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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:

Temporal sensitive heterogeneous graph neural network for news recommendation
Zhenyan Ji, Mengdan Wu, Hong Yang, et al.
Future Generation Computer Systems (2021) Vol. 125, pp. 324-333
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Personalized News Recommendation: Methods and Challenges
Chuhan Wu, Fangzhao Wu, Yongfeng Huang, et al.
ACM transactions on office information systems (2022) Vol. 41, Iss. 1, pp. 1-50
Open Access | Times Cited: 119
Multi-view knowledge representation learning for personalized news recommendation
Chao Chang, Feiyi Tang, Peng Yang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Scientific paper recommendation systems: a literature review of recent publications
Christin Katharina Kreutz, Ralf Schenkel
International Journal on Digital Libraries (2022) Vol. 23, Iss. 4, pp. 335-369
Open Access | Times Cited: 31
A Survey of Personalized News Recommendation
Xiangfu Meng, Hongjin Huo, Xiaoyan Zhang, et al.
Data Science and Engineering (2023) Vol. 8, Iss. 4, pp. 396-416
Open Access | Times Cited: 18
VIGA: A variational graph autoencoder model to infer user interest representations for recommendation
Mingxin Gan, Hang Zhang
Information Sciences (2023) Vol. 640, pp. 119039-119039
Closed Access | Times Cited: 14
Flowlet-level multipath routing based on graph neural network in OpenFlow-based SDN
Binghao Yan, Qinrang Liu, Jianliang Shen, et al.
Future Generation Computer Systems (2022) Vol. 134, pp. 140-153
Closed Access | Times Cited: 18
Edge-enabled federated sequential recommendation with knowledge-aware Transformer
Shanming Wei, Shunmei Meng, Qianmu Li, et al.
Future Generation Computer Systems (2023) Vol. 148, pp. 610-622
Closed Access | Times Cited: 11
Effective graph-neural-network based models for discovering Structural Hole Spanners in large-scale and diverse networks
Diksha Goel, Hong Shen, Hui Tian, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123636-123636
Open Access | Times Cited: 3
Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation
Guangping Zhang, Dongsheng Li, Hansu Gu, et al.
ACM Transactions on the Web (2024) Vol. 18, Iss. 3, pp. 1-33
Closed Access | Times Cited: 2
Harnessing Heterogeneous Information Networks: A systematic literature review
Leila Outemzabet, Nicolas Gaud, Aurélie Bertaux, et al.
Computer Science Review (2024) Vol. 52, pp. 100633-100633
Closed Access | Times Cited: 2
Personalized multi-head self-attention network for news recommendation
Cong Zheng, Yixuan Song
Neural Networks (2024) Vol. 181, pp. 106824-106824
Closed Access | Times Cited: 2
Multi-Behavior Enhanced Heterogeneous Graph Convolutional Networks Recommendation Algorithm based on Feature-Interaction
Yang Li, Fangtao Zhao, Zheng Chen, et al.
Applied Artificial Intelligence (2023) Vol. 37, Iss. 1
Open Access | Times Cited: 4
Mining multiple sequential patterns through multi-graph representation for next point-of-interest recommendation
Mingxin Gan, Caiping Tan
World Wide Web (2022) Vol. 26, Iss. 4, pp. 1345-1370
Closed Access | Times Cited: 7
AI-News Personalization System Combining Complete Content Characterization and Full Term Interest Portrayal in the Big Data Era
Wenwen Fu
IEEE Access (2023) Vol. 11, pp. 85086-85096
Open Access | Times Cited: 4
Deep Collaborative Online Learning Resource Recommendation Based on Attention Mechanism
Cuiping Hao, Ting Yang
Scientific Programming (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 6
Generative Adversarial Zero-Shot Learning for Cold-Start News Recommendation
Manal Alshehri, Xiangliang Zhang
Proceedings of the 31st ACM International Conference on Information & Knowledge Management (2022)
Open Access | Times Cited: 6
Cold-start item recommendation for representation learning based on heterogeneous information networks with fusion side information
Meizi Li, Weiqiao Que, Ziyao Geng, et al.
Future Generation Computer Systems (2023) Vol. 149, pp. 227-239
Closed Access | Times Cited: 3
RUICP: Commodity Recommendation Model Based on User Real Time Interest and Commodity Popularity
Wenchao Xu, Xia Ling
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access
Improving Prompt-Based News Recommendation with Individual Template and Customized Answer
Yijiang Li, Jun Wu
(2024)
Closed Access
A Hybrid News Recommendation Approach Based on Title–Content Matching
Shuhao Jiang, Yizi Lu, Haoran Song, et al.
Mathematics (2024) Vol. 12, Iss. 13, pp. 2125-2125
Open Access
MIMA: Multi-Feature Interaction Meta-Path Aggregation Heterogeneous Graph Neural Network for Recommendations
Yang Li, Shichao Yan, Fangtao Zhao, et al.
Future Internet (2024) Vol. 16, Iss. 8, pp. 270-270
Open Access
IMPROVING RECOMMENDATION SYSTEM PERFORMANCE WITH EVENT-BASED TEMPORAL DATA MODEL
Vinod Ingale, E. Saikiran
Proceedings on Engineering Sciences (2024) Vol. 6, Iss. 2, pp. 495-504
Open Access
News Recommendation Method Based on Candidate-Aware Long- and Short-Term Preference Modeling
Shuhao Jiang, Haoran Song, Yizi Lu, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 300-300
Open Access
Hybrid recommendation algorithm based on real-valued RBM and CNN
Jue Wu, Yang Lei, Fujun Yang, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 10, pp. 10673-10686
Open Access | Times Cited: 2
Graph neural network news recommendation based on weight learning and preference decomposition
Junwen Lu, Ruixin Su
Journal of Electronic Imaging (2023) Vol. 33, Iss. 01
Closed Access
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