OpenAlex Citation Counts

OpenAlex Citations Logo

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:

An attention mechanism and residual network based knowledge graph-enhanced recommender system
Weisheng Li, Hao Zhong, Junming Zhou, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112042-112042
Closed Access | Times Cited: 6

Showing 6 citing articles:

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

A self-supervised graph convolutional model for recommendation with exponential moving average
Rui Chen, Kangning Pang, Zonglin Wang, et al.
Neural Computing and Applications (2025)
Closed Access

An evolutionary prediction model for enterprise basic research based on knowledge graph
Diao Haican, Yanqun Zhang, Xu Chen
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

English text and video online resource recommendation based on attention mechanism and GNN
Zunlan Xiao, Zhimin Yang, Yin Li, et al.
Journal of Computational Methods in Sciences and Engineering (2025)
Closed Access

IF-NS: A New negative sampling framework for knowledge graph embedding using influence function
Ming Cai, Zhuolin Deng, Xiong Chen
Knowledge-Based Systems (2025), pp. 113258-113258
Closed Access

Interpretable Disease Prediction Based on Kolmogorov - Arnold Networks
Kunhua Zhong, Yuwen Chen, Wenqiang Yang, et al.
(2024), pp. 645-650
Closed Access

Page 1

Scroll to top