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:

Cascading Residual Graph Convolutional Network for Multi-Behavior Recommendation
Mingshi Yan, Zhiyong Cheng, Chen Gao, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 1, pp. 1-26
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Multi-Behavior Recommendation with Cascading Graph Convolution Networks
Zhiyong Cheng, Sai Han, Fan Liu, et al.
Proceedings of the ACM Web Conference 2022 (2023)
Open Access | Times Cited: 38

Accurate multi-behavior sequence-aware recommendation via graph convolution networks
Doyeon Kim, Saurav Tanwar, U Kang
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0314282-e0314282
Open Access

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation
Chang Meng, Ziqi Zhao, Wei Guo, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 1, pp. 1-27
Open Access | Times Cited: 13

Decoupled domain-specific and domain-conditional representation learning for cross-domain recommendation
Yu Zhang, Zhiyong Cheng, Fan Liu, et al.
Information Processing & Management (2024) Vol. 61, Iss. 3, pp. 103689-103689
Closed Access | Times Cited: 4

Simplices-based higher-order enhancement graph neural network for multi-behavior recommendation
Qingbo Hao, Chundong Wang, Yingyuan Xiao, et al.
Information Processing & Management (2024) Vol. 61, Iss. 5, pp. 103790-103790
Closed Access | Times Cited: 4

Modeling multi-behavior sequence via HyperGRU contrastive network for micro-video recommendation
Pan Gu, Haiyang Hu, Guandong Xu
Knowledge-Based Systems (2024) Vol. 295, pp. 111841-111841
Closed Access | Times Cited: 2

HyperSegRec: enhanced hypergraph-based recommendation system with user segmentation and item similarity learning
Nidhi Malik, Neeti Sangwan, Navdeep Bohra, et al.
Cluster Computing (2024) Vol. 27, Iss. 8, pp. 11727-11745
Closed Access | Times Cited: 2

Behavior-Contextualized Item Preference Modeling for Multi-Behavior Recommendation
Mingshi Yan, Fan Liu, Jing Sun, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 946-955
Open Access | Times Cited: 2

Explicit Behavior Interaction with Heterogeneous Graph for Multi-behavior Recommendation
Zhongping Zhang, Yin Jia, Yuehan Hou, et al.
Data Science and Engineering (2024) Vol. 9, Iss. 2, pp. 133-151
Open Access | Times Cited: 1

Multi-behavior-based graph contrastive learning recommendation
Chenzhong Bin, Weiliang Li, Fangjian Wu, et al.
Knowledge and Information Systems (2024) Vol. 66, Iss. 6, pp. 3477-3496
Closed Access | Times Cited: 1

MBDL: Exploring dynamic dependency among various types of behaviors for recommendation
H. Y. Zhang, Mingxin Gan
Information Systems (2024) Vol. 124, pp. 102407-102407
Closed Access | Times Cited: 1

Reconstruction of dynamic protein–protein interaction network via graph convolutional network
Yue He, Fei Zhu
Expert Systems with Applications (2024) Vol. 259, pp. 125140-125140
Closed Access | Times Cited: 1

Self-supervised progressive graph neural network for enhanced multi-behavior recommendation
Tianhang Liu, Hui Zhou, Chao Li, et al.
International Journal of Machine Learning and Cybernetics (2024)
Closed Access | Times Cited: 1

Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs
Xi Zhu, Fake Lin, Ziwei Zhao, et al.
ACM transactions on office information systems (2024)
Closed Access | Times Cited: 1

MuLe : Multi-Grained Graph Learning for Multi-Behavior Recommendation
S.H. Lee, Geonwoo Ko, Hyun-Je Song, et al.
(2024), pp. 1163-1173
Closed Access | Times Cited: 1

Variational Collective Graph AutoEncoder for Multi-behavior Recommendation
Yang Liu, Qianzhen Rao, Weike Pan, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2023), pp. 438-447
Closed Access | Times Cited: 2

Hybrid Prompt Recommendation Explanation Generation combined with Graph Encoder
Tianhao Wang, Sheng Wu, Fen Yi, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 1
Open Access

Live Streaming Recommendation Based on Multiple Types of Repeated Behaviors
Mengxiao Zhu, Qi Shu, Shuanghong Shen, et al.
(2024)
Closed Access

Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
Zhiyong Cheng, Jianhua Dong, Fan Liu, et al.
ACM Transactions on Recommender Systems (2024) Vol. 2, Iss. 4, pp. 1-27
Open Access

A Behavior Relation-Aware Graph Contrastive Networks for Multi-Behavior Recommendation
Minxi Rong, Yan Han, Jun Zhang, et al.
2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) (2024), pp. 1663-1670
Closed Access

AutoDCS: Automated Decision Chain Selection in Deep Recommender Systems
Dugang Liu, Shenxian Xian, Yuhao Wu, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 956-965
Closed Access

Advancing Cascading Residual Graph Convolution Networks for Multi-behavior Recommendation: An Innovative Approach Within Representation Learning
Hu Liu, Xiaoyao Lu, Wei Zhou, et al.
Lecture notes in computer science (2024), pp. 287-299
Closed Access

Adaptive Augmentation and Neighbor Contrastive Learning for Multi-Behavior Recommendation
Xia Wu, Shaoqing Wang, Yao Zhang
Lecture notes in computer science (2024), pp. 18-32
Closed Access

Cascading Graph Convolution Contrastive Learning Networks for Multi-behavior Recommendation
Nan Liu, Shunmei Meng, Yu Jiang, et al.
Lecture notes in computer science (2024), pp. 3-18
Closed Access

Cascading graph contrastive learning for multi-behavior recommendation
Jiangquan Yang, Xiangxia Li, Bin Li, et al.
Neurocomputing (2024) Vol. 610, pp. 128618-128618
Closed Access

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