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:

Interaction-aware Drug Package Recommendation via Policy Gradient
Zhi Zheng, Chao Wang, Tong Xu, et al.
ACM transactions on office information systems (2022) Vol. 41, Iss. 1, pp. 1-32
Closed Access | Times Cited: 41

Showing 1-25 of 41 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: 309

When MOE Meets LLMs: Parameter Efficient Fine-tuning for Multi-task Medical Applications
Qidong Liu, Xian Wu, Xiangyu Zhao, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1104-1114
Open Access | Times Cited: 18

Harnessing Large Language Models for Text-Rich Sequential Recommendation
Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3207-3216
Open Access | Times Cited: 10

Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
Shuyao Wang, Yongduo Sui, Jiancan Wu, et al.
(2024), pp. 740-749
Open Access | Times Cited: 9

Smart E-Learning Framework for Personalized Adaptive Learning and Sequential Path Recommendations Using Reinforcement Learning
Samina Amin, M. Irfan Uddin, Ala Abdulsalam Alarood, et al.
IEEE Access (2023) Vol. 11, pp. 89769-89790
Open Access | Times Cited: 19

A Survey on Reinforcement Learning for Recommender Systems
Yuanguo Lin, Yong Liu, Fan Lin, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 10, pp. 13164-13184
Open Access | Times Cited: 17

BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment
Xiao Hu, Yuan Cheng, Zhi Zheng, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 4146-4155
Closed Access | Times Cited: 12

Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment
Zhi Zheng, Xiao Hu, Zhaopeng Qiu, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 5681-5694
Closed Access | Times Cited: 4

IReGNN: Implicit review-enhanced graph neural network for explainable recommendation
Qingbo Hao, Chundong Wang, Yingyuan Xiao, et al.
Knowledge-Based Systems (2025) Vol. 311, pp. 113113-113113
Closed Access

Unleashing the Power of Large Language Model for Denoising Recommendation
Shuyao Wang, Zhi Zheng, Yongduo Sui, et al.
(2025), pp. 252-263
Open Access

Medication recommendation via dual molecular modalities and multi-step enhancement
Shi Mu, Chen Li, Xiang Li, et al.
Expert Systems with Applications (2025), pp. 127163-127163
Closed Access

STRec: Sparse Transformer for Sequential Recommendations
C. Li, Yejing Wang, Qidong Liu, et al.
(2023), pp. 101-111
Closed Access | Times Cited: 10

Community-based social recommendation under local differential privacy protection
Taolin Guo, Shunshun Peng, Yong Li, et al.
Information Sciences (2023) Vol. 639, pp. 119002-119002
Closed Access | Times Cited: 9

When Box Meets Graph Neural Network in Tag-aware Recommendation
Fake Lin, Ziwei Zhao, Xi Zhu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 1770-1780
Open Access | Times Cited: 3

DSTGCN: Dynamic Spatial-Temporal Graph Convolutional Network for Traffic Prediction
Jia Hu, Xianghong Lin, Chu Wang
IEEE Sensors Journal (2022) Vol. 22, Iss. 13, pp. 13116-13124
Closed Access | Times Cited: 14

Towards fair and personalized federated recommendation
Shanfeng Wang, Hao Tao, Jianzhao Li, et al.
Pattern Recognition (2023) Vol. 149, pp. 110234-110234
Closed Access | Times Cited: 8

Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach
Zhi Zheng, Ying Sun, Xin Song, et al.
(2023), pp. 443-454
Closed Access | Times Cited: 7

DAI-Net: Dual Adaptive Interaction Network for Coordinated Medication Recommendation
Xin Zou, Xiao He, Xiao Zheng, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 6201-6211
Closed Access | Times Cited: 2

Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning
Shuyao Wang, Yongduo Sui, Chao Wang, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 3745-3755
Closed Access | Times Cited: 2

Safe drug recommendation through forward data imputation and recurrent residual neural network
Junping Liu, Zhiju Wan, Xinrong Hu, et al.
Applied Soft Computing (2024) Vol. 161, pp. 111723-111723
Closed Access | Times Cited: 2

CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient Health State
Xiang Li, Shunpan Liang, Yu Lei, et al.
(2024), pp. 1276-1285
Open Access | Times Cited: 2

Doctor Specific Tag Recommendation for Online Medical Record Management
Yejing Wang, Shen Ge, Xiangyu Zhao, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 5150-5161
Closed Access | Times Cited: 5

MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment
Zhi Zheng, Xiao Hu, Shanshan Gao, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 543-552
Closed Access | Times Cited: 1

PrescDRL: deep reinforcement learning for herbal prescription planning in treatment of chronic diseases
Kuo Yang, Zecong Yu, Xin Su, et al.
Chinese Medicine (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 1

Research directions in recommender systems for health and well-being
Hanna Hauptmann, Alan Said, Christoph Trattner
User Modeling and User-Adapted Interaction (2022) Vol. 32, Iss. 5, pp. 781-786
Open Access | Times Cited: 6

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