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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:

Cervical Cancer Diagnosis Based on Multi-Domain Features Using Deep Learning Enhanced by Handcrafted Descriptors
Omneya Attallah
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1916-1916
Open Access | Times Cited: 40

Showing 1-25 of 40 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
Enhanced image diagnosing approach in medicine using quantum adaptive machine learning techniques
Sajja Suneel, R. Krishnamoorthy, Anandbabu Gopatoti, et al.
Optical and Quantum Electronics (2024) Vol. 56, Iss. 4
Closed Access | Times Cited: 17
Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings
Heidi Lindroth, Keivan Nalaie, Roshini Raghu, et al.
Journal of Imaging (2024) Vol. 10, Iss. 4, pp. 81-81
Open Access | Times Cited: 17
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
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
MonDiaL-CAD: Monkeypox diagnosis via selected hybrid CNNs unified with feature selection and ensemble learning
Omneya Attallah
Digital Health (2023) Vol. 9
Open Access | Times Cited: 15
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
Robust Multi-Subtype Identification of Breast Cancer Pathological Images Based on a Dual-Branch Frequency Domain Fusion Network
Jianjun Li, Kaiyue Wang, Xiaozhe Jiang
Sensors (2025) Vol. 25, Iss. 1, pp. 240-240
Open Access
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
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
A Novel Image Classification Method Based on Residual Network, Inception, and Proposed Activation Function
Ali Abdullah Yahya, Kui Liu, Ammar Hawbani, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 2976-2976
Open Access | Times Cited: 10
MSENet: Mean and standard deviation based ensemble network for cervical cancer detection
Rishav Pramanik, Bihan Banerjee, Ram Sarkar
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106336-106336
Closed Access | Times Cited: 10
Analysis of WSI Images by Hybrid Systems with Fusion Features for Early Diagnosis of Cervical Cancer
Mohammed Hamdi, Ebrahim Mohammed Senan, Bakri Awaji, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2538-2538
Open Access | Times Cited: 9
Current Status of Machine Learning and Artificial Intelligence in Cervical Cancer Screening and Diagnosis: A Systematic Review
Rushin Patel, Mrunal Patel, Zalak Patel, et al.
Global Academic Journal of Medical Sciences (2024) Vol. 6, Iss. 01, pp. 38-48
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
Improved Bald Eagle Search Optimization With Deep Learning-Based Cervical Cancer Detection and Classification
Alanoud Al Mazroa, Mohamad Khairi Ishak, Ayman Aljarbouh, et al.
IEEE Access (2023) Vol. 11, pp. 135175-135184
Open Access | Times Cited: 5
An Enhanced Fuzzy Deep Learning (IFDL) Model for Pap‐Smear Cell Image Classification
S. Rakesh, Smrita Barua, D. Anitha Kumari, et al.
(2024), pp. 135-148
Closed Access | Times Cited: 1
Enhancing cervical precancerous lesion detection using African Vulture Optimization Algorithm with Deep Learning model
Jiayu Song, Le Wang, Jiazhuo Yan, et al.
Biomedical Signal Processing and Control (2024) Vol. 97, pp. 106665-106665
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
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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