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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:

Minority-Weighted Graph Neural Network for Imbalanced Node Classification in Social Networks of Internet of People
Kefan Wang, Jing An, MengChu Zhou, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 1, pp. 330-340
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Dual Feature Interaction-Based Graph Convolutional Network
Zhongying Zhao, Yang Zhan, Chao Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 9, pp. 9019-9030
Closed Access | Times Cited: 33
PO-GNN: Position-observant inductive graph neural networks for position-based prediction
Lilapati Waikhom, Yeshwant Singh, Ripon Patgiri
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103333-103333
Closed Access | Times Cited: 15
A novel graph oversampling framework for node classification in class-imbalanced graphs
Riting Xia, Chunxu Zhang, Yan Zhang, et al.
Science China Information Sciences (2024) Vol. 67, Iss. 6
Closed Access | Times Cited: 5
Toward secure industrial internet of behaviours: a federated learning-based lightweight human behaviour recognition method with selective state space models
Bingtao Hu, Ruirui Zhong, Yixiong Feng, et al.
International Journal of Production Research (2025), pp. 1-17
Closed Access
Knowledge Distillation on Graphs: A Survey
Yijun Tian, Shichao Pei, Xiangliang Zhang, et al.
ACM Computing Surveys (2025) Vol. 57, Iss. 8, pp. 1-16
Open Access
Multi-source physical information driven deep learning in intelligent education: Unleashing the potential of deep neural networks in complex educational evaluation
Zhizhong Xing, Ying Yang, Li Tan, et al.
AIP Advances (2025) Vol. 15, Iss. 2
Open Access
Graph neural networks adversarial attacks based on node gradient and importance score
Yifei Sun, Jiale Ju, Shi Cheng, et al.
Information Sciences (2025), pp. 122168-122168
Closed Access
Dual-channel deep graph convolutional neural networks
Zhonglin Ye, Zhuoran Li, Gege Li, et al.
Frontiers in Artificial Intelligence (2024) Vol. 7
Open Access | Times Cited: 4
Enhancing graph convolutional networks with progressive granular ball sampling fusion: A novel approach to efficient and accurate GCN training
Hui Cong, Qiguo Sun, Xibei Yang, et al.
Information Sciences (2024) Vol. 676, pp. 120831-120831
Closed Access | Times Cited: 4
Causal integration in graph neural networks toward enhanced classification: benchmarking and advancements for robust performance
Simi Job, Xiaohui Tao, Taotao Cai, et al.
World Wide Web (2025) Vol. 28, Iss. 3
Open Access
ASA-GNN: Adaptive Sampling and Aggregation-Based Graph Neural Network for Transaction Fraud Detection
Yue Tian, Guanjun Liu, Jiacun Wang, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 3, pp. 3536-3549
Closed Access | Times Cited: 10
Frequent Itemset-Driven Search for Finding Minimal Node Separators and its Application to Air Transportation Network Analysis
Yangming Zhou, Xiaze Zhang, Na Geng, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 8, pp. 8348-8360
Closed Access | Times Cited: 9
Single-Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning
Dayuan Chen, Jian Zhang, Yuqian Lv, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6135-6150
Open Access | Times Cited: 3
A Survey of Graph Neural Networks and Their Industrial Applications
Haoran Lu, Lei Wang, Xiaoliang Ma, et al.
(2024)
Closed Access | Times Cited: 3
TA-Detector: A GNN-based Anomaly Detector via Trust Relationship
Jie Wen, Nan Jiang, Lang Li, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2024)
Open Access | Times Cited: 3
Drug repurposing based on the DTD-GNN graph neural network: revealing the relationships among drugs, targets and diseases
Wenjun Li, Wanjun Ma, Mengyun Yang, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
An Improved Discrete Jaya Algorithm for Shortest Path Problems in Transportation-Related Processes
Ren Wang, MengChu Zhou, Jinglin Wang, et al.
Processes (2023) Vol. 11, Iss. 8, pp. 2447-2447
Open Access | Times Cited: 5
Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications
Ye Yuan, Xin Luo, MengChu Zhou
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 2, pp. 1209-1222
Closed Access | Times Cited: 1
Deep Learning-Based Robust Adaptive Algorithm for Graph Signal Estimation With Trainable Parameters
Haiquan Zhao, Chengjin Li
IEEE Transactions on Circuits & Systems II Express Briefs (2024) Vol. 71, Iss. 7, pp. 3628-3632
Closed Access | Times Cited: 1
Cost-Sensitive Weighted Contrastive Learning Based on Graph Convolutional Networks for Imbalanced Alzheimer’s Disease Staging
Yan Hu, Jun Wang, Hao Zhu, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 9, pp. 3126-3136
Closed Access | Times Cited: 1
Fuzzy Neural Network for Representation Learning on Uncertain Graphs
Yue-Na Lin, Hai-Chun Cai, Chun-Yang Zhang, et al.
IEEE Transactions on Fuzzy Systems (2024) Vol. 32, Iss. 9, pp. 5259-5271
Closed Access | Times Cited: 1
An adaptive over-sampling method for imbalanced data based on simultaneous clustering and filtering noisy
Wei Chen, Wenjie Guo, Weijie Mao
Applied Intelligence (2024) Vol. 54, Iss. 22, pp. 11430-11449
Closed Access | Times Cited: 1
A diversity and reliability-enhanced synthetic minority oversampling technique for multi-label learning
Yanlu Gong, Quanwang Wu, MengChu Zhou, et al.
Information Sciences (2024), pp. 121579-121579
Closed Access | Times Cited: 1
A survey of graph neural networks and their industrial applications
Haoran Lu, Lei Wang, Xiaoliang Ma, et al.
Neurocomputing (2024) Vol. 614, pp. 128761-128761
Closed Access | Times Cited: 1
Estimating energy consumption of neural networks with joint Structure-Device encoding
Chaopeng Guo, Shiyu Wang, R. X. Xie, et al.
Sustainable Computing Informatics and Systems (2024), pp. 101062-101062
Closed Access | Times Cited: 1
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