Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Computer-Aided Gastrointestinal Diseases Analysis From Wireless Capsule Endoscopy: A Framework of Best Features Selection
Muhammad Attique Khan, Seifedine Kadry, Majed Alhaisoni, et al.
IEEE Access (2020) Vol. 8, pp. 132850-132859
Open Access | Times Cited: 131

Showing 26-50 of 131 citing articles:

GASTRO-CADx: a three stages framework for diagnosing gastrointestinal diseases
Omneya Attallah, Maha Sharkas
PeerJ Computer Science (2021) Vol. 7, pp. e423-e423
Open Access | Times Cited: 36
An Ensemble of Optimal Deep Learning Features for Brain Tumor Classification
Ahsan Aziz, Muhammad Attique, Usman Tariq, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 69, Iss. 2, pp. 2653-2670
Open Access | Times Cited: 36
Skin Lesion Segmentation and Classification Using Conventional and Deep Learning Based Framework
Amina Bibi, Muhamamd Attique Khan, Muhammad Younus Javed, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 71, Iss. 2, pp. 2477-2495
Open Access | Times Cited: 32
A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images
Hassaan Haider Syed, Muhammad Attique Khan, Usman Tariq, et al.
Behavioural Neurology (2021) Vol. 2021, pp. 1-13
Open Access | Times Cited: 32
Diagnosing gastrointestinal diseases from endoscopy images through a multi-fused CNN with auxiliary layers, alpha dropouts, and a fusion residual block
Francis Jesmar P. Montalbo
Biomedical Signal Processing and Control (2022) Vol. 76, pp. 103683-103683
Closed Access | Times Cited: 26
Machine learning based small bowel video capsule endoscopy analysis: Challenges and opportunities
Haroon Wahab, Irfan Mehmood, Hassan Ugail, et al.
Future Generation Computer Systems (2023) Vol. 143, pp. 191-214
Open Access | Times Cited: 14
Transmitter Adaptation and Wireless Power Control for Capsule Endoscopy
Heng Zhang, Zheng Li, Chi-Kwan Lee
IEEE Transactions on Power Electronics (2024) Vol. 39, Iss. 4, pp. 4884-4894
Closed Access | Times Cited: 5
Modified residual attention network for abnormalities segmentation and detection in WCE images
Said Charfi, Mohamed El Ansari, Lahcen Koutti, et al.
Soft Computing (2024) Vol. 28, Iss. 9-10, pp. 6923-6936
Closed Access | Times Cited: 4
Lossless compression of wireless capsule image using the Tetrolet transform coupled with modified capsule SPIHT
Linu Babu P, S. Jana
Australian Journal of Electrical & Electronics Engineering (2025), pp. 1-12
Closed Access
Efficient computer‐aided diagnosis technique for leukaemia cancer detection
Alan Anwer Abdulla
IET Image Processing (2020) Vol. 14, Iss. 17, pp. 4435-4440
Closed Access | Times Cited: 33
Automated detection of age-related macular degeneration using a pre-trained deep-learning scheme
Seifedine Kadry, V. Rajinikanth, Rubén González Crespo, et al.
The Journal of Supercomputing (2021) Vol. 78, Iss. 5, pp. 7321-7340
Closed Access | Times Cited: 31
Sub-classification of invasive and non-invasive cancer from magnification independent histopathological images using hybrid neural networks
Sumit Kumar, Shallu Sharma
Evolutionary Intelligence (2021) Vol. 15, Iss. 3, pp. 1531-1543
Closed Access | Times Cited: 29
Multiclass Stomach Diseases Classification Using Deep Learning Features Optimization
Muhammad Attique Khan, Abdul Majid, N. Hussain, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 67, Iss. 3, pp. 3381-3399
Open Access | Times Cited: 28
A deep survey on supervised learning based human detection and activity classification methods
Muhammad Attique Khan, Mamta Mittal, Lalit Mohan Goyal, et al.
Multimedia Tools and Applications (2021) Vol. 80, Iss. 18, pp. 27867-27923
Closed Access | Times Cited: 28
COVID19 Classification Using CT Images via Ensembles of Deep Learning Models
Abdul Majid, Muhammad Attique Khan, Yunyoung Nam, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 69, Iss. 1, pp. 319-337
Open Access | Times Cited: 26
Machine-Learning-Scheme to Detect Choroidal-Neovascularization in Retinal OCT Image
V. Rajinikanth, Seifedine Kadry, Robertas Damaševičius, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 26
A Blockchain based Framework for Stomach Abnormalities Recognition
Muhammad Attique Khan, Inzamam Mashood Nasir, Muhammad Sharif, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 67, Iss. 1, pp. 141-158
Open Access | Times Cited: 24
Gastrointestinal tract disease segmentation and classification in wireless capsule endoscopy using intelligent deep learning model
Vrushali Raut, Reena Gunjan, V. V. Shete, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2022) Vol. 11, Iss. 3, pp. 606-622
Closed Access | Times Cited: 17
Hybrid Techniques for Diagnosing Endoscopy Images for Early Detection of Gastrointestinal Disease Based on Fusion Features
Zeyad Ghaleb Al-Mekhlafi, Ebrahim Mohammed Senan, Jalawi Sulaiman Alshudukhi, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-20
Open Access | Times Cited: 9
DCDS-Net: Deep transfer network based on depth-wise separable convolution with residual connection for diagnosing gastrointestinal diseases
Sohaib Asif, Ming Zhao, Fengxiao Tang, et al.
Biomedical Signal Processing and Control (2023) Vol. 90, pp. 105866-105866
Closed Access | Times Cited: 9
Hybrid Deep Learning Model for Endoscopic Lesion Detection and Classification Using Endoscopy Videos
M Shahbaz Ayyaz, M. Ikram Ullah Lali, Mubbashar Hussain, et al.
Diagnostics (2021) Vol. 12, Iss. 1, pp. 43-43
Open Access | Times Cited: 22
Computational learning of features for automated colonic polyp classification
Kangkana Bora, M. K. Bhuyan, Kunio Kasugai, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 20
Automatic diagnosis of coronavirus (COVID-19) using shape and texture characteristics extracted from X-Ray and CT-Scan images
Maryam Imani
Biomedical Signal Processing and Control (2021) Vol. 68, pp. 102602-102602
Open Access | Times Cited: 20
Integrated CWT-CNN for Epilepsy Detection Using Multiclass EEG Dataset
Sidra Naseem, Kashif Javed, Muhammad Jawad Khan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 69, Iss. 1, pp. 471-486
Open Access | Times Cited: 20
Tuberculosis detection in chest X-ray using Mayfly-algorithm optimized dual-deep-learning features
M. P. Rajakumar, R. Sonia, B. Uma Maheswari, et al.
Journal of X-Ray Science and Technology (2021) Vol. 29, Iss. 6, pp. 961-974
Closed Access | Times Cited: 20

Scroll to top