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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:

Enhanced Multi-Task Learning and Knowledge Graph-Based Recommender System
Min Gao, Jian-Yu Li, Chunhua Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 35, Iss. 10, pp. 10281-10294
Closed Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Multiple Tasks for Multiple Objectives: A New Multiobjective Optimization Method via Multitask Optimization
Jian-Yu Li, Zhi‐Hui Zhan, Yun Li, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 29, Iss. 1, pp. 172-186
Open Access | Times Cited: 20
Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention
Darnbi Sakong, Viet Hung Vu, Thanh Trung Huynh, et al.
Information Sciences (2024) Vol. 680, pp. 121165-121165
Open Access | Times Cited: 5
SLDERCLC: Improving Smart Learning Frameworks Through Deep Learning Enhanced Recommender Systems Using an Efficient Cross-Layer Collaborative Approach
Harjinder Kaur, Tarandeep Kaur, Mukesh Kumar, et al.
SN Computer Science (2025) Vol. 6, Iss. 2
Closed Access
MSoMT: An Efficient Approach for Measuring Semantic Similarity Between Medical Terminologies
Van-Tan Bui, Thi-Vinh Ngo, Phuong-Thai Nguyen, et al.
Lecture notes in networks and systems (2025), pp. 360-370
Closed Access
In-depth survey: deep learning in recommender systems—exploring prediction and ranking models, datasets, feature analysis, and emerging trends
Shivangi Gheewala, Shuxiang Xu, Soonja Yeom
Neural Computing and Applications (2025)
Open Access
From data to insights: the application and challenges of knowledge graphs in intelligent audit
Hao Zhong, Dong Yang, Shengdong Shi, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Adaptive Exploration: Elevating Educational Impact of Unsupervised Knowledge Graph Question Answering
Xi Yang, Zhiping Chen, Hanghui Guo, et al.
Communications in computer and information science (2025), pp. 239-248
Closed Access
Broad information diffusion modeling for sharing link click prediction using knowledge graphs
Xiangjie Kong, Can Shu, Lingyun Wang, et al.
Expert Systems with Applications (2025), pp. 127276-127276
Closed Access
HKGCL: Hierarchical graph contrastive learning for multi-domain recommendation over knowledge graph
Yakun Li, Lei Hou, Dongmei Li, et al.
Expert Systems with Applications (2023) Vol. 233, pp. 120963-120963
Closed Access | Times Cited: 11
Accuracy-enhanced E-commerce recommendation based on deep learning and locality-sensitive hashing
Dejuan Li, James A. Esquivel
Wireless Networks (2024) Vol. 30, Iss. 9, pp. 7305-7320
Closed Access | Times Cited: 3
Multi-task-based spatiotemporal generative inference network: A novel framework for predicting the highway traffic speed
Guojian Zou, Ziliang Lai, Ting Wang, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121548-121548
Closed Access | Times Cited: 8
Multi-Scenario and Multi-Task Aware Feature Interaction for Recommendation System
Derun Song, Enneng Yang, Guibing Guo, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 6, pp. 1-20
Closed Access | Times Cited: 2
Attribute mining multi-view contrastive learning network for recommendation
Xu Yuan, Huinan Wu, Longfei Wang, et al.
Expert Systems with Applications (2024) Vol. 253, pp. 124224-124224
Closed Access | Times Cited: 2
Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation
Anchen Li, Bo Yang, Huan Huo, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 544-556
Closed Access | Times Cited: 2
User-station attention inference using smart card data: a knowledge graph assisted matrix decomposition model
Qi Zhang, Zhenliang Ma, Pengfei Zhang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 19, pp. 21944-21960
Open Access | Times Cited: 5
LollipopE: Bi-centered lollipop embedding for complex logic query on knowledge graph
Shiyao Yan, Changyuan Tian, Zequn Zhang, et al.
Neural Networks (2024) Vol. 175, pp. 106277-106277
Closed Access | Times Cited: 1
Fitting and sharing multi-task learning
Chengkai Piao, Jinmao Wei
Applied Intelligence (2024) Vol. 54, Iss. 9-10, pp. 6918-6929
Closed Access | Times Cited: 1
Multi-task recommendation based on dynamic knowledge graph
Minwei Wen, Hongyan Mei, Wei Wang, et al.
Applied Intelligence (2024) Vol. 54, Iss. 13-14, pp. 7151-7169
Closed Access | Times Cited: 1
Novel Behavior-Enhanced Long- and Short-Term Interest Model for Sequential Recommendation
Xiaolong Jiang, Heli Sun, Liang He
Information Sciences (2024) Vol. 679, pp. 121127-121127
Closed Access | Times Cited: 1
Open knowledge base canonicalization with multi-task learning
Bingchen Liu, Peng Huang, Weixin Zeng, et al.
World Wide Web (2024) Vol. 27, Iss. 5
Closed Access | Times Cited: 1
Multi-level Shared Knowledge Guided Learning for Knowledge Graph Completion
Yongxue Shan, Jie Zhou, Jie Peng, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 1027-1042
Open Access | Times Cited: 1
MDAR: A Knowledge-Graph-Enhanced Multi-Task Recommendation System Based on a DeepAFM and a Relation-Fused Multi-Gead Graph Attention Network
Songjiang Li, Qingxia Xue, Peng Wang
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8697-8697
Open Access | Times Cited: 2
Knowledge-enhanced multi-task recommendation in hyperbolic space
Junlin Zhu, Yihao Zhang, Yulin Wang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 23, pp. 28694-28710
Closed Access | Times Cited: 2
Heterogeneous-Grained Multi-Modal Graph Network for Outfit Recommendation
Rucong Xu, Jianfeng Wang, Yun Li
IEEE Transactions on Emerging Topics in Computational Intelligence (2024) Vol. 8, Iss. 2, pp. 1788-1799
Closed Access
Pretrained Language–Knowledge Graph Model Benefits Both Knowledge Graph Completion and Industrial Tasks: Taking the Blast Furnace Ironmaking Process as an Example
Xiaoke Huang, Chunjie Yang
Electronics (2024) Vol. 13, Iss. 5, pp. 845-845
Open Access
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