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:

HMGCL: Heterogeneous multigraph contrastive learning for LBSN friend recommendation
Yongkang Li, Zipei Fan, Du Yin, et al.
World Wide Web (2022) Vol. 26, Iss. 4, pp. 1625-1648
Closed Access | Times Cited: 17

Showing 17 citing articles:

Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
Xingchen Zou, Yibo Yan, Xixuan Hao, et al.
Information Fusion (2024) Vol. 113, pp. 102606-102606
Open Access | Times Cited: 12

Keywords-enhanced Contrastive Learning Model for travel recommendation
Lei Chen, Guixiang Zhu, Weichao Liang, et al.
Information Processing & Management (2024) Vol. 61, Iss. 6, pp. 103874-103874
Closed Access | Times Cited: 5

KGNext: Knowledge-Graph-Enhanced Transformer for Next POI Recommendation With Uncertain Check-Ins
Xiangjie Kong, Zhiyu Chen, Jianxin Li, et al.
IEEE Transactions on Computational Social Systems (2024) Vol. 11, Iss. 5, pp. 6637-6648
Closed Access | Times Cited: 4

Hyper-relational knowledge graph neural network for next POI recommendation
Jixiao Zhang, Yongkang Li, Ruotong Zou, et al.
World Wide Web (2024) Vol. 27, Iss. 4
Closed Access | Times Cited: 4

Friend Link Prediction Method Based on Heterogeneous Multigraph and Hierarchical Attention
A. Liu, B. Li, Yong Wang, et al.
Applied Artificial Intelligence (2025) Vol. 39, Iss. 1
Open Access

Scalable and explainable visually-aware recommender systems
Thanet Markchom, Huizhi Liang, James Ferryman
Knowledge-Based Systems (2023) Vol. 263, pp. 110258-110258
Open Access | Times Cited: 9

Improving multi-modal transportation recommendation systems through contrastive De-biased heterogenous graph neural networks
Haoyang Yan, Yuan Liao, Zhenliang Ma, et al.
Transportation Research Part C Emerging Technologies (2024) Vol. 164, pp. 104689-104689
Closed Access | Times Cited: 3

KDRank: Knowledge-driven user-aware POI recommendation
Zhi Liu, Deju Zhang, Chenwei Zhang, et al.
Knowledge-Based Systems (2023) Vol. 278, pp. 110884-110884
Closed Access | Times Cited: 8

DCARS: Deep context-aware recommendation system based on session latent context
Javad Sohafi-Bonab, Mehdi Hosseinzadeh Aghdam, Kambiz Majidzadeh
Applied Soft Computing (2023) Vol. 143, pp. 110416-110416
Closed Access | Times Cited: 7

Adaptive Hypergraph Network for Trust Prediction
Rongwei Xu, Guanfeng Liu, Yan Wang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 2986-2999
Open Access | Times Cited: 1

A cross-domain user association scheme based on graph attention networks with trajectory embedding
Keqing Cen, Zhenghao Yang, Ze Wang, et al.
Machine Learning (2024) Vol. 113, Iss. 10, pp. 7905-7930
Closed Access

UeLP: accurate user linkage across social platforms against location errors
R Liu, Ruixiang Li, Wenqi Shi, et al.
The Computer Journal (2024)
Closed Access

A model to address the cold-start in peer recommendation by using k-means clustering and sentence embedding
Deepika Shukla, C. Ravindranath Chowdary
Journal of Computational Science (2024) Vol. 83, pp. 102465-102465
Closed Access

Heterogeneous Hyperbolic Hypergraph Neural Network for Friend Recommendation in Location-based Social Networks
Yongkang Li, Zipei Fan, Xuan Song
ACM Transactions on Knowledge Discovery from Data (2024)
Closed Access

Sequence-Graph Fusion Neural Network for User Mobile App Behavior Prediction
Yizhuo Wang, Renhe Jiang, Hangchen Liu, et al.
Lecture notes in computer science (2023), pp. 105-121
Closed Access | Times Cited: 1

MDBF: Meta-Path-Based Depth and Breadth Feature Fusion for Recommendation in Heterogeneous Network
Hong-Juan Liu, H. Zhang
Electronics (2023) Vol. 12, Iss. 19, pp. 4017-4017
Open Access

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