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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:

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

Showing 26-50 of 91 citing articles:

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
Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations
Wenchao Sun, Muyang Ma, Pengjie Ren, et al.
IEEE Transactions on Knowledge and Data Engineering (2021) Vol. 35, Iss. 4, pp. 4106-4123
Open Access | Times Cited: 25
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
Counterfactual Collaborative Reasoning
Jianchao Ji, Zelong Li, Shuyuan Xu, et al.
(2023)
Open Access | Times Cited: 9
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability
Zhichao Xu, Hansi Zeng, Juntao Tan, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 1, pp. 1-29
Open Access | Times Cited: 7
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation
Zhaoyang Chu, Yao Wan, Qian Li, et al.
(2024) Vol. 4511, pp. 389-401
Open Access | Times Cited: 2
Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning
Jiajun Cui, Minghe Yu, Bo Jiang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 1103-1116
Open Access | Times Cited: 2
Uncertainty-Aware Explainable Recommendation with Large Language Models
Yicui Peng, Hao Chen, Ching-Sheng Lin, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access | Times Cited: 2
Autonomous Justification for Enabling Explainable Decision Support in Human-Robot Teaming
Matthew B. Luebbers, Aaquib Tabrez, Kyler Ruvane, et al.
(2023)
Open Access | Times Cited: 6
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI
Juntao Tan, Yongfeng Zhang
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 2166-2176
Open Access | Times Cited: 6
Ai-based counterfactual reasoning for tourism research
Haiyang Xia, Birgit Muskat, Gang Li, et al.
Annals of Tourism Research (2023) Vol. 101, pp. 103617-103617
Open Access | Times Cited: 5
Counterfactual Explainable Conversational Recommendation
Dianer Yu, Qian Li, Xiangmeng Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 6, pp. 2388-2400
Closed Access | Times Cited: 5
Explaining recommendation system using counterfactual textual explanations
Niloofar Ranjbar, Saeedeh Momtazi, MohammadMehdi Homayoonpour
Machine Learning (2023) Vol. 113, Iss. 4, pp. 1989-2012
Closed Access | Times Cited: 4
MHANER: A Multi-source Heterogeneous Graph Attention Network for Explainable Recommendation in Online Games
Dongjin Yu, Xingliang Wang, Yu Xiong, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 15, Iss. 4, pp. 1-23
Open Access | Times Cited: 4
Explainable Recommender with Geometric Information Bottleneck
Hanqi Yan, Lin Gui, Menghan Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 3036-3046
Open Access | Times Cited: 1
Interact with the Explanations: Causal Debiased Explainable Recommendation System
xu liu, Tong Yu, Kaige Xie, et al.
(2024), pp. 472-481
Closed Access | Times Cited: 1
Distributional Fairness-aware Recommendation
Hao Yang, Xian Wu, Zhaopeng Qiu, et al.
ACM transactions on office information systems (2024) Vol. 42, Iss. 5, pp. 1-28
Closed Access | Times Cited: 1
Counterfactual Explanations for Visual Recommender Systems
Neham Jain, Vibhhu Sharma, Gaurav Sinha
(2024), pp. 674-677
Open Access | Times Cited: 1
Generating Explanations for Explainable Recommendations Using Filter-Enhanced Time-Series Information
Yuanpeng Qu, Hajime Nobuhara
IEEE Access (2024) Vol. 12, pp. 78480-78495
Open Access | Times Cited: 1
Learning-based counterfactual explanations for recommendation
Jingxuan Wen, Huafeng Liu, Liping Jing, et al.
Science China Information Sciences (2024) Vol. 67, Iss. 8
Closed Access | Times Cited: 1
User Behavior Simulation with Large Language Model-based Agents for Recommender Systems
Lei Wang, Jingsen Zhang, Hao Yang, et al.
ACM transactions on office information systems (2024)
Closed Access | Times Cited: 1
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems
Yao Zhou, Haonan Wang, Jingrui He, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 9
Towards Explainable Recommendation Via Bert-Guided Explanation Generator
Huijing Zhan, Ling Li, Shaohua Li, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 3
FINRule: Feature Interactive Neural Rule Learning
Lu Yu, Meng Li, Yalin Zhang, et al.
(2023), pp. 3020-3029
Closed Access | Times Cited: 3
Mitigating Confounding Bias for Recommendation via Counterfactual Inference
Ming He, Xinlei Hu, Changshu Li, et al.
Lecture notes in computer science (2023), pp. 524-540
Closed Access | Times Cited: 2

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