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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:

Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries
Shohedul Hasan, Saravanan Thirumuruganathan, Jees Augustine, et al.
(2020), pp. 1035-1050
Open Access | Times Cited: 80

Showing 1-25 of 80 citing articles:

Federated Learning on Non-IID Data Silos: An Experimental Study
Qinbin Li, Yiqun Diao, Quan Chen, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2022), pp. 965-978
Open Access | Times Cited: 583
Robust Query Driven Cardinality Estimation under Changing Workloads
Parimarjan Negi, Zi‐Niu Wu, Andreas Kipf, et al.
Proceedings of the VLDB Endowment (2023) Vol. 16, Iss. 6, pp. 1520-1533
Closed Access | Times Cited: 32
Learned cardinality estimation
Ji Sun, Jintao Zhang, Zhaoyan Sun, et al.
Proceedings of the VLDB Endowment (2021) Vol. 15, Iss. 1, pp. 85-97
Closed Access | Times Cited: 51
FACE
Jiayi Wang, Chengliang Chai, Jiabin Liu, et al.
Proceedings of the VLDB Endowment (2021) Vol. 15, Iss. 1, pp. 72-84
Closed Access | Times Cited: 50
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation
Peizhi Wu, Gao Cong
Proceedings of the 2022 International Conference on Management of Data (2021), pp. 2009-2022
Open Access | Times Cited: 47
Cardinality estimation in DBMS
Yuxing Han, Zi‐Niu Wu, Peizhi Wu, et al.
Proceedings of the VLDB Endowment (2021) Vol. 15, Iss. 4, pp. 752-765
Closed Access | Times Cited: 45
Fauce
Jie Liu, Wenqian Dong, Qingqing Zhou, et al.
Proceedings of the VLDB Endowment (2021) Vol. 14, Iss. 11, pp. 1950-1963
Closed Access | Times Cited: 41
FactorJoin: A New Cardinality Estimation Framework for Join Queries
Ziniu Wu, Parimarjan Negi, Mohammad Alizadeh, et al.
Proceedings of the ACM on Management of Data (2023) Vol. 1, Iss. 1, pp. 1-27
Open Access | Times Cited: 21
Flow-loss
Parimarjan Negi, Ryan Marcus, Andreas Kipf, et al.
Proceedings of the VLDB Endowment (2021) Vol. 14, Iss. 11, pp. 2019-2032
Closed Access | Times Cited: 32
Neural Subgraph Counting with Wasserstein Estimator
Hanchen Wang, Rong Hu, Ying Zhang, et al.
Proceedings of the 2022 International Conference on Management of Data (2022), pp. 160-175
Open Access | Times Cited: 24
Learned Cardinality Estimation: An In-depth Study
Kyoungmin Kim, Jisung Jung, In Seo, et al.
Proceedings of the 2022 International Conference on Management of Data (2022), pp. 1214-1227
Closed Access | Times Cited: 24
PolyCard: A learned cardinality estimator for intersection queries on spatial polygons
Yuchen Ji, Daichi Amagata, Yuya Sasaki, et al.
Journal of Intelligent Information Systems (2025)
Open Access
An Elephant Under the Microscope: Analyzing the Interaction of Optimizer Components in PostgreSQL
Rico Bergmann, Claudio Hartmann, Dirk Habich, et al.
Proceedings of the ACM on Management of Data (2025) Vol. 3, Iss. 1, pp. 1-28
Closed Access
Federated Learning on Non-IID Data Silos: An Experimental Study
Qinbin Li, Yiqun Diao, Quan Chen, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 31
Learned Cardinality Estimation for Similarity Queries
Ji Sun, Guoliang Li, Nan Tang
Proceedings of the 2022 International Conference on Management of Data (2021), pp. 1745-1757
Closed Access | Times Cited: 28
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data
Meghdad Kurmanji, Peter Triantafillou
Proceedings of the ACM on Management of Data (2023) Vol. 1, Iss. 1, pp. 1-27
Open Access | Times Cited: 12
A Learned Sketch for Subgraph Counting
Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, et al.
Proceedings of the 2022 International Conference on Management of Data (2021), pp. 2142-2155
Closed Access | Times Cited: 26
Machine learning for databases
Guoliang Li, Xuanhe Zhou, Lei Cao
Proceedings of the VLDB Endowment (2021) Vol. 14, Iss. 12, pp. 3190-3193
Open Access | Times Cited: 24
Machine Learning for Databases
Guoliang Li, Xuanhe Zhou, Lei Cao
(2021), pp. 1-2
Open Access | Times Cited: 23
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
Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation
Fang Wang, Xiao Yan, Man Lung Yiu, et al.
Proceedings of the ACM on Management of Data (2023) Vol. 1, Iss. 1, pp. 1-25
Closed Access | Times Cited: 10
Astrid
Suraj Shetiya, Saravanan Thirumuruganathan, Nick Koudas, et al.
Proceedings of the VLDB Endowment (2020) Vol. 14, Iss. 4, pp. 471-484
Closed Access | Times Cited: 20
Are we ready for learned cardinality estimation?
Xiaoying Wang, Changbo Qu, Weiyuan Wu, et al.
Proceedings of the VLDB Endowment (2021) Vol. 14, Iss. 9, pp. 1640-1654
Open Access | Times Cited: 17
Conditional Generative Model Based Predicate-Aware Query Approximation
Nikhil Sheoran, Subrata Mitra, Vibhor Porwal, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 8, pp. 8259-8266
Open Access | Times Cited: 11
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
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