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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:

LLMRec: Large Language Models with Graph Augmentation for Recommendation
Wei Wei, Xubin Ren, Jiabin Tang, et al.
(2024), pp. 806-815
Open Access | Times Cited: 53

Showing 26-50 of 53 citing articles:

Multi-view Intent Learning and Alignment with Large Langue Models for Session-based Recommendation
Shutong Qiao, Wei Zhou, Junhao Wen, et al.
ACM transactions on office information systems (2025)
Closed Access
LLM-based intelligent Q&A system for railway locomotive maintenance standardization
Ao Chen, Ye Tian, Jinyi Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
SPRec: Self-Play to Debias LLM-based Recommendation
Chongming Gao, Renqiang Chen, Shuai Yuan, et al.
(2025), pp. 5075-5084
Closed Access
Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
Yaochen Zhu, Chao Wan, Harald Steck, et al.
(2025), pp. 3323-3334
Closed Access
Towards More Personalized Recommendations by Modeling Users? Temporal Behaviors with Task-Based Graph Neural Network (TGNN)
Maryam Amirizaniani, Shawon Sarkar, Chirag Shah
ACM Transactions on the Web (2025)
Closed Access
Mitigating Propensity Bias of Large Language Models for Recommender Systems
Guixian Zhang, Guan Yuan, Debo Cheng, et al.
ACM transactions on office information systems (2025)
Closed Access
Training Large Recommendation Models via Graph-Language Tokens Alignment
Mingdai Yang, Zhiwei Liu, Liangwei Yang, et al.
(2025), pp. 1470-1474
Closed Access
Data Science in Transportation Networks with Graph Neural Networks: A Review and Outlook
Jiawei Xue, Ruichen Tan, Jianzhu Ma, et al.
Data Science for Transportation (2025) Vol. 7, Iss. 2
Open Access
Learnable Item Tokenization for Generative Recommendation
Wenjie Wang, Honghui Bao, Xinyu Lin, et al.
(2024), pp. 2400-2409
Open Access | Times Cited: 3
Addressing sparse data challenges in recommendation systems: A Systematic review of rating estimation using sparse rating data and profile enrichment techniques
Thennakoon Mudiyanselage Anupama Udayangani Gunathilaka, Prabhashrini Dhanushika Manage, Jinglan Zhang, et al.
Intelligent Systems with Applications (2025), pp. 200474-200474
Open Access
A Multimodal Graph Recommendation Method Based on Cross-Attention Fusion
Kai Li, Long Xu, Cheng Zhu, et al.
Mathematics (2024) Vol. 12, Iss. 15, pp. 2353-2353
Open Access | Times Cited: 2
Knowledge graph confidence-aware embedding for recommendation
Chen Huang, Fei Yu, Zhiguo Wan, et al.
Neural Networks (2024) Vol. 180, pp. 106601-106601
Closed Access | Times Cited: 2
A Survey of Large Language Models for Graphs
Xubin Ren, Jiabin Tang, Dawei Yin, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6616-6626
Open Access | Times Cited: 2
Denoising Alignment with Large Language Model for Recommendation
Yingtao Peng, Chen Gao, Yu Zhang, et al.
ACM transactions on office information systems (2024)
Closed Access | Times Cited: 2
Reproducibility of LLM-based Recommender Systems: the Case Study of P5 Paradigm
Pasquale Lops, Antonio Silletti, Marco Polignano, et al.
(2024), pp. 116-125
Open Access | Times Cited: 2
Invariant debiasing learning for recommendation via biased imputation
Ting Bai, Weijie Chen, Cheng Yang, et al.
Information Processing & Management (2024) Vol. 62, Iss. 3, pp. 104028-104028
Closed Access | Times Cited: 1
Hypergraph projection enhanced collaborative filtering
Yuan Xiangyi, Chang Meng, Hengyu Zhang, et al.
International Journal of Data Science and Analytics (2024)
Closed Access
LLM-enhanced Cascaded Multi-level Learning on Temporal Heterogeneous Graphs
Fengyi Wang, Guanghui Zhu, Chunfeng Yuan, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 512-521
Closed Access
Reinforce Tokens for the Next Recommendation Generation
Kai Zhang, Linping Gao, Zhaobao Yang, et al.
Lecture notes in computer science (2024), pp. 249-260
Closed Access
Large Language Model Ranker with Graph Reasoning for Zero-Shot Recommendation
Xuan Zhang, Chunyu Wei, Ruyu Yan, et al.
Lecture notes in computer science (2024), pp. 356-370
Closed Access
ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool
Changxin Tian, Binbin Hu, Chunjing Gan, et al.
(2024), pp. 63-73
Open Access
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding
Zhizhong Wan, Bin Yin, Junjie Xie, et al.
(2024), pp. 23-32
Open Access
TLRec: A Transfer Learning Framework to Enhance Large Language Models for Sequential Recommendation Tasks
Jiaye Lin, Shuang Peng, Zhong Zhang, et al.
(2024), pp. 1119-1124
Open Access
Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models
Cui Yu, Feng Liu, P. Wang, et al.
(2024), pp. 507-517
Open Access
GLAMOR: Graph-based LAnguage MOdel embedding for citation Recommendation
Zafar Ali, Guilin Qi, Irfan Ullah, et al.
(2024), pp. 929-933
Open Access

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