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:

Graph convolutional network with sample and feature weights for Alzheimer’s disease diagnosis
Lu Zeng, Hengxin Li, Tingsong Xiao, et al.
Information Processing & Management (2022) Vol. 59, Iss. 4, pp. 102952-102952
Closed Access | Times Cited: 22

Showing 22 citing articles:

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
Mohammed Alsubaie, Suhuai Luo, Kamran Shaukat
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 464-505
Open Access | Times Cited: 25

Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Ahmed Elazab, Changmiao Wang, M. Abdel-Aziz, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124780-124780
Closed Access | Times Cited: 11

Phishing scams detection via temporal graph attention network in Ethereum
Lei Wang, Ming Xu, Hao Cheng
Information Processing & Management (2023) Vol. 60, Iss. 4, pp. 103412-103412
Closed Access | Times Cited: 14

Morphological Abnormalities Classification of Red Blood Cells Using Fusion Method on Imbalance Datasets
Prasenjit Dhar, K. Suganya Devi, Ramanuj Bhattacharjee, et al.
Microscopy Research and Technique (2025)
Closed Access

Dual-Graph Learning Convolutional Networks for Interpretable Alzheimer’s Disease Diagnosis
Tingsong Xiao, Lu Zeng, Xiaoshuang Shi, et al.
Lecture notes in computer science (2022), pp. 406-415
Closed Access | Times Cited: 16

Improved credit risk prediction based on an integrated graph representation learning approach with graph transformation
Yong Shi, Yi Qu, Zhensong Chen, et al.
European Journal of Operational Research (2023) Vol. 315, Iss. 2, pp. 786-801
Closed Access | Times Cited: 9

M-GCN: Multi-scale Graph Convolutional Network for 3D Point Cloud Classification
Jing Hu, Xincheng Wang, Ziheng Liao, et al.
2022 IEEE International Conference on Multimedia and Expo (ICME) (2023), pp. 924-929
Closed Access | Times Cited: 8

Learning Deep Photometric Stereo Network with Reflectance Priors
Yakun Ju, Cong Zhang, Songsong Huang, et al.
2022 IEEE International Conference on Multimedia and Expo (ICME) (2023), pp. 2027-2032
Closed Access | Times Cited: 6

GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data
Junliang Shang, Qi Zou, Qianqian Ren, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 6, pp. 2968-2979
Closed Access | Times Cited: 4

Capturing the form of feature interactions in black-box models
Hanying Zhang, Xiaohang Zhang, Tianbo Zhang, et al.
Information Processing & Management (2023) Vol. 60, Iss. 4, pp. 103373-103373
Closed Access | Times Cited: 2

Identifying ADHD-Related Abnormal Functional Connectivity with a Graph Convolutional Neural Network
Y Hu, Junling Ran, Rui Qiao, et al.
Neural Plasticity (2024) Vol. 2024, pp. 1-14
Open Access

Alzheimer’s disease classification based on brain region-to-sample graph convolutional network
Zhi Yang, Wenya Liu, Haitao Gan, et al.
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106589-106589
Closed Access

Unveiling diagnostic information for type 2 diabetes through interpretable machine learning
Xiang Lv, Jiesi Luo, Yonglin Zhang, et al.
Information Sciences (2024), pp. 121582-121582
Open Access

Multimodal Hyperbolic Graph Learning for Alzheimer's Disease Detection
C. Xie, Wenhao Zhou, Ciyuan Peng, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Multimodal Hyperbolic Graph Learning for Alzheimer’s Disease Detection
C. Xie, Wenhao Zhou, Ciyuan Peng, et al.
Lecture notes in computer science (2024), pp. 390-403
Closed Access

Shape-based disease grading via functional maps and graph convolutional networks with application to Alzheimer’s disease
Julius Mayer, Daniel Baum, Felix Ambellan, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access

Dual hypergraphs with feature weighted and latent space learning for the diagnosis of Alzheimer’s disease
Yu Luo, Hongmei Chen, Tengyu Yin, et al.
Information Fusion (2024) Vol. 112, pp. 102546-102546
Closed Access

Semi-supervised Pseudo Label Learning-based Wheat Head Detection
Huikai Chen, Xuan Xiong, Weihua Ju
(2023)
Open Access | Times Cited: 1

Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection
Boning Tong, Zhuoping Zhou, Davoud Ataee Tarzanagh, et al.
Lecture notes in computer science (2023), pp. 144-154
Closed Access

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