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:
Bias and Debias in Recommender System: A Survey and Future Directions
Jiawei Chen, Hande Dong, Xiang Wang, et al.
ACM transactions on office information systems (2022) Vol. 41, Iss. 3, pp. 1-39
Open Access | Times Cited: 369
Jiawei Chen, Hande Dong, Xiang Wang, et al.
ACM transactions on office information systems (2022) Vol. 41, Iss. 3, pp. 1-39
Open Access | Times Cited: 369
Showing 1-25 of 369 citing articles:
Self-supervised Graph Learning for Recommendation
Jiancan Wu, Xiang Wang, Fuli Feng, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021), pp. 726-735
Open Access | Times Cited: 900
Jiancan Wu, Xiang Wang, Fuli Feng, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021), pp. 726-735
Open Access | Times Cited: 900
Causal Intervention for Leveraging Popularity Bias in Recommendation
Yang Zhang, Fuli Feng, Xiangnan He, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021)
Open Access | Times Cited: 281
Yang Zhang, Fuli Feng, Xiangnan He, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021)
Open Access | Times Cited: 281
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu, Xiangnan He, Xiang Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 266
Le Wu, Xiangnan He, Xiang Wang, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 266
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
Tianxin Wei, Fuli Feng, Jiawei Chen, et al.
(2021), pp. 1791-1800
Open Access | Times Cited: 206
Tianxin Wei, Fuli Feng, Jiawei Chen, et al.
(2021), pp. 1791-1800
Open Access | Times Cited: 206
Advances and challenges in conversational recommender systems: A survey
Chongming Gao, Wenqiang Lei, Xiangnan He, et al.
AI Open (2021) Vol. 2, pp. 100-126
Open Access | Times Cited: 206
Chongming Gao, Wenqiang Lei, Xiangnan He, et al.
AI Open (2021) Vol. 2, pp. 100-126
Open Access | Times Cited: 206
Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications
Yu-Liang Chou, Catarina Moreira, Peter Bruza, et al.
Information Fusion (2021) Vol. 81, pp. 59-83
Open Access | Times Cited: 180
Yu-Liang Chou, Catarina Moreira, Peter Bruza, et al.
Information Fusion (2021) Vol. 81, pp. 59-83
Open Access | Times Cited: 180
Self-Supervised Learning for Recommender Systems: A Survey
Junliang Yu, Hongzhi Yin, Xin Xia, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 1, pp. 335-355
Open Access | Times Cited: 154
Junliang Yu, Hongzhi Yin, Xin Xia, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 1, pp. 335-355
Open Access | Times Cited: 154
AutoDebias: Learning to Debias for Recommendation
Jiawei Chen, Hande Dong, Yang Qiu, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021), pp. 21-30
Open Access | Times Cited: 139
Jiawei Chen, Hande Dong, Yang Qiu, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2021), pp. 21-30
Open Access | Times Cited: 139
Trustworthy AI: A Computational Perspective
Haochen Liu, Yiqi Wang, Wenqi Fan, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 14, Iss. 1, pp. 1-59
Open Access | Times Cited: 128
Haochen Liu, Yiqi Wang, Wenqi Fan, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 14, Iss. 1, pp. 1-59
Open Access | Times Cited: 128
XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation
Junliang Yu, Xin Xia, Tong Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2023), pp. 1-14
Open Access | Times Cited: 114
Junliang Yu, Xin Xia, Tong Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2023), pp. 1-14
Open Access | Times Cited: 114
Investigating gender fairness of recommendation algorithms in the music domain
Alessandro B. Melchiorre, Navid Rekabsaz, Emilia Parada‐Cabaleiro, et al.
Information Processing & Management (2021) Vol. 58, Iss. 5, pp. 102666-102666
Open Access | Times Cited: 109
Alessandro B. Melchiorre, Navid Rekabsaz, Emilia Parada‐Cabaleiro, et al.
Information Processing & Management (2021) Vol. 58, Iss. 5, pp. 102666-102666
Open Access | Times Cited: 109
Fairness in recommender systems: research landscape and future directions
Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogín, et al.
User Modeling and User-Adapted Interaction (2023) Vol. 34, Iss. 1, pp. 59-108
Open Access | Times Cited: 86
Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogín, et al.
User Modeling and User-Adapted Interaction (2023) Vol. 34, Iss. 1, pp. 59-108
Open Access | Times Cited: 86
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Jiangchao Yao, Shengyu Zhang, Yang Yao, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 67
Jiangchao Yao, Shengyu Zhang, Yang Yao, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 67
Recommender Systems in the Era of Large Language Models (LLMs)
Zihuai Zhao, Wenqi Fan, Jiatong Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6889-6907
Open Access | Times Cited: 63
Zihuai Zhao, Wenqi Fan, Jiatong Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6889-6907
Open Access | Times Cited: 63
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System
Chongming Gao, Shiqi Wang, Shijun Li, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 1, pp. 1-27
Open Access | Times Cited: 45
Chongming Gao, Shiqi Wang, Shijun Li, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 1, pp. 1-27
Open Access | Times Cited: 45
Large Language Models as Zero-Shot Conversational Recommenders
Zhankui He, Zhouhang Xie, R. K. Jha, et al.
(2023), pp. 720-730
Open Access | Times Cited: 41
Zhankui He, Zhouhang Xie, R. K. Jha, et al.
(2023), pp. 720-730
Open Access | Times Cited: 41
Representation Learning with Large Language Models for Recommendation
Xubin Ren, Wei Wei, Lianghao Xia, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3464-3475
Open Access | Times Cited: 29
Xubin Ren, Wei Wei, Lianghao Xia, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3464-3475
Open Access | Times Cited: 29
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
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
On Generative Agents in Recommendation
An Zhang, Yuxin Chen, Leheng Sheng, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1807-1817
Open Access | Times Cited: 15
An Zhang, Yuxin Chen, Leheng Sheng, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1807-1817
Open Access | Times Cited: 15
C2lRec: Causal Contrastive Learning for User Cold-start Recommendation with Social Variable
Xiaolong Xu, Hongsheng Dong, Haolong Xiang, et al.
ACM transactions on office information systems (2025)
Closed Access | Times Cited: 1
Xiaolong Xu, Hongsheng Dong, Haolong Xiang, et al.
ACM transactions on office information systems (2025)
Closed Access | Times Cited: 1
Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation
Zihao Zhao, Jiawei Chen, Sheng Zhou, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 10, pp. 9920-9931
Open Access | Times Cited: 59
Zihao Zhao, Jiawei Chen, Sheng Zhou, et al.
IEEE Transactions on Knowledge and Data Engineering (2022) Vol. 35, Iss. 10, pp. 9920-9931
Open Access | Times Cited: 59
Trustworthy Recommender Systems
Shoujin Wang, Xiuzhen Zhang, Yan Wang, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 15, Iss. 4, pp. 1-20
Open Access | Times Cited: 39
Shoujin Wang, Xiuzhen Zhang, Yan Wang, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 15, Iss. 4, pp. 1-20
Open Access | Times Cited: 39
Contrastive Self-supervised Learning in Recommender Systems: A Survey
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 2, pp. 1-39
Open Access | Times Cited: 31
Mengyuan Jing, Yanmin Zhu, Tianzi Zang, et al.
ACM transactions on office information systems (2023) Vol. 42, Iss. 2, pp. 1-39
Open Access | Times Cited: 31
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis
Jonathan Stray, Alon Halevy, Parisa Assar, et al.
ACM Transactions on Recommender Systems (2023) Vol. 2, Iss. 3, pp. 1-57
Open Access | Times Cited: 30
Jonathan Stray, Alon Halevy, Parisa Assar, et al.
ACM Transactions on Recommender Systems (2023) Vol. 2, Iss. 3, pp. 1-57
Open Access | Times Cited: 30
