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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:

Segmentation Technology of Nucleus Image Based on U-Net Network
Jie Fang, Qingbiao Zhou, Shuxia Wang
Scientific Programming (2021) Vol. 2021, pp. 1-10
Open Access | Times Cited: 12

Showing 12 citing articles:

Mayfly optimization with deep learning enabled retinal fundus image classification model
Indresh Kumar Gupta, Abha Choubey, Siddhartha Choubey
Computers & Electrical Engineering (2022) Vol. 102, pp. 108176-108176
Closed Access | Times Cited: 25
Combining graph neural networks and computer vision methods for cell nuclei classification in lung tissue
Jose Pérez-Cano, Irene Sansano Valero, David Anglada-Rotger, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28463-e28463
Open Access | Times Cited: 4
Singular Nuclei Segmentation for Automatic HER2 Quantification Using CISH Whole Slide Images
Md Shakhawat Hossain, M. M. Mahbubul Syeed, Kaniz Fatema, et al.
Sensors (2022) Vol. 22, Iss. 19, pp. 7361-7361
Open Access | Times Cited: 10
Bone Region Segmentation in Medical Images Based on Improved Watershed Algorithm
Zhou Jun, Mei Yang
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 8
Tooth CT Image Segmentation Method Based on the U-Net Network and Attention Module
Sha Tao, Zhenfeng Wang
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 7
A Cascaded Deep Learning Framework for Segmentation of Nuclei in Digital Histology Images
Khadijeh Saednia, William T. Tran, Ali Sadeghi‐Naini
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 4764-4767
Closed Access | Times Cited: 6
Extraction of eutrophic and green ponds from segmentation of high-resolution imagery based on the EAF-Unet algorithm
Yating Hu, Danyang Zheng, Shuqiong Shi, et al.
Environmental Pollution (2023) Vol. 343, pp. 123207-123207
Closed Access | Times Cited: 3
Semantic Segmentation of Aerial Images Using U-Net Architecture
Sarah Hussein, Khawla H. Ali
Iraqi Journal for Electrical And Electronic Engineering (2022) Vol. 18, Iss. 1, pp. 58-63
Open Access | Times Cited: 5
Identification and retrieval of medicinal plants of Southern India using EfficientB4Net
K. Uma, B. Sathya Bama, D. Sabarinathan, et al.
Journal of Intelligent & Fuzzy Systems (2022) Vol. 42, Iss. 6, pp. 5097-5112
Closed Access | Times Cited: 4
White blood cell segmentation using U-Net and its variants to improve leukemia diagnosis
Vivek C. Joshi, Mayuri A. Mehta, Ketan Kotecha
Neural Computing and Applications (2024) Vol. 37, Iss. 5, pp. 3265-3286
Closed Access
Accurate Semantic Segmentation of Aerial Imagery Using Attention Res U-Net Architecture
Nagamani Gonthina, Saikumar Adunuri, Rishindra Mateti, et al.
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2024), pp. 1-5
Closed Access
An Efficient Deep Neural Framework for Nucleus Semantic Segmentation with Enhanced U-Net
Rahul Sawhney, Shilpi Sharma, Purvit Vashishtha, et al.
Revue d intelligence artificielle (2022) Vol. 36, Iss. 3, pp. 475-481
Open Access
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