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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:

Semi-Supervised Classification of Graph Convolutional Networks with Laplacian Rank Constraints
Haiqi Zhang, Guangquan Lu, Mengmeng Zhan, et al.
Neural Processing Letters (2021) Vol. 54, Iss. 4, pp. 2645-2656
Closed Access | Times Cited: 87

Showing 1-25 of 87 citing articles:

Remaining Useful Life Prediction Method Based on the Spatiotemporal Graph and GCN Nested Parallel Route Model
Liuyang Song, Ye Jin, Tianjiao Lin, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 25
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis
Thi Kieu Khanh Ho, Narges Armanfard
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 7, pp. 7866-7874
Open Access | Times Cited: 29
Bayesian Graph Local Extrema Convolution with Long-tail Strategy for Misinformation Detection
Guixian Zhang, Shichao Zhang, Guan Yuan
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 4, pp. 1-21
Open Access | Times Cited: 11
Scope of machine learning applications for addressing the challenges in next‐generation wireless networks
Raj Kumar Samanta, Bikash Sadhukhan, Hiranmay Samaddar, et al.
CAAI Transactions on Intelligence Technology (2022) Vol. 7, Iss. 3, pp. 395-418
Open Access | Times Cited: 29
A graph-based interpretability method for deep neural networks
Tao Wang, Xiangwei Zheng, Lifeng Zhang, et al.
Neurocomputing (2023) Vol. 555, pp. 126651-126651
Closed Access | Times Cited: 21
SeGDroid: An Android malware detection method based on sensitive function call graph learning
Zhen Liu, Ruoyu Wang, Nathalie Japkowicz, et al.
Expert Systems with Applications (2023) Vol. 235, pp. 121125-121125
Closed Access | Times Cited: 17
Graph Convolutional Networks for Improved Prediction and Interpretability of Chromatographic Retention Data
Alexander Kensert, Robbin Bouwmeester, Kyriakos Efthymiadis, et al.
Analytical Chemistry (2021) Vol. 93, Iss. 47, pp. 15633-15641
Open Access | Times Cited: 38
Deep Learning Models for PV Power Forecasting: Review
Junfeng Yu, Xiaodong Li, Lei Yang, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 3973-3973
Open Access | Times Cited: 5
Heterogeneous Spatio-Temporal Graph Contrastive Learning for Point-of-Interest Recommendation
Jiawei Liu, Haihan Gao, Cheng Yang, et al.
Tsinghua Science & Technology (2024) Vol. 30, Iss. 1, pp. 186-197
Open Access | Times Cited: 5
Estimation of Off-Target Dicamba Damage on Soybean Using UAV Imagery and Deep Learning
Fengkai Tian, Caio Canella Vieira, Jing Zhou, et al.
Sensors (2023) Vol. 23, Iss. 6, pp. 3241-3241
Open Access | Times Cited: 11
Multiscale information enhanced spatial-temporal graph convolutional network for multivariate traffic flow forecasting via magnifying perceptual scope
Xinyu Zheng, Haidong Shao, Shen Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109010-109010
Closed Access | Times Cited: 4
Personalized learning path based on graph attention mechanism deep reinforcement learning research on recommender systems
Runlong Gu
Journal of Computational Methods in Sciences and Engineering (2025)
Closed Access
D-MGDCN-CLSTM: A Traffic Prediction Model Based on Multi-Graph Gated Convolution and Convolutional Long–Short-Term Memory
Linliang Zhang, Shuyun Xu, Shuo Li, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 561-561
Open Access
Spatial–temporal feature fusion for intelligent foreknowledge of robotic machining errors
Teng Zhang, Fangyu Peng, Jianzhuang Wang, et al.
Robotics and Computer-Integrated Manufacturing (2025) Vol. 94, pp. 102972-102972
Closed Access
A multiscale molecular structural neural network for molecular property prediction
Zhiwei Shi, Miao Ma, Hanyang Ning, et al.
Molecular Diversity (2025)
Closed Access
Hybrid spatial–temporal graph neural network for traffic forecasting
Peng Wang, Feng Liu, Yijie Zhu, et al.
Information Fusion (2025), pp. 102978-102978
Closed Access
Simultaneously local and global contrastive learning of graph representations
Shuai An, Binsheng Hong, Zhaori Guo, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110203-110203
Closed Access
Fault diagnosis of mechanical seals using graph neural networks with multi-sensor data fusion
Xiaoran Zhu, Jiahao Wang, Binhui Wang, et al.
Advances in Mechanical Engineering (2025) Vol. 17, Iss. 2
Open Access
GraphDHV: Graph Neural Network with Dual Hybrid View on Imbalanced Node Classification
Longqing Du, Guangquan Lu, Yadan Han, et al.
Lecture notes in computer science (2025), pp. 502-513
Closed Access
High-order graph convolutional networks for circular Ribonucleic Acid and disease association prediction incorporating multiple biological relationships
Hao Liu, Chen Chen, Xiaoyi Lv, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110303-110303
Closed Access
Optimized graph neural networks for spatial recognition to support automatic building information model semantic enrichment - Exploring node features enhancing strategies
Yi‐An Chen, Jiang Huixian
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110365-110365
Closed Access
Research on the Condition Assessment Method of Mechanical Seal Based on Fusing Multi‐Graph Neural Networks From Decision Layer
Xiaoran Zhu, Binhui Wang, Junchao Chen, et al.
Shock and Vibration (2025) Vol. 2025, Iss. 1
Open Access
MDSTA: masked diffusion spatio-temporal autoencoder for multimodal remote sensing image classification
Zhihui Yue, Jindong Xu, Ziyi Li, et al.
International Journal of Remote Sensing (2025), pp. 1-26
Closed Access
Graph neural network approach with spatial structure to anomaly detection of network data
Han Zhang, Yun Zhou, Huahu Xu, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Predicting Water Pipe Failures with Graph Neural Networks: Integrating Coupled Road and Pipeline Features
Qunfang Hu, Yu Zhang, Wen Liu, et al.
Water (2025) Vol. 17, Iss. 9, pp. 1307-1307
Open Access
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