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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:

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Hao Peng, Ruitong Zhang, Yingtong Dou, et al.
ACM transactions on office information systems (2021) Vol. 40, Iss. 4, pp. 1-46
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

A Survey on Text Classification: From Traditional to Deep Learning
Qian Li, Hao Peng, Jianxin Li, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 13, Iss. 2, pp. 1-41
Closed Access | Times Cited: 240
Generative Adversarial Networks for face generation: A survey
Amina Kammoun, Rim Slama, Hedi Tabia, et al.
ACM Computing Surveys (2022)
Open Access | Times Cited: 202
Reinforced, Incremental and Cross-Lingual Event Detection From Social Messages
Hao Peng, Ruitong Zhang, Shaoning Li, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2022) Vol. 45, Iss. 1, pp. 980-998
Closed Access | Times Cited: 96
Graph Structure Learning with Variational Information Bottleneck
Qingyun Sun, Jianxin Li, Hao Peng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 4, pp. 4165-4174
Open Access | Times Cited: 86
FedBERT: When Federated Learning Meets Pre-training
Yuanyishu Tian, Yao Wan, Lingjuan Lyu, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 13, Iss. 4, pp. 1-26
Closed Access | Times Cited: 59
Internet Financial Fraud Detection Based on Graph Learning
Ranran Li, Zhaowei Liu, Yuanqing Ma, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 3, pp. 1394-1401
Closed Access | Times Cited: 43
Deep reinforcement learning guided graph neural networks for brain network analysis
Xusheng Zhao, Jia Wu, Hao Peng, et al.
Neural Networks (2022) Vol. 154, pp. 56-67
Open Access | Times Cited: 40
Reinforcement Learning on Graphs: A Survey
Mingshuo Nie, Dongming Chen, Dongqi Wang
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 4, pp. 1065-1082
Open Access | Times Cited: 38
Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation
Mingshi Yan, Zhiyong Cheng, Chen Gao, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 1, pp. 1-26
Open Access | Times Cited: 28
RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis
Xusheng Zhao, Hao Peng, Qiong Dai, et al.
(2024), pp. 976-984
Open Access | Times Cited: 11
Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications
Chaochao Chen, Fei Zheng, Jamie Cui, et al.
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 8, pp. 3513-3532
Closed Access | Times Cited: 9
A descriptive human visual cognitive strategy using graph neural network for facial expression recognition
Shuai Liu, Shichen Huang, Weina Fu, et al.
International Journal of Machine Learning and Cybernetics (2022) Vol. 15, Iss. 1, pp. 19-35
Open Access | Times Cited: 32
RoSGAS : Adaptive Social Bot Detection with Reinforced Self-supervised GNN Architecture Search
Yingguang Yang, Renyu Yang, Yangyang Li, et al.
ACM Transactions on the Web (2022) Vol. 17, Iss. 3, pp. 1-31
Open Access | Times Cited: 30
Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation
Xusheng Zhao, Qiong Dai, Jia Wu, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 4, pp. 4077-4091
Closed Access | Times Cited: 29
SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization
Dongcheng Zou, Hao Peng, Xiang Huang, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 499-510
Open Access | Times Cited: 20
Label Information Enhanced Fraud Detection against Low Homophily in Graphs
Yuchen Wang, Jinghui Zhang, Zhengjie Huang, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 406-416
Open Access | Times Cited: 19
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks
Jibing Gong, Yao Wan, Ye Liu, et al.
ACM Transactions on the Web (2023) Vol. 17, Iss. 3, pp. 1-27
Open Access | Times Cited: 17
A novel interactive deep cascade spectral graph convolutional network with multi-relational graphs for disease prediction
Sihui Li, Rui Zhang
Neural Networks (2024) Vol. 175, pp. 106285-106285
Closed Access | Times Cited: 5
An analysis of graph neural networks for fake review detection: A systematic literature review
Ramadhani Ally Duma, Zhendong Niu, Ally S. Nyamawe, et al.
Neurocomputing (2025), pp. 129341-129341
Closed Access
Transforming e-commerce with Graph Neural Networks: Enhancing personalization, security, and business growth
Anand Agrawal
Elsevier eBooks (2025), pp. 215-224
Closed Access
Neighborhood-Adaptive Structure Augmented Metric Learning
Pandeng Li, Yan Li, Hongtao Xie, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 2, pp. 1367-1375
Open Access | Times Cited: 22
MNC-Net: Multi-task graph structure learning based on node clustering for early Parkinson’s disease diagnosis
Liqin Huang, Xiaofang Ye, Mingjing Yang, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106308-106308
Closed Access | Times Cited: 22
SCN_GNN: A GNN-based fraud detection algorithm combining strong node and graph topology information
Jing Chen, Quanzhen Chen, Feng Jiang, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121643-121643
Closed Access | Times Cited: 14
Adaptive Subgraph Neural Network with Reinforced Critical Structure Mining
Jianxin Li, Qingyun Sun, Hao Peng, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023), pp. 1-18
Closed Access | Times Cited: 13
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks
Chuang Liu, Xueqi Ma, Yibing Zhan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 14903-14917
Open Access | Times Cited: 13
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