Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Improving Augmentation Consistency for Graph Contrastive Learning
Weixin Bu, Xiaofeng Cao, Yizhen Zheng, et al.
Pattern Recognition (2023) Vol. 148, pp. 110182-110182
Closed Access | Times Cited: 13

Showing 13 citing articles:

MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios
Maoyou Ye, Xiaoan Yan, Xing Hua, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125214-125214
Closed Access | Times Cited: 11
Multiside graph neural network-based attention for local co-occurrence features fusion in lung nodule classification
Ahmed Saihood, Mustafa Asaad Hasan, Shafaa mahmood shnawa, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124149-124149
Open Access | Times Cited: 7
Cf-Wiad: Consistency Fusion with Weighted Instance and Adaptive Distribution for Enhanced Semi-Supervised Skin Lesion Classification
Dandan Wang, Kang An, Yaling Mo, et al.
(2025)
Closed Access
AAGCN: An adaptive data augmentation for graph contrastive learning
Peng Qin, Yun Lu, Weifu Chen, et al.
Pattern Recognition (2025), pp. 111471-111471
Closed Access
Two-dimensional Adversarial Domain Adaptation Graph Contrastive Learning for Fault Diagnosis of Limited Similar Batch Process
Xingke Gao, Jinlin Zhu, Furong Gao, et al.
Process Safety and Environmental Protection (2025), pp. 107017-107017
Closed Access
Dynamic heterogeneous graph representation based on adaptive negative sample mining via high-fidelity instances and context-aware uncertainty learning
Wenhao Bai, Liqing Qiu, Weidong Zhao
Expert Systems with Applications (2025) Vol. 278, pp. 127291-127291
Closed Access
Solving two-stage stochastic integer programs via representation learning
Yaoxin Wu, Zhiguang Cao, Wen Song, et al.
Neural Networks (2025), pp. 107446-107446
Closed Access
Sample selection for noisy partial label learning with interactive contrastive learning
Xiaotong Yu, Shiding Sun, Siyu Zhu
Pattern Recognition (2025) Vol. 166, pp. 111681-111681
Closed Access
Segment Anything Meets Universal Adversarial Perturbation
Dongshen Han, Sheng Zheng, Chaoning Zhang
(2024)
Closed Access | Times Cited: 1
Self-supervised learning from images: No negative pairs, no cluster-balancing
Jian-Ping Mei, Shixiang Wang, Ming Yu
Pattern Recognition (2024) Vol. 159, pp. 111081-111081
Closed Access | Times Cited: 1
Topology reorganized graph contrastive learning with mitigating semantic drift
Jiaqiang Zhang, Songcan Chen
Pattern Recognition (2024) Vol. 159, pp. 111160-111160
Closed Access | Times Cited: 1
No Fear of Representation Bias Graph Contrastive Learning with Calibration and Fusion
Jindong Li, Yixin Liu, Qianli Xing, et al.
(2024)
Closed Access
Self-Supervised Learning from Images: No Negative Pairs, No Cluster-Balancing
Jian-Ping Mei, Shixiang Wang
(2024)
Closed Access
Page 1

Scroll to top