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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:

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 51-75 of 131 citing articles:

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
Automated detection of retinopathy of prematurity by deep attention network
Baiying Lei, Xianlu Zeng, Shan Huang, et al.
Multimedia Tools and Applications (2021) Vol. 80, Iss. 30, pp. 36341-36360
Closed Access | Times Cited: 20
Deep Feature Fusion and Optimization-Based Approach for Stomach Disease Classification
Farah Mohammad, Muna Al‐Razgan
Sensors (2022) Vol. 22, Iss. 7, pp. 2801-2801
Open Access | Times Cited: 15
Time-based self-supervised learning for Wireless Capsule Endoscopy
Guillem Pascual, Pablo Laiz, Albert Garcia Sánchez, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105631-105631
Open Access | Times Cited: 14
Automatic Detection of Tuberculosis Using VGG19 with Seagull-Algorithm
Ramya Mohan, Seifedine Kadry, V. Rajinikanth, et al.
Life (2022) Vol. 12, Iss. 11, pp. 1848-1848
Open Access | Times Cited: 14
A Comparative Analysis of Optimization Algorithms for Gastrointestinal Abnormalities Recognition and Classification Based on Ensemble XcepNet23 and ResNet18 Features
Javeria Naz, Muhammad Imran Sharif, Muhammad Sharif, et al.
Biomedicines (2023) Vol. 11, Iss. 6, pp. 1723-1723
Open Access | Times Cited: 8
Pedestrian identification using motion-controlled deep neural network in real-time visual surveillance
Muhammad Zahid, Muhammad Attique Khan, Faisal Azam, et al.
Soft Computing (2021) Vol. 27, Iss. 1, pp. 453-469
Closed Access | Times Cited: 18
Gastrointestinal Tract Infections Classification Using Deep Learning
Muhammad Ramzan, Mudassar Raza, Muhammad Sharif, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 69, Iss. 3, pp. 3239-3257
Open Access | Times Cited: 18
Federated Deep Learning for Wireless Capsule Endoscopy Analysis: Enabling Collaboration Across Multiple Data Centers for Robust Learning of Diverse Pathologies
Haroon Wahab, Irfan Mehmood, Hassan Ugail, et al.
Future Generation Computer Systems (2023) Vol. 152, pp. 361-371
Open Access | Times Cited: 7
Development of a multi-fusion convolutional neural network (MF-CNN) for enhanced gastrointestinal disease diagnosis in endoscopy image analysis
Tanzim Hossain, F. M. Javed Mehedi Shamrat, Xujuan Zhou, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1950-e1950
Open Access | Times Cited: 2
Evolving convolutional neural networks by symbiotic organisms search algorithm for image classification
Fahui Miao, Li Yao, Xiaojie Zhao
Applied Soft Computing (2021) Vol. 109, pp. 107537-107537
Closed Access | Times Cited: 17
Segmentation and Classification of Stomach Abnormalities Using Deep Learning
Javeria Naz, Muhammad Attique Khan, Majed Alhaisoni, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 69, Iss. 1, pp. 607-625
Open Access | Times Cited: 17
A Cascaded Design of Best Features Selection for Fruit Diseases Recognition
Faiz Ali Shah, Muhammad Attique Khan, Muhammad Sharif, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 70, Iss. 1, pp. 1491-1507
Open Access | Times Cited: 17
A Multilevel Deep Feature Selection Framework for Diabetic Retinopathy Image Classification
Farrukh Zia, Isma Irum, Nadia N. Qadri, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 70, Iss. 2, pp. 2261-2276
Open Access | Times Cited: 17
Development of a Framework for Preserving the Disease-Evidence-Information to Support Efficient Disease Diagnosis
V. Rajinikanth, Seifedine Kadry
International Journal of Data Warehousing and Mining (2021) Vol. 17, Iss. 2, pp. 63-84
Closed Access | Times Cited: 16
Multi-stage biomedical feature selection extraction algorithm for cancer detection
Ismail Keshta, Pallavi S. Deshpande, Mohammad Shabaz, et al.
SN Applied Sciences (2023) Vol. 5, Iss. 5
Open Access | Times Cited: 6
Six application scenarios of artificial intelligence in the precise diagnosis and treatment of liver cancer
Qi Lang, Chongli Zhong, Zhiyun Liang, et al.
Artificial Intelligence Review (2021) Vol. 54, Iss. 7, pp. 5307-5346
Closed Access | Times Cited: 15
HRNetO: Human Action Recognition Using Unified Deep Features Optimization Framework
Tehseen Ahsan, Sohail Khalid, Shaheryar Najam, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 1, pp. 1089-1105
Open Access | Times Cited: 5
Automated classification of retinal images into AMD/non-AMD Class—a study using multi-threshold and Gassian-filter enhanced images
V. Rajinikanth, R. Sivakumar, D. Jude Hemanth, et al.
Evolutionary Intelligence (2021) Vol. 14, Iss. 2, pp. 1163-1171
Closed Access | Times Cited: 12
Gastric Tract Disease Recognition Using Optimized Deep Learning Features
Zainab Nayyar, Muhammad Attique Khan, Musaed Alhussein, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 68, Iss. 2, pp. 2041-2056
Open Access | Times Cited: 12
One-stage object detection knowledge distillation via adversarial learning
Na Dong, Yongqiang Zhang, Mingli Ding, et al.
Applied Intelligence (2021) Vol. 52, Iss. 4, pp. 4582-4598
Closed Access | Times Cited: 12
Ensembles of Deep Learning Framework for Stomach Abnormalities Classification
Talha Saeed, Chu Kiong Loo, Muhammad Shahreeza Safiruz Kassim
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 70, Iss. 3, pp. 4357-4372
Open Access | Times Cited: 12
Machine learning techniques to detect bleeding frame and area in wireless capsule endoscopy video
Ashok Vajravelu, K. Senthamil Selvan, Muhammad Mahadi Abdul Jamil, et al.
Journal of Intelligent & Fuzzy Systems (2022) Vol. 44, Iss. 1, pp. 353-364
Closed Access | Times Cited: 8
Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution
Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, et al.
Singapore Medical Journal (2024) Vol. 65, Iss. 3, pp. 133-140
Open Access | Times Cited: 1
An optimized ensemble model bfased on cuckoo search with Levy Flight for automated gastrointestinal disease detection
Zafran Waheed, Jinsong Gui
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1

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