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:

Next-item Recommendation with Sequential Hypergraphs
Jianling Wang, Kaize Ding, Liangjie Hong, et al.
(2020)
Closed Access | Times Cited: 225

Showing 1-25 of 225 citing articles:

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation
Xin Xia, Hongzhi Yin, Junliang Yu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 5, pp. 4503-4511
Open Access | Times Cited: 424

A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu, Xiangnan He, Xiang Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 270

Hypergraph Contrastive Collaborative Filtering
Lianghao Xia, Chao Huang, Yong Xu, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 70-79
Open Access | Times Cited: 249

Be More with Less: Hypergraph Attention Networks for Inductive Text Classification
Kaize Ding, Jianling Wang, Jundong Li, et al.
(2020)
Open Access | Times Cited: 155

Dynamic Graph Neural Networks for Sequential Recommendation
Mengqi Zhang, Shu Wu, Xueli Yu, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 131

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: 130

Data Augmentation for Deep Graph Learning
Kaize Ding, Zhe Xu, Hanghang Tong, et al.
ACM SIGKDD Explorations Newsletter (2022) Vol. 24, Iss. 2, pp. 61-77
Closed Access | Times Cited: 125

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation
Yuhao Yang, Chao Huang, Lianghao Xia, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 2263-2274
Open Access | Times Cited: 86

Music Recommendation via Hypergraph Embedding
Valerio La Gatta, Vincenzo Moscato, Mirko Pennone, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 34, Iss. 10, pp. 7887-7899
Closed Access | Times Cited: 78

Self-Supervised Hypergraph Transformer for Recommender Systems
Lianghao Xia, Chao Huang, Chuxu Zhang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 2100-2109
Open Access | Times Cited: 74

Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding, Jianling Wang, Jundong Li, et al.
(2020)
Open Access | Times Cited: 106

Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation
Junwei Zhang, Min Gao, Junliang Yu, et al.
(2021), pp. 2557-2567
Open Access | Times Cited: 97

Popularity-Opportunity Bias in Collaborative Filtering
Ziwei Zhu, Yun He, Xing Zhao, et al.
(2021)
Closed Access | Times Cited: 94

Hierarchical Hyperedge Embedding-Based Representation Learning for Group Recommendation
Lei Guo, Hongzhi Yin, Tong Chen, et al.
ACM transactions on office information systems (2021) Vol. 40, Iss. 1, pp. 1-27
Open Access | Times Cited: 74

Session-based Recommendation with Hypergraph Attention Networks
Jianling Wang, Kaize Ding, Ziwei Zhu, et al.
Society for Industrial and Applied Mathematics eBooks (2021), pp. 82-90
Open Access | Times Cited: 73

Context and Attribute-Aware Sequential Recommendation via Cross-Attention
Ahmed Nabih Zaki Rashed, Shereen H. Elsayed, Lars Schmidt-Thieme
(2022), pp. 71-80
Open Access | Times Cited: 44

Multi-Behavior Sequential Recommendation with Temporal Graph Transformer
Lianghao Xia, Chao Huang, Yong Xu, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 43

Hypergraph Convolution on Nodes-Hyperedges Network for Semi-Supervised Node Classification
Hanrui Wu, Michael K. Ng
ACM Transactions on Knowledge Discovery from Data (2022) Vol. 16, Iss. 4, pp. 1-19
Closed Access | Times Cited: 42

DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation
Xiaolin Zheng, Jiajie Su, Weiming Liu, et al.
Proceedings of the 30th ACM International Conference on Multimedia (2022), pp. 471-481
Open Access | Times Cited: 41

Price DOES Matter!
Xiaokun Zhang, Bo Xu, Liang Yang, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 1684-1693
Open Access | Times Cited: 40

Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations
Liwei Huang, Yutao Ma, Yanbo Liu, et al.
ACM transactions on office information systems (2022) Vol. 41, Iss. 1, pp. 1-32
Open Access | Times Cited: 38

Spatio-Temporal Hypergraph Learning for Next POI Recommendation
Xiaodong Yan, Tengwei Song, Yipeng Jiao, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023)
Open Access | Times Cited: 31

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation
Juyong Jiang, Peiyan Zhang, Yingtao Luo, et al.
(2023), pp. 976-986
Open Access | Times Cited: 26

Graph Masked Autoencoder for Sequential Recommendation
Yaowen Ye, Lianghao Xia, Chao Huang
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023)
Open Access | Times Cited: 23

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