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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:

Gastrointestinal diseases segmentation and classification based on duo-deep architectures
Mehshan Ahmed Khan, Muhammad Attique Khan, Fawad Ahmed, et al.
Pattern Recognition Letters (2019) Vol. 131, pp. 193-204
Closed Access | Times Cited: 139

Showing 1-25 of 139 citing articles:

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Yogesh Kumar, Apeksha Koul, Ruchi Singla, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 8459-8486
Open Access | Times Cited: 600
Multimodal Brain Tumor Classification Using Deep Learning and Robust Feature Selection: A Machine Learning Application for Radiologists
Muhammad Attique Khan, Imran Ashraf, Majed Alhaisoni, et al.
Diagnostics (2020) Vol. 10, Iss. 8, pp. 565-565
Open Access | Times Cited: 338
A decision support system for multimodal brain tumor classification using deep learning
Muhammad Imran Sharif, Muhammad Attique Khan, Musaed Alhussein, et al.
Complex & Intelligent Systems (2021) Vol. 8, Iss. 4, pp. 3007-3020
Open Access | Times Cited: 187
Multiclass Skin Lesion Classification Using Hybrid Deep Features Selection and Extreme Learning Machine
Farhat Afza, Muhammad Sharif, Muhammad Attique Khan, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 799-799
Open Access | Times Cited: 111
Chest X-ray Classification for the Detection of COVID-19 Using Deep Learning Techniques
Ejaz Ahmad Khan, Muhammad Zia Ur Rehman, Fawad Ahmed, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 1211-1211
Open Access | Times Cited: 92
Efficient Gastrointestinal Disease Classification Using Pretrained Deep Convolutional Neural Network
Muhammad Nouman Noor, Muhammad Nazir, Sajid Ali Khan, et al.
Electronics (2023) Vol. 12, Iss. 7, pp. 1557-1557
Open Access | Times Cited: 41
A novel deep learning instance segmentation model for automated marine oil spill detection
Shamsudeen Temitope Yekeen, Abdul‐Lateef Balogun, Khamaruzaman B. Wan Yusof
ISPRS Journal of Photogrammetry and Remote Sensing (2020) Vol. 167, pp. 190-200
Closed Access | Times Cited: 125
A multilevel paradigm for deep convolutional neural network features selection with an application to human gait recognition
Habiba Arshad, Muhammad Attique Khan, Muhammad Irfan Sharif, et al.
Expert Systems (2020) Vol. 39, Iss. 7
Open Access | Times Cited: 115
Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features
Maryam Nisa, Jamal Hussain Shah, Shansa Kanwal, et al.
Applied Sciences (2020) Vol. 10, Iss. 14, pp. 4966-4966
Open Access | Times Cited: 114
VGG19 Network Assisted Joint Segmentation and Classification of Lung Nodules in CT Images
Muhammad Attique Khan, V. Rajinikanth, Suresh Chandra Satapathy, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2208-2208
Open Access | Times Cited: 99
StomachNet: Optimal Deep Learning Features Fusion for Stomach Abnormalities Classification
Muhammad Attique Khan, Muhammad Shahzad Sarfraz, Majed Alhaisoni, et al.
IEEE Access (2020) Vol. 8, pp. 197969-197981
Open Access | Times Cited: 86
EEG based emotion recognition using fusion feature extraction method
Qiang Gao, Chu-han Wang, Zhe Wang, et al.
Multimedia Tools and Applications (2020) Vol. 79, Iss. 37-38, pp. 27057-27074
Closed Access | Times Cited: 83
A novel optic disc and optic cup segmentation technique to diagnose glaucoma using deep learning convolutional neural network over retinal fundus images
H N Veena, A. Muruganandham, T. Senthil Kumaran
Journal of King Saud University - Computer and Information Sciences (2021) Vol. 34, Iss. 8, pp. 6187-6198
Open Access | Times Cited: 80
Entropy‐controlled deep features selection framework for grape leaf diseases recognition
Alishba Adeel, Muhammad Attique Khan, Tallha Akram, et al.
Expert Systems (2020) Vol. 39, Iss. 7
Closed Access | Times Cited: 78
Gastrointestinal Tract Disease Classification from Wireless Endoscopy Images Using Pretrained Deep Learning Model
J. Yogapriya, Chandran Venkatesan, M. G. Sumithra, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 68
A comprehensive survey of deep learning research on medical image analysis with focus on transfer learning
Sema Atasever, Nuh Azgınoglu, Duygu Sinanç Terzi, et al.
Clinical Imaging (2022) Vol. 94, pp. 18-41
Closed Access | Times Cited: 56
Melanoma segmentation: A framework of improved DenseNet77 and UNET convolutional neural network
Marriam Nawaz, Tahira Nazir, Momina Masood, et al.
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 6, pp. 2137-2153
Closed Access | Times Cited: 54
Nutraceutical Profiling, Bioactive Composition, and Biological Applications of Lepidium sativum L.
Sakshi Painuli, Cristina Quispe, Jesús Herrera‐Bravo, et al.
Oxidative Medicine and Cellular Longevity (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 50
Detection and classification of gastrointestinal disease using convolutional neural network and SVM
Melaku Bitew Haile, Ayodeji Olalekan Salau, Belay Enyew, et al.
Cogent Engineering (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 47
U-Net Model with Transfer Learning Model as a Backbone for Segmentation of Gastrointestinal Tract
Neha Sharma, Sheifali Gupta, Deepika Koundal, et al.
Bioengineering (2023) Vol. 10, Iss. 1, pp. 119-119
Open Access | Times Cited: 39
Hybrid and Deep Learning Approach for Early Diagnosis of Lower Gastrointestinal Diseases
Suliman Mohamed Fati, Ebrahim Mohammed Senan, Ahmad Taher Azar
Sensors (2022) Vol. 22, Iss. 11, pp. 4079-4079
Open Access | Times Cited: 38
Automated classification of polyps using deep learning architectures and few-shot learning
Adrian Krenzer, Stefan Heil, Daniel Fitting, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 31
GIT-Net: An Ensemble Deep Learning-Based GI Tract Classification of Endoscopic Images
Hemalatha Gunasekaran, K. Ramalakshmi, S. Deepa Kanmani, et al.
Bioengineering (2023) Vol. 10, Iss. 7, pp. 809-809
Open Access | Times Cited: 26
Robotic wireless capsule endoscopy: recent advances and upcoming technologies
Qing Cao, Runyi Deng, Yue Pan, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 13
Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI
Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124908-124908
Open Access | Times Cited: 11
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