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:

Patient-Oriented Herb Recommendation System Based on Multi-Graph Convolutional Network
Shengyuan Li, Wenjing Yue, Yuanyuan Jin
Symmetry (2022) Vol. 14, Iss. 4, pp. 638-638
Open Access | Times Cited: 6

Showing 6 citing articles:

LAMGCN:Traditional Chinese Medicine Herb Recommendation via LSTMs with Attention Mechanisms and Graph Convolutional Networks
Wenbo Zhang, Hongbo Dang, Zhenshan Bao, et al.
ACM Transactions on Asian and Low-Resource Language Information Processing (2025)
Open Access

PreGenerator: TCM Prescription Recommendation Model Based on Retrieval and Generation Method
Zijuan Zhao, Xueting Ren, Kai Song, et al.
IEEE Access (2023) Vol. 11, pp. 103679-103692
Open Access | Times Cited: 3

Interest-Aware Message-Passing Layer-Refined Graph Convolutional Network for Recommendation
Xingyao Yang, Jinchen Wu, Jiong Yu
Symmetry (2023) Vol. 15, Iss. 5, pp. 1013-1013
Open Access | Times Cited: 2

Sentiment-aware drug recommendations with a focus on symptom-condition mapping
E. Anbazhagan, E. Sophiya, R. Prasanna Kumar
International Journal of Information Technology (2024) Vol. 16, Iss. 8, pp. 5195-5212
Closed Access

HGER: a heterogeneous information-based recommendation with graph enhanced representation for TV program
Fulian Yin, Tongtong Xing, Zebin Yao, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 19391-19414
Closed Access

Design and Improvement of Recommendation System Based on Spark Framework
Haoyi Wu
(2023) Vol. 022, pp. 648-653
Closed Access

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