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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:

Target attack on biomedical image segmentation model based on multi-scale gradients
Mingwen Shao, Gaozhi Zhang, Wangmeng Zuo, et al.
Information Sciences (2020) Vol. 554, pp. 33-46
Closed Access | Times Cited: 25

Showing 25 citing articles:

Adversarial examples: attacks and defences on medical deep learning systems
Murali Krishna Puttagunta, S. Ravi, C. Nelson Kennedy Babu
Multimedia Tools and Applications (2023) Vol. 82, Iss. 22, pp. 33773-33809
Closed Access | Times Cited: 24
Biomedical Image Segmentation Using Denoising Diffusion Probabilistic Models: A Comprehensive Review and Analysis
Zengxin Liu, Caiwen Ma, Wenji She, et al.
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 632-632
Open Access | Times Cited: 8
A Survey on Adversarial Deep Learning Robustness in Medical Image Analysis
Kyriakos D. Apostolidis, George A. Papakostas
Electronics (2021) Vol. 10, Iss. 17, pp. 2132-2132
Open Access | Times Cited: 53
DFFNet: An IoT-perceptive dual feature fusion network for general real-time semantic segmentation
Xiangyan Tang, Wenxuan Tu, Keqiu Li, et al.
Information Sciences (2021) Vol. 565, pp. 326-343
Closed Access | Times Cited: 47
A Comprehensive Review and Analysis of Deep Learning-Based Medical Image Adversarial Attack and Defense
Gladys Wavinya Muoka, Ding Yi, Chiagoziem C. Ukwuoma, et al.
Mathematics (2023) Vol. 11, Iss. 20, pp. 4272-4272
Open Access | Times Cited: 18
High-order paired-ASPP for deep semantic segmentation networks
Xin Sun, Yu Zhang, Changrui Chen, et al.
Information Sciences (2023) Vol. 646, pp. 119364-119364
Closed Access | Times Cited: 11
H-Net: A dual-decoder enhanced FCNN for automated biomedical image diagnosis
Xiaogen Zhou, Xingqing Nie, Zhiqiang Li, et al.
Information Sciences (2022) Vol. 613, pp. 575-590
Closed Access | Times Cited: 18
Digital Watermarking as an Adversarial Attack on Medical Image Analysis with Deep Learning
Kyriakos D. Apostolidis, George A. Papakostas
Journal of Imaging (2022) Vol. 8, Iss. 6, pp. 155-155
Open Access | Times Cited: 17
Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges
Junhao Dong, Junxi Chen, Xiaohua Xie, et al.
ACM Computing Surveys (2024)
Closed Access | Times Cited: 3
Deceptive Tricks in Artificial Intelligence: Adversarial Attacks in Ophthalmology
Agnieszka M. Zbrzezny, Andrzej Grzybowski
Journal of Clinical Medicine (2023) Vol. 12, Iss. 9, pp. 3266-3266
Open Access | Times Cited: 7
A deep network embedded with rough fuzzy discretization for OCT fundus image segmentation
Qiong Chen, Lirong Zeng, Cong Lin
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
Distributed dynamic online learning with differential privacy via path-length measurement
Lin Chen, Xiaofeng Ding, Pan Zhou, et al.
Information Sciences (2023) Vol. 630, pp. 135-157
Closed Access | Times Cited: 5
ARDST: An Adversarial‐Resilient Deep Symbolic Tree for Adversarial Learning
Sheng Da Zhuo, Di Wu, Xin Hu, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
Making Domain Specific Adversarial Attacks for Retinal Fundus Images
Nirmal Joseph, P. M. Ameer, Sudhish N. George, et al.
Communications in computer and information science (2024), pp. 284-295
Closed Access | Times Cited: 1
Optimization of Bayesian algorithms for multi-threshold image segmentation
Qiaoyu Tian, Wen Xu, Xu Jin
Journal of Computational Methods in Sciences and Engineering (2024) Vol. 24, Iss. 4-5, pp. 2863-2877
Closed Access | Times Cited: 1
Global contextual attention for pure regression object detection
Bingbing Fan, Mingwen Shao, Yunhao Li, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 13, Iss. 8, pp. 2189-2197
Closed Access | Times Cited: 7
Trustworthy artificial intelligence in healthcare
Abdülhamit Subaşı, Öznur Özaltın, Arka Mitra, et al.
Elsevier eBooks (2023), pp. 145-177
Closed Access | Times Cited: 3
Security and Privacy in Machine Learning for Health Systems: Strategies and Challenges
Erikson J. de Aguiar, Caetano Traina, Agma J. M. Traina
Yearbook of Medical Informatics (2023) Vol. 32, Iss. 01, pp. 269-281
Open Access | Times Cited: 3
An Adversarial sample defense method based on multi-scale GAN
Mingwen Shao, Shuqi Liu, Ran Wang, et al.
International Journal of Machine Learning and Cybernetics (2021) Vol. 12, Iss. 12, pp. 3437-3447
Closed Access | Times Cited: 5
Multi-Modality Deep Infarct: Non-invasive identification of infarcted myocardium using composite in-silico-human data learning
Rana Raza Mehdi, Nikhil Kadivar, Tanmay Mukherjee, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Automating Multi-Analytical Tasks in Machine-Vision Enabled Rail Surface Inspections: A Three-Stage Deep Learning Based Method
Tianxin Wang
Civil-comp conferences (2024) Vol. 7, pp. 1-15
Open Access
Segmentation for Athlete's Ankle Injury Image Using Residual Double Attention U-Net Model
Jing Zhang, Jian Zhou, Ming Huang, et al.
Brazilian Archives of Biology and Technology (2023) Vol. 66
Open Access | Times Cited: 1
A data generation pipeline for cardiac vessel segmentation and motion artifact grading
Asif Shahriyar Sushmit, Yongshun Xu, Olivia Mariani, et al.
(2022) Vol. RV17052, pp. 61-61
Closed Access | Times Cited: 2
Generating adversarial samples by manipulating image features with auto-encoder
Jianxin Yang, Mingwen Shao, Huan Liu, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 7, pp. 2499-2509
Closed Access
Research on Biomedical Image Segmentation Method Based on Full Convolutional Neural Network
Zhaoguan Zhang, Muxin Sun
(2023), pp. 1541-1545
Closed Access
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