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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:

Causal Collaborative Filtering
Shuyuan Xu, Yingqiang Ge, Yunqi Li, et al.
(2023), pp. 235-245
Open Access | Times Cited: 22

Showing 22 citing articles:

Counterfactual Explainable Recommendation
Juntao Tan, Shuyuan Xu, Yingqiang Ge, et al.
(2021), pp. 1784-1793
Open Access | Times Cited: 90
Mitigating Confounding Bias in Recommendation via Information Bottleneck
Dugang Liu, Pengxiang Cheng, Hong Zhu, et al.
(2021), pp. 351-360
Closed Access | Times Cited: 63
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning
Yingqiang Ge, Xiaoting Zhao, Lucia Yu, et al.
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (2022), pp. 316-324
Closed Access | Times Cited: 43
Explainable Fairness in Recommendation
Yingqiang Ge, Juntao Tan, Zhu Yan, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 681-691
Open Access | Times Cited: 38
Fairness in Recommendation: Foundations, Methods, and Applications
Yunqi Li, Hanxiong Chen, Shuyuan Xu, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 14, Iss. 5, pp. 1-48
Open Access | Times Cited: 19
Deconfounded Causal Collaborative Filtering
Shuyuan Xu, Juntao Tan, Shelby Heinecke, et al.
ACM Transactions on Recommender Systems (2023) Vol. 1, Iss. 4, pp. 1-25
Open Access | Times Cited: 17
Recommender Systems Based on Graph Embedding Techniques: A Review
Yue Deng
IEEE Access (2022) Vol. 10, pp. 51587-51633
Open Access | Times Cited: 24
Improving Personalized Explanation Generation through Visualization
Shijie Geng, Zuohui Fu, Yingqiang Ge, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 19
Dynamic Causal Collaborative Filtering
Shuyuan Xu, Juntao Tan, Zuohui Fu, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 2301-2310
Open Access | Times Cited: 17
From big data to intelligent libraries: Leveraging analytics for enhanced user experiences
Akinade Adebowale Adewojo, Aderinola Ololade Dunmade
Business Information Review (2024) Vol. 41, Iss. 3, pp. 104-109
Closed Access | Times Cited: 2
KDCRec: Knowledge Distillation for Counterfactual Recommendation Via Uniform Data
Dugang Liu, Pengxiang Cheng, Zinan Lin, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-14
Closed Access | Times Cited: 10
csKT: Addressing cold-start problem in knowledge tracing via kernel bias and cone attention
Youheng Bai, X. J. Li, Zitao Liu, et al.
Expert Systems with Applications (2024), pp. 125988-125988
Closed Access | Times Cited: 1
Causal Structure Learning for Recommender System
Shuyuan Xu, Da Xu, Evren Körpeoğlu, et al.
ACM Transactions on Recommender Systems (2024) Vol. 3, Iss. 1, pp. 1-23
Open Access | Times Cited: 1
A Survey on Causal Inference for Recommendation
Huishi Luo, Fuzhen Zhuang, Ruobing Xie, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Self-derived Knowledge Graph Contrastive Learning for Recommendation
Lei Shi, Jiapeng Yang, Pengtao Lv, et al.
(2024), pp. 7571-7580
Closed Access
Contrastive Generator Generative Adversarial Networks for Sequential Recommendation
Jianhong Li
Lecture notes in computer science (2024), pp. 50-64
Closed Access
Causal Attentive Group Recommendation
Liancheng Xu, Xiaoqi Wu, Xiaoxiang Wang, et al.
Lecture notes in computer science (2024), pp. 391-406
Closed Access
User preference Based Personalized Collaborative Filtering for Large Scale Recommender Systems
V Priya, J Keerthika, L.R Sujithra
(2022), pp. 1-9
Closed Access | Times Cited: 2
CSR 2021: The 1st International Workshop on Causality in Search and Recommendation
Yongfeng Zhang, Xu Chen, Yi Zhang, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021), pp. 2677-2680
Closed Access | Times Cited: 2
Learn Basic Skills and Reuse
Hanxiong Chen, Yunqi Li, He Zhu, et al.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022), pp. 169-179
Open Access | Times Cited: 1
ICCVAE: Item Concept Causal Variational Auto-Encoder for top-n recommendation
Jingyun Feng, Qianqian Wang, Zhejun Huang, et al.
2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP) (2023), pp. 908-913
Closed Access
Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach
Wen Huang, Jingbo Zhou, Xintao Wu, et al.
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 27-36
Closed Access
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