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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:

Dynamic prototypical feature representation learning framework for semi-supervised skin lesion segmentation
Zhenxi Zhang, Chunna Tian, Xinbo Gao, et al.
Neurocomputing (2022) Vol. 507, pp. 369-382
Closed Access | Times Cited: 11

Showing 11 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: 87
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: 83
Self-aware and Cross-Sample Prototypical Learning for Semi-supervised Medical Image Segmentation
Zhenxi Zhang, Ran Ran, Chunna Tian, et al.
Lecture notes in computer science (2023), pp. 192-201
Closed Access | Times Cited: 12
Leveraging labelled data knowledge: A cooperative rectification learning network for semi-supervised 3D medical image segmentation
Yanyan Wang, Kechen Song, Yuyuan Liu, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103461-103461
Open Access
FDuDoCLNet: Fully dual-domain contrastive learning network for parallel MRI reconstruction
Huiyao Zhang, Tiejun Yang, Heng Wang, et al.
Magnetic Resonance Imaging (2025), pp. 110336-110336
Closed Access
Multi-scale spatial consistency for deep semi-supervised skin lesion segmentation
Adama Nouboukpo, Mohamed Lamine Allaoui, Mohand Saïd Allili
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108681-108681
Closed Access | Times Cited: 3
Multi-level uncertainty aware learning for semi-supervised dental panoramic caries segmentation
Xianyun Wang, Sizhe Gao, Kaisheng Jiang, et al.
Neurocomputing (2023) Vol. 540, pp. 126208-126208
Closed Access | Times Cited: 8
An Implicit-Explicit Prototypical Alignment Framework for Semi-Supervised Medical Image Segmentation
Chunna Tian, Zhenxi Zhang, Xinbo Gao, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 2, pp. 929-940
Closed Access | Times Cited: 5
Semi-Supervised Adversarial Transfer Learning for Automated Skin Lesion Segmentation
Ashish Bishnoi, A Kannagi, Kalyan Acharjya
(2024), pp. 1-6
Closed Access | Times Cited: 1
Semi-Supervised Medical Image Segmentation on Data from Different Distributions
K. B. Sowmya, G. Varaprasad
Lecture notes in networks and systems (2023), pp. 103-112
Closed Access
Multi-Scale Prototype Constraints with Relation Aggregation for Semi-supervised Medical Image Segmentation
Jiashun Dong, Hongyan Quan, Jun Han
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2022), pp. 1517-1520
Closed Access
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