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:

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: 41

Showing 1-25 of 41 citing articles:

Counterfactual Debasing for Multi-behavior Recommendations
Sirui Huang, Qian Li, Xiangmeng Wang, et al.
Lecture notes in computer science (2025), pp. 164-179
Closed Access | Times Cited: 1

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: 16

Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation
Chang Meng, Chenhao Zhai, Yu Yang, et al.
(2023), pp. 1797-1806
Open Access | Times Cited: 15

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: 6

A novel joint neural collaborative filtering incorporating rating reliability
Jiangzhou Deng, Qi Wu, Songli Wang, et al.
Information Sciences (2024) Vol. 665, pp. 120406-120406
Closed Access | Times Cited: 6

Hypergraph-Enhanced Multi-interest Learning for multi-behavior sequential recommendation
Qingfeng Li, Huifang Ma, Wangyu Jin, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124497-124497
Closed Access | Times Cited: 5

Strategy-aware Bundle Recommender System
Yinwei Wei, Xiaohao Liu, Yunshan Ma, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 1198-1207
Closed Access | Times Cited: 13

Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment
Xin Xin, Xiangyuan Liu, Hanbing Wang, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023)
Open Access | Times Cited: 12

Learning from Hierarchical Structure of Knowledge Graph for Recommendation
Yingrong Qin, Chen Gao, Shuangqing Wei, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 1, pp. 1-24
Open Access | Times Cited: 12

Semantic-Guided Feature Distillation for Multimodal Recommendation
Fan Liu, Huilin Chen, Zhiyong Cheng, et al.
(2023), pp. 6567-6575
Open Access | Times Cited: 12

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: 4

Cluster-based Graph Collaborative Filtering
Fan Liu, Shuai Zhao, Zhiyong Cheng, et al.
ACM transactions on office information systems (2024) Vol. 42, Iss. 6, pp. 1-24
Open Access | Times Cited: 4

Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems
Zhaochun Ren, Na Huang, Yidan Wang, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 922-931
Open Access | Times Cited: 10

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

Hypergraph temporal multi-behavior recommendation
Jooweon Choi, Junehyoung Kwon, Yeong‐Hwa Kim, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 145, pp. 110112-110112
Closed Access

DeMBR: Denoising Model with Memory Pruning and Semantic Guidance for Multi-Behavior Recommendation
Shuai Zhang, Hua Chu, Jianan Li, et al.
(2025), pp. 521-529
Closed Access

Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation
Chenhao Zhai, Chang Meng, Yu Yang, et al.
(2025), pp. 1891-1902
Closed Access

Multi-behavior enhanced group recommendation for smart educational services
Duiqiang Wang, Yang Qing, Xianglin Wu, et al.
Deleted Journal (2025) Vol. 28, Iss. 1
Open Access

Personalized anchor debiased-contrastive learning for multi-behavior recommendation
Jianxing Zheng, Jie Li, Mingqing Huang
Expert Systems with Applications (2025), pp. 127685-127685
Closed Access

Multi-behavior contrastive learning with graph neural networks for recommendation
Zihan Zhao, Xiangrong Tong, Yingjie Wang, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112221-112221
Closed Access | Times Cited: 3

Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks
Y. Zhang, Yuanchen Bei, Hao Chen, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6257-6268
Open Access | Times Cited: 3

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

Behavior Pattern Mining-based Multi-Behavior Recommendation
Haojie Li, Zhiyong Cheng, Xu Yu, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 2291-2295
Closed Access | Times Cited: 2

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: 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

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