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:
Hypergraph motifs and their extensions beyond binary
Geon Lee, Seokbum Yoon, Jihoon Ko, et al.
The VLDB Journal (2023) Vol. 33, Iss. 3, pp. 625-665
Closed Access | Times Cited: 4
Geon Lee, Seokbum Yoon, Jihoon Ko, et al.
The VLDB Journal (2023) Vol. 33, Iss. 3, pp. 625-665
Closed Access | Times Cited: 4
Showing 4 citing articles:
A Survey on Hypergraph Mining: Patterns, Tools, and Generators
Geon Lee, Fanchen Bu, Tina Eliassi‐Rad, et al.
ACM Computing Surveys (2025)
Open Access
Geon Lee, Fanchen Bu, Tina Eliassi‐Rad, et al.
ACM Computing Surveys (2025)
Open Access
HMNE: link prediction using hypergraph motifs and network embedding in social networks
Yichen Zhang, Shouliang Lai, Zongju Peng, et al.
Knowledge and Information Systems (2024) Vol. 67, Iss. 2, pp. 1787-1809
Closed Access | Times Cited: 1
Yichen Zhang, Shouliang Lai, Zongju Peng, et al.
Knowledge and Information Systems (2024) Vol. 67, Iss. 2, pp. 1787-1809
Closed Access | Times Cited: 1
MoTTo: Scalable Motif Counting with Time-aware Topology Constraint for Large-scale Temporal Graphs
Jiantao Li, Jianpeng Qi, Yi-Shuo Huang, et al.
(2024), pp. 1195-1204
Closed Access
Jiantao Li, Jianpeng Qi, Yi-Shuo Huang, et al.
(2024), pp. 1195-1204
Closed Access
Retrieving Top-k Hyperedge Triplets: Models and Applications
Jason Niu, Ilya Amburg, Sinan G. Aksoy, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 630-639
Open Access
Jason Niu, Ilya Amburg, Sinan G. Aksoy, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 630-639
Open Access
