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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:

Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images
Adnan Haider, Muhammad Arsalan, Se Hyun Nam, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106749-106749
Open Access | Times Cited: 14

Showing 14 citing articles:

Hybrid Parallel Fuzzy CNN Paradigm: Unmasking Intricacies for Accurate Brain MRI Insights
Saeed Iqbal, Adnan N. Qureshi, Khursheed Aurangzeb, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 10, pp. 5533-5544
Closed Access | Times Cited: 7
MpMsCFMA-Net: Multi-path Multi-scale Context Feature Mixup and Aggregation Network for medical image segmentation
Miao Che, Zongfei Wu, Jiahao Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108292-108292
Closed Access | Times Cited: 6
LightCF-Net: A Lightweight Long-Range Context Fusion Network for Real-Time Polyp Segmentation
Zhanlin Ji, Xiaoyu Li, Jianuo Liu, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 545-545
Open Access | Times Cited: 6
Artificially Intelligent detection of retinal pigment sign using P3S-Net for retinitis pigmentosa analysis
Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, et al.
Results in Engineering (2025) Vol. 25, pp. 104263-104263
Open Access
Synthetic data-augmented explainable Vision Transformer for colorectal cancer diagnosis via surface tactile imaging
Siddhartha Kapuria, Naruhiko Ikoma, Sandeep Chinchali, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 151, pp. 110633-110633
Closed Access
Multiscale triplet spatial information fusion-based deep learning method to detect retinal pigment signs with fundus images
Muhammad Arsalan, Adnan Haider, Chanhum Park, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108353-108353
Open Access | Times Cited: 1
Unmasking colorectal cancer: A high-performance semantic network for polyp and surgical instrument segmentation
Abbas Jafar, Zain Ul Abidin, Rizwan Ali Naqvi, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109292-109292
Closed Access | Times Cited: 1
MNet-SAt: A Multiscale Network with Spatial-enhanced Attention for segmentation of polyps in colonoscopy
Chandravardhan Singh Raghaw, Anoop Yadav, Jasmer Singh Sanjotra, et al.
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107363-107363
Closed Access | Times Cited: 1
Bridge the Gap of Semantic Context: A Boundary-Guided Context Fusion UNet for Medical Image Segmentation
Yu Chen, Jiahua Wu, Da‐Han Wang, et al.
Lecture notes in computer science (2024), pp. 165-179
Closed Access | Times Cited: 1
Optimizing Enhanced Extended Topological Active Nets Model Using Parallel Processing
Ranjita Asati, M. M. Raghuwanshi, Kavita Singh
International journal of electrical and computer engineering systems (2024) Vol. 15, Iss. 4, pp. 335-343
Open Access
A Modified Deep Semantic Segmentation Model for Analysis of Whole Slide Skin Images
Muhammad Zeeshan Asaf, Hamid Rasul, Muhammad Usman Akram, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
MFHARFNet: Multi-branch feature hybrid and adaptive receptive field network for image segmentation
Meng Li, Juntong Yun, Jiang Du, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 015704-015704
Closed Access
Advanced Segmentation of Gastrointestinal (GI) Cancer Disease Using a Novel U-MaskNet Model
Aditya Shankar Pal, Hari Mohan, Mohamed Ben Haj Frej, et al.
Life (2024) Vol. 14, Iss. 11, pp. 1488-1488
Open Access
Redefining Contextual and Boundary Synergy: A Boundary-Guided Fusion Network for Medical Image Segmentation
Yu Chen, Yun Wu, Jiahua Wu, et al.
Electronics (2024) Vol. 13, Iss. 24, pp. 4986-4986
Open Access
A joint Multi-decoder Dual-attention U-Net framework for tumor segmentation in Whole Slide Images
Heba Abdel-Nabi, Mostafa Z. Ali, Arafat Awajan
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 10, pp. 101835-101835
Open Access | Times Cited: 1
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