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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:

Everything is connected: Graph neural networks
Petar Veličković
Current Opinion in Structural Biology (2023) Vol. 79, pp. 102538-102538
Open Access | Times Cited: 140

Showing 26-50 of 140 citing articles:

Graph neural networks: Insight and applications
N. Gayathri, S. Rakesh Kumar, C. Ramesh, et al.
Elsevier eBooks (2025), pp. 135-144
Closed Access
Web Server-based Deep Learning-Driven Predictive Models for Respiratory Toxicity of Environmental Chemicals: Mechanistic Insights and Interpretability
Na Li, Zhaoyang Chen, Wenhui Zhang, et al.
Journal of Hazardous Materials (2025) Vol. 489, pp. 137575-137575
Closed Access
Finite and fixed time synchronization of multi-link complex-valued complex networks with time delay via hybrid control
Wei Jie, Zhihuan Chen
Communications in Nonlinear Science and Numerical Simulation (2025), pp. 108678-108678
Closed Access
Decoupled graph neural architecture search with explainable variable propagation operation
Changlong He, Jiamin Chen, Qiutong Li, et al.
Knowledge and Information Systems (2025)
Closed Access
PROPERMAB: an integrative framework for in silico prediction of antibody developability using machine learning
Li Bian, Senlin Luo, Wenhua Wang, et al.
mAbs (2025) Vol. 17, Iss. 1
Open Access
Uncertainty-Aware Molecular Property Prediction Using Heterogeneous Molecular Graph Neural Networks
Midhilesh Momidi, Prakash Chauhan, Adityaram Komaraneni, et al.
(2025), pp. 243-254
Closed Access
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data
Michalis Pistos, Gang Li, Weili Lin, et al.
Medical Image Analysis (2025), pp. 103541-103541
Open Access
A comprehensive review of direct, indirect, and AI-based detection methods for milk powder
Y. X. Song, Shen Song, Guanjun Dong, et al.
Frontiers in Sustainable Food Systems (2025) Vol. 9
Open Access
Dstsa-gcn: Advancing skeleton-based gesture recognition with semantic-aware spatio-temporal topology modeling
Hu Cui, Renjing Huang, Ruoyu Zhang, et al.
Neurocomputing (2025), pp. 130066-130066
Closed Access
Traffic Flow Prediction Based on Spatio-Temporal Aggregated Graph Neural Networks
Sen Wu, Yao Hu
Transportation Research Record Journal of the Transportation Research Board (2025)
Closed Access
Graph AI for Fraud Detection: Improving Risk Management and Compliance in Digital Finance
Diego Vallarino
Research Square (Research Square) (2025)
Closed Access
Harnessing machine learning for high-entropy alloy catalysis: a focus on adsorption energy prediction
Qi Wang, Yonggang Yao
npj Computational Materials (2025) Vol. 11, Iss. 1
Open Access
GCN-BBB: Deep Learning Blood-Brain Barrier (BBB) Permeability PharmacoAnalytics with Graph Convolutional Neural (GCN) Network
Yankang Jing, Guangyi Zhao, Yuanyuan Xu, et al.
The AAPS Journal (2025) Vol. 27, Iss. 3
Closed Access
Token-Level Graphs for Short Text Classification
Gregor Donabauer, Udo Kruschwitz
Lecture notes in computer science (2025), pp. 427-436
Closed Access
Task-Independent Cognitive Workload Discrimination Based on EEG with Stacked Graph Attention Convolutional Networks
Wei Chen, Xuewen Zhao, Yu Song, et al.
Sensors (2025) Vol. 25, Iss. 8, pp. 2390-2390
Open Access
Mesoscale brain-wide fluctuation analysis: revealing ketamine’s rapid antidepressant across multiple brain regions
Qingying Cao, Xiaojun Xu, Xinyu Wang, et al.
Translational Psychiatry (2025) Vol. 15, Iss. 1
Open Access
Causal GNNs and the Anthropology of Data: An Ethical Approach to Fairness and Transparency in Financial AI
Diego Vallarino
(2025)
Closed Access
Applications of graph theory in studying protein structure, dynamics, and interactions
Ziyun Zhou, Guang Hu
Journal of Mathematical Chemistry (2023) Vol. 62, Iss. 10, pp. 2562-2580
Closed Access | Times Cited: 10
Self-supervised Multimodal Graph Convolutional Network for collaborative filtering
Sungjune Kim, Seongjun Yun, Jongwuk Lee, et al.
Information Sciences (2023) Vol. 653, pp. 119760-119760
Closed Access | Times Cited: 9
AI approaches for the discovery and validation of drug targets
Aaron Wenteler, Claudia Cabrera, Wei Wei, et al.
Cambridge Prisms Precision Medicine (2024) Vol. 2
Open Access | Times Cited: 3
FSRM-DDIE : few-shot learning methods based on relation metrics for the prediction of drug-drug interaction events
Lianwei Zhang, Dongjiang Niu, Beiyi Zhang, et al.
Applied Intelligence (2024)
Closed Access | Times Cited: 3
UrbanAgriKG: A knowledge graph on urban agriculture and its embeddings
Bikram Pratim Bhuyan, Ravi Tomar, Thipendra P. Singh, et al.
Open Agriculture (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 2
Structure Matters: Analyzing Videos Via Graph Neural Networks for Social Media Platform Attribution
Andrea Gemelli, Dasara Shullani, Daniele Baracchi, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 4735-4739
Closed Access | Times Cited: 2
GCNT: Identify influential seed set effectively in social networks by integrating graph convolutional networks with graph transformers
Jianxin Tang, Jitao Qu, Shihui Song, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 8, pp. 102183-102183
Open Access | Times Cited: 2
Prediction of bitterness based on modular designed graph neural network
Yi He, Kaifeng Liu, Yuyang Liu, et al.
Bioinformatics Advances (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2

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