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:

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

Showing 1-25 of 26 citing articles:

Optimize brain tumor multiclass classification with manta ray foraging and improved residual block techniques
Saif Ur Rehman Khan, Sohaib Asif, Ming Zhao, et al.
Multimedia Systems (2025) Vol. 31, Iss. 1
Closed Access

An ensemble approach of deep CNN models with Beta normalization aggregation for gastrointestinal disease detection
Zafran Waheed, Jinsong Gui, Kamran Amjad, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107567-107567
Closed Access

Automated Diagnosis for Colon Cancer Diseases Using Stacking Transformer Models and Explainable Artificial Intelligence
Lubna Abdelkareim Gabralla, Ali Mohamed Hussien, Abdulaziz AlMohimeed, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2939-2939
Open Access | Times Cited: 15

Multi-feature fusion and dandelion optimizer based model for automatically diagnosing the gastrointestinal diseases
Soner Kızıloluk, Muhammed Yıldırım, Harun Bingöl, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1919-e1919
Open Access | Times Cited: 4

A Fuzzy Minkowski Distance-based fusion of convolutional neural networks for gastrointestinal disease detection
Sohaib Asif, Qurrat Ul Ain
Applied Soft Computing (2024) Vol. 158, pp. 111595-111595
Closed Access | Times Cited: 3

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

Public Imaging Datasets of Gastrointestinal Endoscopy for Artificial Intelligence: a Review
Shiqi Zhu, Jingwen Gao, Lu Liu, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 6, pp. 2578-2601
Closed 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

Evaluating the Potential of Wavelet Pooling on Improving the Data Efficiency of Light-Weight CNNs
Shimaa El-Bana, Ahmad Al-Kabbany, Hassan M. Elragal, et al.
IEEE Access (2023) Vol. 11, pp. 51199-51213
Open Access | Times Cited: 6

PKDN: Prior Knowledge Distillation Network for bronchoscopy diagnosis
Pengfei Yan, Weiling Sun, Xiang Li, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107486-107486
Closed Access | Times Cited: 6

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

Automated Detection of Gastrointestinal Diseases Using Resnet50*-Based Explainable Deep Feature Engineering Model with Endoscopy Images
Veysel Yusuf Cambay, Prabal Datta Barua, Abdul Hafeez‐Baig, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7710-7710
Open Access | Times Cited: 1

UMobileNetV2 model for semantic segmentation of gastrointestinal tract in MRI scans
Neha Sharma, Sheifali Gupta, Deepali Gupta, et al.
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0302880-e0302880
Open Access | Times Cited: 1

A Comprehensive Review for Classification and Segmentation of Gastro Intestine Tract
Neha Sharma, Avinash Sharma, Sheifali Gupta
2022 6th International Conference on Electronics, Communication and Aerospace Technology (2022), pp. 1493-1499
Closed Access | Times Cited: 7

NFF: A Novel Nested Feature Fusion Method for Efficient and Early Detection of Colorectal Carcinoma
Amitesh Kumar Dwivedi, Gaurav Srivastava, Nitesh Pradhan
Lecture notes in networks and systems (2023), pp. 297-309
Closed Access | Times Cited: 3

High-Speed and Accurate Diagnosis of Gastrointestinal Disease: Learning on Endoscopy Images Using Lightweight Transformer with Local Feature Attention
Shibin Wu, Ruxin Zhang, Jiayi Yan, et al.
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1416-1416
Open Access | Times Cited: 3

Machine-based mosquito taxonomy with a lightweight network-fused efficient dual ConvNet with residual learning and Knowledge Distillation
Francis Jesmar P. Montalbo
Applied Soft Computing (2022) Vol. 133, pp. 109913-109913
Closed Access | Times Cited: 5

Curated Colon Disease Diagnosis Using Principal Component Analysis and Deep Learning with Integrated Gradients
Quy Thanh Lu, Thuan Van Tran, Minh Triet Nguyen
Communications in computer and information science (2024), pp. 168-181
Closed Access

A Novel Lightweight Deep Learning Based Approaches for the Automatic Diagnosis of Gastrointestinal Disease using Image Processing and Knowledge Distillation Techniques
Zafran Waheed, Jinsong Gui, Md Belal Bin Heyat, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 260, pp. 108579-108579
Closed Access

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