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:

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

Showing 15 citing articles:

CG‐Net: A novel CNN framework for gastrointestinal tract diseases classification
Samra Siddiqui, Tallha Akram, Imran Ashraf, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 3
Closed Access | Times Cited: 8

Explainable AI-driven model for gastrointestinal cancer classification
Faisal Binzagr
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 5

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

Multi-classification deep learning models for detection of ulcerative colitis, polyps, and dyed-lifted polyps using wireless capsule endoscopy images
Hassaan Malik, Ahmad Naeem, Abolghasem Sadeghi‐Niaraki, et al.
Complex & Intelligent Systems (2023) Vol. 10, Iss. 2, pp. 2477-2497
Open Access | Times Cited: 7

Enhancing image-based diagnosis of gastrointestinal tract diseases through deep learning with EfficientNet and advanced data augmentation techniques
A. M. J. Md. Zubair Rahman, R. Mythili, K Chokkanathan, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1

Method for Detecting Pathology of Internal Organs Using Bioelectrography
Yulia Shichkina, Roza Fatkieva, Alexander V. Sychev, et al.
Diagnostics (2024) Vol. 14, Iss. 10, pp. 991-991
Open Access

Deep Learning Approaches to Gastrointestinal Image Classification: Evaluating VGG19 and EfficientNetB0 Models
S. Padmakala
2022 6th International Conference on Devices, Circuits and Systems (ICDCS) (2024), pp. 205-210
Closed Access

Gastrointestinal tract disease detection via deep learning based structural and statistical features optimized hexa-classification model
Ajitha Gladis K. P, Roja Ramani D, Mohana Suganthi N, et al.
Technology and Health Care (2024) Vol. 32, Iss. 6, pp. 4453-4473
Closed Access

Attentional deep learning based efficient AGSDCLR unet model for gastrointestinal tract segmentation
S Anjali Devi, Srilakshmi Gunta, Sai Avinash Gutta, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106847-106847
Closed Access

A Systematic Review of Ulcer Detection Methods in Wireless Capsule Endoscopy
Ahmmad Musha, Rehnuma Hasnat, Abdullah Al Mamun, et al.
Informatics in Medicine Unlocked (2024) Vol. 51, pp. 101600-101600
Open Access

Gen-CNN: a framework for the automatic generation of CNNs for image classification
Rogelio García-Aguirre, Eva M. Navarro-López, Luis Torres‐Treviño
Neural Computing and Applications (2024)
Closed Access

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

Wireless Capsule Endoscopy Bleeding Images Classification using CNN Based Model
Gotte Ranjith Kumar, J. Jeyasudha, G. Ravi, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 1

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