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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:

Multi-View Graph Convolutional Network for Multimedia Recommendation
Penghang Yu, Zhiyi Tan, Guanming Lu, et al.
(2023), pp. 6576-6585
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Multimodal Recommender Systems: A Survey
Qidong Liu, Jiaxi Hu, Yutian Xiao, et al.
ACM Computing Surveys (2024)
Closed Access | Times Cited: 17
Peer Collaboration in DBLP Using Graph Convolutional Network
Chintoo Kumar, Showkat Ahmad Dar, Charishma Batchu, et al.
SN Computer Science (2025) Vol. 6, Iss. 1
Closed Access
MP-LLAVRec: an agricultural product recommendation algorithm based on LLAVA and user modal preference
Peishan Li, Lutao Gao, Lilian Zhang, et al.
Frontiers in Physics (2025) Vol. 13
Open Access
Formalizing Multimedia Recommendation through Multimodal Deep Learning
Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, et al.
ACM Transactions on Recommender Systems (2024)
Open Access | Times Cited: 4
Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation
Rongqing Kenneth Ong, Andy W. H. Khong
(2025), pp. 773-781
Open Access
Revisiting explicit recommendation with DC-GCN: Divide-and-Conquer Graph Convolution Network
Furong Peng, Fujin Liao, Xuan Lu, et al.
Information Systems (2025), pp. 102513-102513
Closed Access
TPGRec: Text-enhanced and popularity-smoothing graph collaborative filtering for long-tail item recommendation
Chenyun Yu, Junfeng Zhao, Xuan Wu, et al.
Neurocomputing (2025), pp. 129539-129539
Closed Access
Graph guided local structure propagation for tensorial multi-view subspace clustering
Tao Zhang, Yan Qin, Yizhang Wang, et al.
Intelligent Data Analysis (2025)
Closed Access
One multimodal plugin enhancing all: CLIP-based pre-training framework enhancing multimodal item representations in recommendation systems
M. Mo, Weihai Lu, Qixiao Xie, et al.
Neurocomputing (2025), pp. 130059-130059
Closed Access
AMMRM: an adaptive multi-modal recommendation model with noise filtering and modal feature enhancement
Yingchun Tan, Mingyang Wang, Chaoran Wang, et al.
Journal of King Saud University - Computer and Information Sciences (2025) Vol. 37, Iss. 1-2
Open Access
AlignRec: Aligning and Training in Multimodal Recommendations
Yifan Liu, Kangning Zhang, Xiangyuan Ren, et al.
(2024), pp. 1503-1512
Open Access | Times Cited: 2
EATSA-GNN: Edge-Aware and Two-Stage attention for enhancing graph neural networks based on teacher-student mechanisms for graph node classification
Abdul Joseph Fofanah, Alpha Omar Leigh
Neurocomputing (2024), pp. 128686-128686
Open Access | Times Cited: 1
COURIER: contrastive user intention reconstruction for large-scale visual recommendation
Jia‐Qi Yang, Chenglei Dai, Dan Ou, et al.
Frontiers of Computer Science (2024) Vol. 19, Iss. 7
Closed Access | Times Cited: 1
CMC-MMR: multi-modal recommendation model with cross-modal correction
Yubin Wang, Hongbin Xia, Yuan Liu
Journal of Intelligent Information Systems (2024) Vol. 62, Iss. 5, pp. 1187-1211
Closed Access
Hierarchical Multimodal Graph Learning for Outfit Compatibility Modelling
Rucong Xu, Jianfeng Wang, Ming Li, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 6, pp. 4130-4142
Closed Access
Multimodal Pretraining and Generation for Recommendation: A Tutorial
Jieming Zhu, Xin Zhou, Chuhan Wu, et al.
(2024), pp. 1272-1275
Open Access
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback
Guipeng Xv, Xinyu Li, Ruobing Xie, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 3645-3656
Open Access
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation
Guojiao Lin, Meng Zhen, Dongjie Wang, et al.
(2024), pp. 1400-1409
Open Access
SOIL: Contrastive Second-Order Interest Learning for Multimodal Recommendation
Hongzu Su, Jingjing Li, Fengling Li, et al.
(2024), pp. 5838-5846
Closed Access
Self-derived Knowledge Graph Contrastive Learning for Recommendation
Lei Shi, Jiapeng Yang, Pengtao Lv, et al.
(2024), pp. 7571-7580
Closed Access
Exploiting heterogeneous information isolation and multi-view aggregation for multimodal recommendation
Pinyin Si, Yali Qi, Liqin Yu, et al.
Multimedia Systems (2024) Vol. 30, Iss. 6
Closed Access
MIN: Multi-stage Interactive Network for Multimodal Recommendation
M. Mo, Weihai Lu, Qixiao Xie, et al.
Lecture notes in computer science (2024), pp. 191-205
Closed Access
Multi-modal Information Multi-angle Mining for Multimedia Recommendation
Yijie Zhu, Mingyong Li
Lecture notes in computer science (2024), pp. 73-86
Closed Access
Multi-Intent Learning for Multi-Modal Recommendation
Mengfan Kong, Aimin Luo
(2024), pp. 947-951
Closed Access
Variational Mixture of Stochastic Experts Auto-Encoder for Multi-Modal Recommendation
Jing Yi, Zhenzhong Chen
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 8941-8954
Closed Access
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