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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:

NCRNet: Neighborhood Context Refinement Network for skin lesion segmentation
Qi Liu, Jingkun Wang, Mengying Zuo, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105545-105545
Closed Access | Times Cited: 21

Showing 21 citing articles:

A survey, review, and future trends of skin lesion segmentation and classification
Md. Kamrul Hasan, Md. Asif Ahamad, Choon Hwai Yap, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106624-106624
Open Access | Times Cited: 86
A survey on deep learning for skin lesion segmentation
Zahra Mirikharaji, Kumar Abhishek, Alceu Bissoto, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102863-102863
Open Access | Times Cited: 79
Comparison of the impacts of dermoscopy image augmentation methods on skin cancer classification and a new augmentation method with wavelet packets
Evgin Göçeri
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 5, pp. 1727-1744
Closed Access | Times Cited: 54
Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things
Arslan Akram, Javed Rashid, M. Arfan Jaffar, et al.
Skin Research and Technology (2023) Vol. 29, Iss. 11
Open Access | Times Cited: 29
UCR-Net: U-shaped context residual network for medical image segmentation
Qi Sun, Mengyun Dai, Ziyang Lan, et al.
Computers in Biology and Medicine (2022) Vol. 151, pp. 106203-106203
Closed Access | Times Cited: 25
A Collaborative Learning Model for Skin Lesion Segmentation and Classification
Ying Wang, Jie Su, Qiuyu Xu, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 912-912
Open Access | Times Cited: 14
ULFAC-Net: Ultra-Lightweight Fully Asymmetric Convolutional Network for Skin Lesion Segmentation
Yuliang Ma, WU Li-ping, Yunyuan Gao, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 6, pp. 2886-2897
Closed Access | Times Cited: 13
CTH-Net: A CNN and Transformer hybrid network for skin lesion segmentation
Yuhan Ding, Zhenglin Yi, Jiatong Xiao, et al.
iScience (2024) Vol. 27, Iss. 4, pp. 109442-109442
Open Access | Times Cited: 4
Segmentation of skin lesion using superpixel guided generative adversarial network with dual-stream patch-based discriminators
Jiahao Zhang, Miao Che, Zongfei Wu, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106304-106304
Closed Access | Times Cited: 4
PIndNet: A pixel-wise industrial defect inspection network using multiple pyramid feature aggregation
Yi Zhou, Hao Wu, Yunfeng Wang, et al.
Measurement (2025) Vol. 245, pp. 116639-116639
Closed Access
Semi-automatic standardized analysis method to objectively evaluate near-infrared fluorescent dyes in image-guided surgery
Tom H. Dijkhuis, Okker D. Bijlstra, Mats I. Warmerdam, et al.
Journal of Biomedical Optics (2024) Vol. 29, Iss. 02
Open Access | Times Cited: 3
DBCGN: dual branch cascade graph network for skin lesion segmentation
Pengfei Song, Jinjiang Li, Hui Fan, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 8, pp. 2847-2865
Closed Access | Times Cited: 6
SIL-Net: A Semi-Isotropic L-shaped network for dermoscopic image segmentation
Zequn Zhang, Yun Jiang, Hao Qiao, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106146-106146
Closed Access | Times Cited: 6
MDSC‐Net: A multi‐scale depthwise separable convolutional neural network for skin lesion segmentation
Yun Jiang, Hao Qiao, Zequn Zhang, et al.
IET Image Processing (2023) Vol. 17, Iss. 13, pp. 3713-3727
Open Access | Times Cited: 3
DEU-Net: Dual-Encoder U-Net for Automated Skin Lesion Segmentation
Ali Karimi, Karim Faez, Soheila Nazari
IEEE Access (2023) Vol. 11, pp. 134804-134821
Open Access | Times Cited: 3
Transformer guided self-adaptive network for multi-scale skin lesion image segmentation
Chao Xin, Zhifang Liu, Yizhao Ma, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107846-107846
Open Access | Times Cited: 3
SBDF-Net: A versatile dual-branch fusion network for medical image segmentation
Junwen Wang, Shengwei Tian, Long Yu, et al.
Biomedical Signal Processing and Control (2022) Vol. 78, pp. 103928-103928
Closed Access | Times Cited: 5
Improved Dense Recurrent Residual U-Net for Skin Lesion Segmentation
Yuan Yang, Dechun Zhao, Zixin Luo
Journal of Electronics and Information Science (2024) Vol. 9, Iss. 1
Open Access
Deep Learning-Based Automatic Skin Lesion Segmentation
Hera Shaheen, Maheshwari Prasad Singh
Lecture notes in electrical engineering (2024), pp. 61-70
Closed Access
DB-DCAFN: dual-branch deformable cross-attention fusion network for bacterial segmentation
Jingkun Wang, Xinyu Ma, Long Cao, et al.
Visual Computing for Industry Biomedicine and Art (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 1
GFRNet: Rethinking the global contexts extraction in medical images segmentation through matrix factorization and self‐attention
Lifang Chen, S. T. Wang, Li Wan, et al.
IET Computer Vision (2023) Vol. 18, Iss. 2, pp. 260-272
Open Access
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