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:

A Survey on Knowledge Graph-Based Recommender Systems
Qingyu Guo, Fuzhen Zhuang, Chuan Qin, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 8, pp. 3549-3568
Open Access | Times Cited: 588

Showing 1-25 of 588 citing articles:

Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu, Fei Sun, Wentao Zhang, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 5, pp. 1-37
Open Access | Times Cited: 643

A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu, Xiangnan He, Xiang Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 270

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources
Xiao Wang, Deyu Bo, Chuan Shi, et al.
IEEE Transactions on Big Data (2022) Vol. 9, Iss. 2, pp. 415-436
Open Access | Times Cited: 232

Graph Learning based Recommender Systems: A Review
Shoujin Wang, Liang Hu, Yan Wang, et al.
(2021), pp. 4644-4652
Open Access | Times Cited: 129

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting
Haohai Sun, Jialun Zhong, Yunpu Ma, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 107

A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering
Mehrdad Rostami, Mourad Oussalah, Vahid Farrahi
IEEE Access (2022) Vol. 10, pp. 52508-52524
Open Access | Times Cited: 95

A survey of graph neural network based recommendation in social networks
Xiao Li, Li Sun, Mengjie Ling, et al.
Neurocomputing (2023) Vol. 549, pp. 126441-126441
Closed Access | Times Cited: 73

Knowledge Graph Quality Management: a Comprehensive Survey
Bingcong Xue, Lei Zou
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 71

A Comprehensive Survey on Automatic Knowledge Graph Construction
Lingfeng Zhong, Jia Wu, Qian Li, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-62
Open Access | Times Cited: 66

Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure
Ke Liang, Yue Liu, Sihang Zhou, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 1, pp. 226-238
Open Access | Times Cited: 55

Enhanced Multi-Task Learning and Knowledge Graph-Based Recommender System
Min Gao, Jian-Yu Li, Chunhua Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 10281-10294
Closed Access | Times Cited: 49

Causal Inference in Recommender Systems: A Survey and Future Directions
Chen Gao, Yu Zheng, Wenjie Wang, et al.
ACM transactions on office information systems (2024) Vol. 42, Iss. 4, pp. 1-32
Open Access | Times Cited: 28

Content-driven music recommendation: Evolution, state of the art, and challenges
Yashar Deldjoo, Markus Schedl, Peter Knees
Computer Science Review (2024) Vol. 51, pp. 100618-100618
Open Access | Times Cited: 22

Knowledge-aware fine-grained attention networks with refined knowledge graph embedding for personalized recommendation
Wei Wang, Xiaoxuan Shen, Baolin Yi, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123710-123710
Closed Access | Times Cited: 16

Recent Developments in Recommender Systems: A Survey [Review Article]
Yang Li, Kangbo Liu, Ranjan Satapathy, et al.
IEEE Computational Intelligence Magazine (2024) Vol. 19, Iss. 2, pp. 78-95
Closed Access | Times Cited: 16

Blockchain-based recommender systems: Applications, challenges and future opportunities
Yassine Himeur, Aya Nabil Sayed, Abdullah Alsalemi, et al.
Computer Science Review (2021) Vol. 43, pp. 100439-100439
Open Access | Times Cited: 101

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Weihua Hu, Matthias Fey, Hongyu Ren, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 95

Fast and Accurate Non-Negative Latent Factor Analysis of High-Dimensional and Sparse Matrices in Recommender Systems
Xin Luo, Yue Zhou, Zhigang Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2021) Vol. 35, Iss. 4, pp. 3897-3911
Closed Access | Times Cited: 84

A Survey on Knowledge Graph-Based Recommender Systems
Liu Jiangzhou, Li Duan
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) (2021)
Closed Access | Times Cited: 80

KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation
Haotian Li, Yong Wang, Songheng Zhang, et al.
IEEE Transactions on Visualization and Computer Graphics (2021) Vol. 28, Iss. 1, pp. 195-205
Open Access | Times Cited: 69

Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion
Shen Wang, Xiaokai Wei, Cicero Nogueira Nogueira dos Santos, et al.
(2021)
Closed Access | Times Cited: 59

A hierarchical fused fuzzy deep neural network with heterogeneous network embedding for recommendation
Phu Pham, Loan T. T. Nguyen, Ngoc Thanh Nguyen, et al.
Information Sciences (2022) Vol. 620, pp. 105-124
Closed Access | Times Cited: 44

Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification
Hanrui Wu, Michael K. Ng
ACM Transactions on Knowledge Discovery from Data (2022) Vol. 16, Iss. 4, pp. 1-19
Closed Access | Times Cited: 42

Time-aware Path Reasoning on Knowledge Graph for Recommendation
Yuyue Zhao, Xiang Wang, Jiawei Chen, et al.
ACM transactions on office information systems (2022) Vol. 41, Iss. 2, pp. 1-26
Open Access | Times Cited: 39

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