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:
AutoML for Deep Recommender Systems: A Survey
Ruiqi Zheng, Liang Qu, Bin Cui, et al.
ACM transactions on office information systems (2023)
Open Access | Times Cited: 48
Ruiqi Zheng, Liang Qu, Bin Cui, et al.
ACM transactions on office information systems (2023)
Open Access | Times Cited: 48
Showing 1-25 of 48 citing articles:
A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
Chen Gao, Yu Zheng, Nian Li, et al.
ACM Transactions on Recommender Systems (2023) Vol. 1, Iss. 1, pp. 1-51
Open Access | Times Cited: 322
Chen Gao, Yu Zheng, Nian Li, et al.
ACM Transactions on Recommender Systems (2023) Vol. 1, Iss. 1, pp. 1-51
Open Access | Times Cited: 322
Semi-decentralized Federated Ego Graph Learning for Recommendation
Liang Qu, Ningzhi Tang, Ruiqi Zheng, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 339-348
Open Access | Times Cited: 27
Liang Qu, Ningzhi Tang, Ruiqi Zheng, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 339-348
Open Access | Times Cited: 27
Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation
Liang Qu, Wei Yuan, Ruiqi Zheng, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3910-3918
Open Access | Times Cited: 9
Liang Qu, Wei Yuan, Ruiqi Zheng, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3910-3918
Open Access | Times Cited: 9
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems
Dugang Liu, Chaohua Yang, Xing Tang, et al.
(2024), pp. 434-442
Closed Access | Times Cited: 8
Dugang Liu, Chaohua Yang, Xing Tang, et al.
(2024), pp. 434-442
Closed Access | Times Cited: 8
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
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
Benchmarking Automated Machine Learning (AutoML) Frameworks for Object Detection
Samuel De Oliveira, Oğuzhan Topsakal, Onur Toker
Information (2024) Vol. 15, Iss. 1, pp. 63-63
Open Access | Times Cited: 6
Samuel De Oliveira, Oğuzhan Topsakal, Onur Toker
Information (2024) Vol. 15, Iss. 1, pp. 63-63
Open Access | Times Cited: 6
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
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
Personalized Elastic Embedding Learning for On-Device Recommendation
Ruiqi Zheng, Liang Qu, Tong Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 3363-3375
Open Access | Times Cited: 4
Ruiqi Zheng, Liang Qu, Tong Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 7, pp. 3363-3375
Open Access | Times Cited: 4
Pone-GNN: Integrating Positive and Negative Feedback in Graph Neural Networks for Recommender Systems
Ziyang Liu, Chaokun Wang, Shuwen Zheng, et al.
ACM Transactions on Recommender Systems (2025)
Closed Access
Ziyang Liu, Chaokun Wang, Shuwen Zheng, et al.
ACM Transactions on Recommender Systems (2025)
Closed Access
Fusing Predictive and Large Language Models for Actionable Recommendations In Creative Marketing
Qi Yang, Aleksandr Farseev, Marlo Ongpin, et al.
ACM transactions on office information systems (2025)
Closed Access
Qi Yang, Aleksandr Farseev, Marlo Ongpin, et al.
ACM transactions on office information systems (2025)
Closed Access
Knowledge Distillation Based Recommendation Systems: A Comprehensive Survey
Haoyuan Song, Yibowen Zhao, Yixin Zhang, et al.
Electronics (2025) Vol. 14, Iss. 8, pp. 1538-1538
Open Access
Haoyuan Song, Yibowen Zhao, Yixin Zhang, et al.
Electronics (2025) Vol. 14, Iss. 8, pp. 1538-1538
Open Access
H yper Z ero : A Customized End-to-End Auto-Tuning System for Recommendation with Hourly Feedback
Xufeng Cai, Ziwei Guan, Lei Yuan, et al.
(2025), pp. 2194-2203
Open Access
Xufeng Cai, Ziwei Guan, Lei Yuan, et al.
(2025), pp. 2194-2203
Open Access
Scenario Shared Instance Modeling for Click-through Rate Prediction
Dugang Liu, Chaohua Yang, Yuwen Fu, et al.
(2025), pp. 2436-2447
Closed Access
Dugang Liu, Chaohua Yang, Yuwen Fu, et al.
(2025), pp. 2436-2447
Closed Access
Are Large Language Models the New Interface for Data Pipelines?
Sylvio Barbon, Paolo Ceravolo, Sven Groppe, et al.
(2024), pp. 1-6
Open Access | Times Cited: 3
Sylvio Barbon, Paolo Ceravolo, Sven Groppe, et al.
(2024), pp. 1-6
Open Access | Times Cited: 3
Budgeted Embedding Table For Recommender Systems
Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, et al.
(2024), pp. 557-566
Open Access | Times Cited: 2
Yunke Qu, Tong Chen, Quoc Viet Hung Nguyen, et al.
(2024), pp. 557-566
Open Access | Times Cited: 2
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion
Lijian Chen, Wei Yuan, Tong Chen, et al.
ACM transactions on office information systems (2024) Vol. 42, Iss. 6, pp. 1-26
Open Access | Times Cited: 2
Lijian Chen, Wei Yuan, Tong Chen, et al.
ACM transactions on office information systems (2024) Vol. 42, Iss. 6, pp. 1-26
Open Access | Times Cited: 2
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation
Xinyi Gao, Wentao Zhang, Junliang Yu, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 3042-3055
Open Access | Times Cited: 2
Xinyi Gao, Wentao Zhang, Junliang Yu, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 3042-3055
Open Access | Times Cited: 2
Content recommendation with two-level TransE predictors and interaction-aware embedding enhancement: An information seeking behavior perspective
Yang Chen, Ruozhen Zheng, Xuanru Chen, et al.
Information Processing & Management (2023) Vol. 60, Iss. 4, pp. 103402-103402
Closed Access | Times Cited: 4
Yang Chen, Ruozhen Zheng, Xuanru Chen, et al.
Information Processing & Management (2023) Vol. 60, Iss. 4, pp. 103402-103402
Closed Access | Times Cited: 4
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering
Yan Wen, Chen Gao, Lingling Yi, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 2547-2558
Open Access | Times Cited: 4
Yan Wen, Chen Gao, Lingling Yi, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 2547-2558
Open Access | Times Cited: 4
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
Pengyue Jia, Yejing Wang, Z. Z. Du, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 5194-5205
Open Access | Times Cited: 1
Pengyue Jia, Yejing Wang, Z. Z. Du, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 5194-5205
Open Access | Times Cited: 1
A review of AutoML optimization techniques for medical image applications
Muhammad Junaid Ali, Mokhtar Essaid, Laurent Moalic, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 118, pp. 102441-102441
Closed Access | Times Cited: 1
Muhammad Junaid Ali, Mokhtar Essaid, Laurent Moalic, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 118, pp. 102441-102441
Closed Access | Times Cited: 1
Falling behind again? Characterizing and assessing older adults' algorithm literacy in interactions with video recommendations
Yuhao Zhang, Jiqun Liu
Journal of the Association for Information Science and Technology (2024)
Closed Access | Times Cited: 1
Yuhao Zhang, Jiqun Liu
Journal of the Association for Information Science and Technology (2024)
Closed Access | Times Cited: 1
FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services
Wei Yuan, Chaoqun Yang, Guanhua Ye, et al.
ACM transactions on office information systems (2024)
Open Access | Times Cited: 1
Wei Yuan, Chaoqun Yang, Guanhua Ye, et al.
ACM transactions on office information systems (2024)
Open Access | Times Cited: 1
A Comprehensive Survey on Automated Machine Learning for Recommendations
Bo Chen, Xiangyu Zhao, Yejing Wang, et al.
ACM Transactions on Recommender Systems (2023) Vol. 2, Iss. 2, pp. 1-38
Open Access | Times Cited: 3
Bo Chen, Xiangyu Zhao, Yejing Wang, et al.
ACM Transactions on Recommender Systems (2023) Vol. 2, Iss. 2, pp. 1-38
Open Access | Times Cited: 3
I-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems
Yao Yao, Bin Liu, Haoxun He, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 9, pp. 4736-4749
Open Access | Times Cited: 2
Yao Yao, Bin Liu, Haoxun He, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 9, pp. 4736-4749
Open Access | Times Cited: 2
