancers (2023) Vol. 15, Iss. 14, pp. 3608-3608
Open Access | Times Cited: 97
MaxCerVixT: A novel lightweight vision transformer-based Approach for precise cervical cancer detection
İshak Paçal
Knowledge-Based Systems (2024) Vol. 289, pp. 111482-111482
Closed Access | Times Cited: 49
Skin-CAD: Explainable deep learning classification of skin cancer from dermoscopic images by feature selection of dual high-level CNNs features and transfer learning
Omneya Attallah
Computers in Biology and Medicine (2024) Vol. 178, pp. 108798-108798
Closed Access | Times Cited: 16
Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform
Maha Sharkas, Omneya Attallah
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Multitask Deep Learning-Based Pipeline for Gas Leakage Detection via E-Nose and Thermal Imaging Multimodal Fusion
Omneya Attallah
Chemosensors (2023) Vol. 11, Iss. 7, pp. 364-364
Open Access | Times Cited: 15
ADHD-AID: Aiding Tool for Detecting Children’s Attention Deficit Hyperactivity Disorder via EEG-Based Multi-Resolution Analysis and Feature Selection
Omneya Attallah
Biomimetics (2024) Vol. 9, Iss. 3, pp. 188-188
Open Access | Times Cited: 6
Skin cancer classification leveraging multi-directional compact convolutional neural network ensembles and gabor wavelets
Omneya Attallah
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Comparison of deep transfer learning models for classification of cervical cancer from pap smear images
Harmanpreet Kaur, Reecha Sharma, Jagroop Kaur
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Lung and Colon Cancer Classification Using Multiscale Deep Features Integration of Compact Convolutional Neural Networks and Feature Selection
Omneya Attallah
Technologies (2025) Vol. 13, Iss. 2, pp. 54-54
Open Access
TransPapCanCervix: An Enhanced Transfer Learning‐Based Ensemble Model for Cervical Cancer Classification
Barkha Bhavsar, Bela Shrimali
Computational Intelligence (2025) Vol. 41, Iss. 1
Closed Access
Convolutional Block Attention Module and Parallel Branch Architectures for Cervical Cell Classification
Zafer Cömert, Ferat Efil, Muammer Türkoğlu
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 2
Closed Access
Beyond Spatial: A Wavelet Fusion-Based Deep Learning CAD for Skin Cancer Diagnosis
Omneya Attallah
Communications in computer and information science (2025), pp. 40-53
Closed Access
Improved CervicalNet: integrating attention mechanisms and graph convolutions for cervical cancer segmentation
K. Abinaya, B. Sivakumar
International Journal of Machine Learning and Cybernetics (2025)
Closed Access
Acute lymphocytic leukemia detection and subtype classification via extended wavelet pooling based-CNNs and statistical-texture features
Omneya Attallah
Image and Vision Computing (2024) Vol. 147, pp. 105064-105064
Closed Access | Times Cited: 4
Lightweight Low-Rank Adaptation Vision Transformer Framework for Cervical Cancer Detection and Cervix Type Classification
Zhenchen Hong, Jingwei Xiong, Yang Han, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 468-468
Open Access | Times Cited: 3
High Precision Cervical Precancerous Lesion Classification Method Based on ConvNeXt
Jing Tang, Ting Zhang, Zeyu Gong, et al.
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1424-1424
Open Access | Times Cited: 9
Deep Learning Approach for Automated Data Augmentation and Multi-class Classification of Pap Smear Images
Sanjana Nayar, D. Lakshmi Priya, J Vinitha Panicker
Procedia Computer Science (2024) Vol. 235, pp. 2205-2214
Open Access | Times Cited: 2
A lightweight deep learning method to identify different types of cervical cancer
Md Humaion Kabir Mehedi, Moumita Khandaker, Shaneen Ara, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Enhancing Cervical Pre-Cancerous Classification Using Advanced Vision Transformer
Manal Darwish, Mohamad Ziad Altabel, Rahib H. Abiyev
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2884-2884
Open Access | Times Cited: 7
Explainable Screening and Classification of Cervical Cancer Cells with Enhanced ResNet-50 and LIME
Baddireddi Sree Chandana, Chakrika Kommana, G Sethu Madhav, et al.
(2024), pp. 1-7
Closed Access | Times Cited: 1
A Lightweight and High-Precision Passion Fruit YOLO Detection Model for Deployment in Embedded Devices
Qiyan Sun, Fuli Li, Chentao He, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4942-4942
Open Access | Times Cited: 1
A systematic review on deep learning based methods for cervical cell image analysis
Ming Fang, Bo Liao, Xiujuan Lei, et al.
Neurocomputing (2024), pp. 128630-128630
Open Access | Times Cited: 1
A Hybrid Trio-Deep Feature Fusion Model for Improved Skin Cancer Classification: Merging Dermoscopic and DCT Images
Omneya Attallah
Technologies (2024) Vol. 12, Iss. 10, pp. 190-190
Open Access | Times Cited: 1
An accurate prediction for respiratory diseases using deep learning on bronchoscopy diagnosis images
Weiling Sun, Pengfei Yan, Minglei Li, et al.
Journal of Advanced Research (2024)
Open Access | Times Cited: 1
RiPa-Net: Recognition of Rice Paddy Diseases with Duo-Layers of CNNs Fostered by Feature Transformation and Selection
Omneya Attallah
Biomimetics (2023) Vol. 8, Iss. 5, pp. 417-417
Open Access | Times Cited: 3
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