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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:

Kernel-based Substructure Exploration for Next POI Recommendation
Wei Ju, Yifang Qin, Ziyue Qiao, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2022), pp. 221-230
Open Access | Times Cited: 19

Showing 19 citing articles:

A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
Neural Networks (2024) Vol. 173, pp. 106207-106207
Open Access | Times Cited: 133
Learning Graph ODE for Continuous-Time Sequential Recommendation
Yifang Qin, Wei Ju, Hongjun Wu, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 3224-3236
Open Access | Times Cited: 24
Unsupervised graph-level representation learning with hierarchical contrasts
Wei Ju, Yiyang Gu, Xiao Luo, et al.
Neural Networks (2022) Vol. 158, pp. 359-368
Closed Access | Times Cited: 47
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting
Yusheng Zhao, Xiao Luo, Wei Ju, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2023), pp. 2303-2316
Open Access | Times Cited: 27
A Diffusion Model for POI Recommendation
Yifang Qin, Hongjun Wu, Wei Ju, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 2, pp. 1-27
Open Access | Times Cited: 25
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering
Siyu Yi, Wei Ju, Yifang Qin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 12, pp. 18313-18327
Open Access | Times Cited: 19
Graph-based substructure pattern mining with edge-weight
Md. Ashraful Islam, Chowdhury Farhan Ahmed, Md. Tanvir Alam, et al.
Applied Intelligence (2024) Vol. 54, Iss. 5, pp. 3756-3785
Closed Access | Times Cited: 5
A survey on graph neural network-based next POI recommendation for smart cities
Jian Yu, Lucas Guo, Jiayu Zhang, et al.
Journal of Reliable Intelligent Environments (2024) Vol. 10, Iss. 3, pp. 299-318
Open Access | Times Cited: 5
A survey on point-of-interest recommendations leveraging heterogeneous data
Zehui Wang, Wolfram Höpken, Dietmar Jannach
Information Technology & Tourism (2025)
Open Access
Spatio–temporal graph hierarchical learning framework for metro passenger flow prediction across stations and lines
Hongtao Li, Wen-jie Fu, Haina Zhang, et al.
Knowledge-Based Systems (2025), pp. 113132-113132
Closed Access
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels
Jingyang Yuan, Xiao Luo, Yifang Qin, et al.
(2023), pp. 3647-3656
Open Access | Times Cited: 9
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification
Zhengyang Mao, Wei Ju, Yifang Qin, et al.
(2023), pp. 3817-3826
Open Access | Times Cited: 9
Diff-DGMN: A Diffusion-Based Dual Graph Multiattention Network for POI Recommendation
Jiankai Zuo, Yaying Zhang
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 23, pp. 38393-38409
Closed Access | Times Cited: 2
Exploring the evolution, progress, and future of point-of-interest recommendation over location-based social network: a comprehensive review
Malika Acharya, Krishna Kumar Mohbey
GeoInformatica (2024)
Closed Access | Times Cited: 1
Multi-granular approach to learn user mobility preferences for next Point-of-Interest ecommendation
Li Cai, S.W. Wu, Hai Li, et al.
Expert Systems with Applications (2024), pp. 126189-126189
Closed Access | Times Cited: 1
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju, Zheng Fang, Yiyang Gu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 3
Learning Graph ODE for Continuous-Time Sequential Recommendation
Yifang Qin, Lili Ju, Hongjun Wu, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Learning Knowledge-diverse Experts for Long-tailed Graph Classification
Zhengyang Mao, Wei Ju, Siyu Yi, et al.
ACM Transactions on Knowledge Discovery from Data (2024)
Open Access
Multi-task Learning of Heterogeneous Hypergraph Representations in LBSNs
Dong Duc Anh Nguyen, Minh Hieu Nguyen, Phi Le Nguyen, et al.
Lecture notes in computer science (2024), pp. 161-177
Closed Access
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