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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:

Semi-supervised medical image segmentation via hard positives oriented contrastive learning
Cheng Tang, Xinyi Zeng, Luping Zhou, et al.
Pattern Recognition (2023) Vol. 146, pp. 110020-110020
Closed Access | Times Cited: 23

Showing 23 citing articles:

HAIC-NET: Semi-supervised OCTA vessel segmentation with self-supervised pretext task and dual consistency training
Hailan Shen, Zheng Tang, Yajing Li, et al.
Pattern Recognition (2024) Vol. 151, pp. 110429-110429
Closed Access | Times Cited: 10
Weakly-supervised thyroid ultrasound segmentation: Leveraging multi-scale consistency, contextual features, and bounding box supervision for accurate target delineation
Mohammed Aly
Computers in Biology and Medicine (2025) Vol. 186, pp. 109669-109669
Closed Access
Learning better contrastive view from radiologist’s gaze
Sheng Wang, Zihao Zhao, Zixu Zhuang, et al.
Pattern Recognition (2025), pp. 111350-111350
Open Access
Multi‐scale dual attention embedded U‐shaped network for accurate segmentation of coronary vessels in digital subtraction angiography
He Deng, Yuqing Li, Xu Liu, et al.
Medical Physics (2025) Vol. 52, Iss. 5, pp. 3135-3150
Closed Access
Semi-supervised medical image segmentation using spiking neural P-like convolutional model and pseudo label-guided cross-patch contrastive learning
Chi Zhou, Lulin Ye, Hong Peng, et al.
Neurocomputing (2025), pp. 129782-129782
Closed Access
Classification of Ameloblastoma, Periapical Cyst, and Chronic Suppurative Osteomyelitis with Semi-Supervised Learning: The WaveletFusion-ViT Model Approach
Bohui Liang, Hongna Qin, Xiaolin Nong, et al.
Bioengineering (2024) Vol. 11, Iss. 6, pp. 571-571
Open Access | Times Cited: 3
Beyond supervision: Harnessing self-supervised learning in unseen plant disease recognition
Abel Yu Hao Chai, Sue Han Lee, Fei Siang Tay, et al.
Neurocomputing (2024), pp. 128608-128608
Open Access | Times Cited: 3
Dual-scale enhanced and cross-generative consistency learning for semi-supervised medical image segmentation
Yunqi Gu, Tao Zhou, Yizhe Zhang, et al.
Pattern Recognition (2024) Vol. 158, pp. 110962-110962
Closed Access | Times Cited: 2
Asymmetric patch sampling for contrastive learning
Chengchao Shen, Jianzhong Chen, Shu Wang, et al.
Pattern Recognition (2024), pp. 111012-111012
Open Access | Times Cited: 2
Data augmentation strategies for semi-supervised medical image segmentation
Jiahui Wang, Dongsheng Ruan, Yang Li, et al.
Pattern Recognition (2024) Vol. 159, pp. 111116-111116
Closed Access | Times Cited: 2
Discriminative atoms embedding relation dual network for classification of choroidal neovascularization in OCT images
Ruifeng Wang, Guang Zhang, Xiaoming Xi, et al.
Pattern Recognition (2024) Vol. 156, pp. 110757-110757
Closed Access | Times Cited: 1
Source-free domain adaptation via dynamic pseudo labeling and Self-supervision
Qiankun Ma, Jie Zeng, Jianjia Zhang, et al.
Pattern Recognition (2024) Vol. 156, pp. 110793-110793
Closed Access | Times Cited: 1
Investigating Contrastive Pair Learning’s Frontiers in Supervised, Semisupervised, and Self-Supervised Learning
Bihi Sabiri, Amal Khtira, Bouchra El Asri, et al.
Journal of Imaging (2024) Vol. 10, Iss. 8, pp. 196-196
Open Access | Times Cited: 1
Approximating Intermediate Feature Maps of Self-Supervised Convolution Neural Network to Learn Hard Positive Representations in Chest Radiography
Kyungjin Cho, Kiduk Kim, Jiheon Jeong, et al.
Deleted Journal (2024)
Open Access
DCL-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation
Wen Lu, Zhenghao Feng, Yun Hou, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 1876-1880
Open Access
Supercm: Improving Semi-Supervised Learning and Domain Adaptation Through Differentiable Clustering
Durgesh Kumar Singh, Ahcène Boubekki, Robert Jenssen, et al.
(2024)
Closed Access
Dual-Scale Enhanced and Cross-Generative Consistency Learning for Semi-Supervised Medical Image Segmentation
Yunqi Gu, Tao Zhou, Yizhe Zhang, et al.
(2024)
Closed Access
Shape-Background Joint-Aware Multiple Instance Learning for Small Tumor Segmentation
Haofeng Liu, Shuiping Gou, Yanyan Zhou, et al.
(2024)
Closed Access
Common Vision-Language Attention for Text-Guided Medical Image Segmentation of Pneumonia
Yunpeng Guo, Xinyi Zeng, Pinxian Zeng, et al.
Lecture notes in computer science (2024), pp. 192-201
Closed Access
ABP: Asymmetric Bilateral Prompting for Text-Guided Medical Image Segmentation
Xinyi Zeng, Pinxian Zeng, Jiaqi Cui, et al.
Lecture notes in computer science (2024), pp. 54-64
Closed Access
Textmatch: Using Text Prompts to Improve Semi-supervised Medical Image Segmentation
Aibing Li, Xinyi Zeng, Pinxian Zeng, et al.
Lecture notes in computer science (2024), pp. 699-709
Closed Access
Few-shot intent detection with mutual information and contrastive learning
Shun Yang, Yajun Du, Jianhua Huang, et al.
Applied Soft Computing (2024), pp. 112338-112338
Closed Access
CCL-MPC: Semi-supervised medical image segmentation via collaborative intra-inter contrastive learning and multi-perspective consistency
Xiaogang Du, Yuexian Zou, Lei Tao, et al.
Neurocomputing (2024) Vol. 621, pp. 129287-129287
Closed Access
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