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:

Counterfactual Explainable Recommendation
Juntao Tan, Shuyuan Xu, Yingqiang Ge, et al.
(2021), pp. 1784-1793
Open Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
Shijie Geng, Shuchang Liu, Zuohui Fu, et al.
(2022), pp. 299-315
Closed Access | Times Cited: 178

Personalized Prompt Learning for Explainable Recommendation
Lei Li, Yongfeng Zhang, Li Chen
ACM transactions on office information systems (2023) Vol. 41, Iss. 4, pp. 1-26
Open Access | Times Cited: 78

Causal Inference in Recommender Systems: A Survey and Future Directions
Chen Gao, Yu Zheng, Wenjie Wang, et al.
ACM transactions on office information systems (2024) Vol. 42, Iss. 4, pp. 1-32
Open Access | Times Cited: 27

Reinforced Path Reasoning for Counterfactual Explainable Recommendation
Xiangmeng Wang, Qian Li, Dianer Yu, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 3443-3459
Open Access | Times Cited: 15

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

Time-aware Path Reasoning on Knowledge Graph for Recommendation
Yuyue Zhao, Xiang Wang, Jiawei Chen, et al.
ACM transactions on office information systems (2022) Vol. 41, Iss. 2, pp. 1-26
Open Access | Times Cited: 39

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

Attention Is Not the Only Choice: Counterfactual Reasoning for Path-Based Explainable Recommendation
Yicong Li, Xiangguo Sun, Hongxu Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 9, pp. 4458-4471
Open Access | Times Cited: 13

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

A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems
Oren Barkan, Veronika Bogina, Liya Gurevitch, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3723-3733
Closed Access | Times Cited: 5

Domain Counterfactual Data Augmentation for Explainable Recommendation
Yi Yu, Kazunari Sugiyama, Adam Jatowt
ACM transactions on office information systems (2025)
Closed Access

Cross-Domain Causal Preference Learning for Out-of-Distribution Recommendation
Zhuhang Li, Ning Yang
Lecture notes in computer science (2025), pp. 245-260
Closed Access

Causal Inference for Recommendation: Foundations, Methods and Applications
Shuyuan Xu, Jianchao Ji, Yunqi Li, et al.
ACM Transactions on Intelligent Systems and Technology (2025)
Open Access

Counterfactual Explanations for Recommendation Bias
Leonidas Zafeiriou, Panayiotis Tsaparas, Evaggelia Pitoura
Communications in computer and information science (2025), pp. 178-193
Closed Access

EACE: Explain Anomaly via Counterfactual Explanations
Peng Zhou, Qingchun Tong, Shiji Chen, et al.
Pattern Recognition (2025), pp. 111532-111532
Closed Access

Destination Competitiveness Improvement: Insights From Causal Counterfactual AI Analysis
Haiyang Xia, Birgit Muskat, Marion Karl, et al.
Journal of Travel Research (2025)
Closed Access

Uncovering Main Causalities for Long-tailed Information Extraction
Guoshun Nan, Jiaqi Zeng, Rui Qiao, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 9683-9695
Open Access | Times Cited: 34

User-controllable Recommendation Against Filter Bubbles
Wenjie Wang, Fuli Feng, Liqiang Nie, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), pp. 1251-1261
Open Access | Times Cited: 26

Counterfactual Debiasing for Fact Verification
Weizhi Xu, Qiang Liu, Shu Wu, et al.
(2023), pp. 6777-6789
Open Access | Times Cited: 15

A Counterfactual Collaborative Session-based Recommender System
Wenzhuo Song, Shoujin Wang, Yan Wang, et al.
Proceedings of the ACM Web Conference 2022 (2023)
Open Access | Times Cited: 13

Towards Explainable Conversational Recommender Systems
Shuyu Guo, Shuo Zhang, Weiwei Sun, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 2786-2795
Open Access | Times Cited: 12

GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning
Giacomo Medda, Francesco� Fabbri, Mirko Marras, et al.
ACM Transactions on Intelligent Systems and Technology (2024)
Open Access | Times Cited: 4

Exploring Categorizations of Algorithmic Affordances in Graphical User Interfaces of Recommender Systems
Ester Bartels, Aletta Smits, Chris Detweiler, et al.
Lecture notes in computer science (2024), pp. 173-184
Closed Access | Times Cited: 4

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

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