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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:

GestroNet: A Framework of Saliency Estimation and Optimal Deep Learning Features Based Gastrointestinal Diseases Detection and Classification
Muhammad Attique Khan, Naveera Sahar, Wazir Zada Khan, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2718-2718
Open Access | Times Cited: 20

Showing 20 citing articles:

A New Approach for Gastrointestinal Tract Findings Detection and Classification: Deep Learning-Based Hybrid Stacking Ensemble Models
Esra Sivari, Erkan Bostancı, Mehmet Serdar Güzel, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 720-720
Open Access | Times Cited: 26
GastroNet: A robust attention‐based deep learning and cosine similarity feature selection framework for gastrointestinal disease classification from endoscopic images
Muhammad Nouman Noor, Muhammad Nazir, Imran Ashraf, et al.
CAAI Transactions on Intelligence Technology (2023)
Open Access | Times Cited: 26
Privacy Preserving Image Encryption with Optimal Deep Transfer Learning Based Accident Severity Classification Model
Uddagiri Sirisha, B. Sai Chandana
Sensors (2023) Vol. 23, Iss. 1, pp. 519-519
Open Access | Times Cited: 24
ViTCA-Net: a framework for disease detection in video capsule endoscopy images using a vision transformer and convolutional neural network with a specific attention mechanism
Yassine Oukdach, Zakaria Kerkaou, Mohamed El Ansari, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 23, pp. 63635-63654
Closed Access | Times Cited: 9
Modified Salp Swarm Algorithm With Deep Learning Based Gastrointestinal Tract Disease Classification on Endoscopic Images
Marwa Obayya, Fahd N. Al‐Wesabi, Mashael Maashi, et al.
IEEE Access (2023) Vol. 11, pp. 25959-25967
Open Access | Times Cited: 15
Efficient-gastro: optimized EfficientNet model for the detection of gastrointestinal disorders using transfer learning and wireless capsule endoscopy images
Shaha Al‐Otaibi, Amjad Rehman, Muhammad Mujahid, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1902-e1902
Open Access | Times Cited: 4
Interpretable deep learning architecture for gastrointestinal disease detection: A Tri-stage approach with PCA and XAI
Md. Faysal Ahamed, Fariya Bintay Shafi, Md. Nahiduzzaman, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109503-109503
Closed Access | Times Cited: 3
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
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
Review on enhancing clinical decision support system using machine learning
Anum Masood, Usman Naseem, Junaid Rashid, et al.
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 2
Deep Convolutional Neural Networks for Accurate Classification of Gastrointestinal Tract Syndromes
Z. Khan, Muhammad Ramzan, Mudassar Raza, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 1, pp. 1207-1225
Open Access | Times Cited: 2
MSRFNet for skin lesion segmentation and deep learning with hybrid optimization for skin cancer detection
Diwan Baskaran, Nagamani Yanda, Suneetha Merugula, et al.
The Imaging Science Journal (2023) Vol. 71, Iss. 7, pp. 616-635
Closed Access | Times Cited: 5
Hybrid Models for Endoscopy Image Analysis for Early Detection of Gastrointestinal Diseases Based on Fused Features
Ibrahim Abdulrab Ahmed, Ebrahim Mohammed Senan, Hamzeh Salameh Ahmad Shatnawi
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1758-1758
Open Access | Times Cited: 5
TFCNet: A texture-aware and fine-grained feature compensated polyp detection network
Xiaoying Pan, Yaya Mu, Chenyang Ma, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108144-108144
Closed Access | Times Cited: 1
Hybrid Multimodal Machine Learning Driven Android Malware Recognition and Classification Model
A. Arthi, Kapil Aggarwal, R Karthikeyan, et al.
2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (2023), pp. 1555-1560
Closed Access | Times Cited: 2
Integrating deep learning for accurate gastrointestinal cancer classification: a comprehensive analysis of MSI and MSS patterns using histopathology data
Abeer A. Wafa, Reham M. Essa, Amr A. Abohany, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 34, pp. 21273-21305
Open Access
Advanced CNN models in gastric cancer diagnosis: enhancing endoscopic image analysis with deep transfer learning
Priya Bhardwaj, SeongKi Kim, Apeksha Koul, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
AI in gastrointestinal disease detection: overcoming segmentation challenges with Coati optimization strategy
Manikandan Jagarajan, Ramkumar Jayaraman
Evolving Systems (2024) Vol. 16, Iss. 1
Closed Access
Combining CNNs and 2-D visualization method for GI tract lesions classification
Shima Ayyoubi Nezhad, Toktam Khatibi, Masoudreza Sohrabi
Multimedia Tools and Applications (2023) Vol. 83, Iss. 6, pp. 15825-15844
Closed Access | Times Cited: 1
Endoscopic Image Analysis for Gastrointestinal Tract Disease Diagnosis Using Nature Inspired Algorithm With Deep Learning Approach
Abdulrahman Alruban, Eatedal Alabdulkreem, Majdy M. Eltahir, et al.
IEEE Access (2023) Vol. 11, pp. 130022-130030
Open Access | Times Cited: 1
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