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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:

Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process
Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, et al.
Proceedings of the 2022 International Conference on Management of Data (2022), pp. 973-987
Closed Access | Times Cited: 17

Showing 17 citing articles:

Multi-energy load forecasting for small-sample integrated energy systems based on neural network Gaussian process and multi-task learning
Wei Zhang, Yi Cai, Hongyi Zhan, et al.
Energy Conversion and Management (2024) Vol. 321, pp. 119027-119027
Closed Access | Times Cited: 8
A robust Attention-based Cardinality Estimator with Domain Adaptation
Qixiong Zeng, Zilong Wang, Zicheng Zhang, et al.
Expert Systems with Applications (2025), pp. 127065-127065
Closed Access
Quantum Machine Learning for Join Order Optimization using Variational Quantum Circuits
Tobias Winker, Umut Çalıkyılmaz, Le Gruenwald, et al.
(2023)
Closed Access | Times Cited: 10
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
Tim Schwabe, Maribel Acosta
Proceedings of the ACM on Management of Data (2024) Vol. 2, Iss. 1, pp. 1-26
Open Access | Times Cited: 3
Missing Data Imputation with Uncertainty-Driven Network
Jianwei Wang, Ying Zhang, Kai Wang, et al.
Proceedings of the ACM on Management of Data (2024) Vol. 2, Iss. 3, pp. 1-25
Closed Access | Times Cited: 3
Machine Learning for Databases: Foundations, Paradigms, and Open problems
Gao Cong, Jingyi Yang, Yue Zhao
(2024), pp. 622-629
Closed Access | Times Cited: 2
Learned sketch for subgraph counting: a holistic approach
Kangfei Zhao, Jeffrey Xu Yu, Qiyan Li, et al.
The VLDB Journal (2023) Vol. 32, Iss. 5, pp. 937-962
Closed Access | Times Cited: 6
Learned Query Optimizer: What is New and What is Next
Rong Zhu, Lianggui Weng, Bolin Ding, et al.
(2024), pp. 561-569
Closed Access
Towards advanced distributed data processing: framework, optimization, and application
Kaiqi Liu
(2024)
Open Access
A Cause-Focused Query Optimizer Alert System
Runfan Ye, Zibo Liang, Xu Chen, et al.
(2024), pp. 2981-2990
Open Access
Spatial Query Optimization With Learning
Xin Zhang, Ahmed Eldawy
Proceedings of the VLDB Endowment (2024) Vol. 17, Iss. 12, pp. 4245-4248
Closed Access
APRNet: Cardinality Estimation Method Based on Attention Mechanism
Zhangcheng Yang, Yutong Han, Jianxin Zhang
Lecture notes in computer science (2024), pp. 226-240
Closed Access
Learning with Small Data: Subgraph Counting Queries
Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, et al.
Lecture notes in computer science (2023), pp. 308-319
Closed Access | Times Cited: 1
Proceedings of the International Workshop on Big Data in Emergent Distributed Environments

(2023)
Open Access | Times Cited: 1
Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
Tim Schwabe, Maribel Acosta
arXiv (Cornell University) (2023)
Open Access
Quantum Data Management and Quantum Machine Learning for Data Management: State-of-the-Art and Open Challenges
Sven Groppe, Jinghua Groppe, Umut Çalıkyılmaz, et al.
(2023), pp. 252-261
Closed Access
A Cardinality Estimator in Complex Database Systems Based on TreeLSTM
Kaiyang Qi, Jiong Yu, Zhenzhen He
Sensors (2023) Vol. 23, Iss. 17, pp. 7364-7364
Open Access
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