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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:

LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization
Honglei Zhang, Fangyuan Luo, Jun Wu, et al.
ACM transactions on office information systems (2022)
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

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: 48
Privacy-preserving clustering federated learning for non-IID data
Guixun Luo, Naiyue Chen, Jiahuan He, et al.
Future Generation Computer Systems (2024) Vol. 154, pp. 384-395
Closed Access | Times Cited: 17
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy
Jianqing Zhang, Hua Yang, Hao Wang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 3249-3261
Open Access | Times Cited: 29
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling
Yuwen Liu, Xiaokang Zhou, Huaizhen Kou, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 15, Iss. 4, pp. 1-17
Open Access | Times Cited: 27
HeteFedRec: Federated Recommender Systems with Model Heterogeneity
Yuan Wei, Liang Qu, Lizhen Cui, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1324-1337
Open Access | Times Cited: 7
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training
Sichun Luo, Yuanzhang Xiao, X Zhang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 5, pp. 1-24
Open Access | Times Cited: 6
Towards Secure and Robust Recommender Systems: A Data-Centric Perspective
Zongwei Wang, Junliang Yu, Tong Chen, et al.
(2025), pp. 1020-1023
Closed Access
FedRecI2C: A Novel Federated Recommendation Framework Integrating Communication and Computation to Accelerate Convergence Under Communication Constraints
Qi‐Tai Zheng, Xiujie Huang
Future Internet (2025) Vol. 17, Iss. 3, pp. 132-132
Open Access
Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures
Wei Yuan, Shilong Yuan, Chaoqun Yang, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 3, pp. 1-26
Open Access | Times Cited: 11
Ownership Verification for Federated Recommendation
Enyue Yang, Weike Pan, Lixin Fan, et al.
ACM transactions on office information systems (2025)
Open Access
FedPE: Adaptive Model Pruning-Expanding for Federated Learning on Mobile Devices
Liping Yi, Xiaorong Shi, Nan Wang, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 11, pp. 10475-10493
Closed Access | Times Cited: 3
Free lunch for federated remote sensing target fine-grained classification: A parameter-efficient framework
Shengchao Chen, Ting Shu, Huan Zhao, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111694-111694
Open Access | Times Cited: 3
Hide Your Model: A Parameter Transmission-free Federated Recommender System
Wei Yuan, Chaoqun Yang, Liang Qu, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 611-624
Open Access | Times Cited: 3
FedRL: A Reinforcement Learning Federated Recommender System for Efficient Communication Using Reinforcement Selector and Hypernet Generator
Yicheng Di, Hongjian Shi, Ruhui Ma, et al.
ACM Transactions on Recommender Systems (2024)
Open Access | Times Cited: 3
Communication-Efficient Federated Neural Collaborative Filtering with Multi-Armed Bandits
Waqar Ali, Muhammad Ammad-ud-din, Xiangmin Zhou, et al.
ACM Transactions on Recommender Systems (2024)
Open Access | Times Cited: 2
Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering
Enyue Yang, Weike Pan, Qiang Yang, et al.
ACM transactions on office information systems (2024) Vol. 42, Iss. 5, pp. 1-50
Closed Access | Times Cited: 2
Double Correction Framework for Denoising Recommendation
Zhuangzhuang He, Yifan Wang, Yonghui Yang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 1062-1072
Open Access | Times Cited: 2
BayesSentiRS: Bayesian sentiment analysis for addressing cold start and sparsity in ranking-based recommender systems
Liang‐Hong Wu
Expert Systems with Applications (2023) Vol. 238, pp. 121930-121930
Closed Access | Times Cited: 6
FedDeepFM: A Factorization Machine-Based Neural Network for Recommendation in Federated Learning
Yue Wu, Lei Su, Liping Wu, et al.
IEEE Access (2023) Vol. 11, pp. 74182-74190
Open Access | Times Cited: 5
PESI: Personalized Explanation recommendation with Sentiment Inconsistency between ratings and reviews
Huiqiong Wu, Guibing Guo, Enneng Yang, et al.
Knowledge-Based Systems (2023) Vol. 283, pp. 111133-111133
Closed Access | Times Cited: 5
A Privacy Preserving System for Movie Recommendations Using Federated Learning
David Neumann, Andreas Lutz, Karsten Müller, et al.
ACM Transactions on Recommender Systems (2023)
Open Access | Times Cited: 4
Generalized Embedding Machines for Recommender Systems
Enneng Yang, Xin Xin, Li Shen, et al.
Deleted Journal (2024) Vol. 21, Iss. 3, pp. 571-584
Open Access | Times Cited: 1
SAM: A Self-Adaptive Attention Module for Context-Aware Recommendation System
Jiabin Liu, Zheng Wei, Zhengpin Li, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 7775-7779
Open Access | Times Cited: 1
Towards Efficient Communication and Secure Federated Recommendation System via Low-rank Training
Ngoc-Hieu Nguyen, Tuan-Anh Nguyen, Tuan Nguyen, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3940-3951
Open Access | Times Cited: 1
Addressing data imbalance for federated recommender systems: a rebalancing framework with gradient alignment regularization
Pingshan Liu, Guo-Wei Lu
Journal of Intelligent Information Systems (2024)
Closed Access | Times Cited: 1
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