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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:

Predicting lncRNA-protein interactions based on graph autoencoders and collaborative training
Chen Jin, Zhuangwei Shi, Han Zhang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021), pp. 38-43
Closed Access | Times Cited: 12

Showing 12 citing articles:

Predicting potential interactions between lncRNAs and proteins via combined graph auto-encoder methods
Jingxuan Zhao, Jianqiang Sun, Stella C. Shuai, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 44
Predicting miRNA-Disease Association Based on Neural Inductive Matrix Completion with Graph Autoencoders and Self-Attention Mechanism
Chen Jin, Zhuangwei Shi, Ken Lin, et al.
Biomolecules (2022) Vol. 12, Iss. 1, pp. 64-64
Open Access | Times Cited: 39
Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models
Tianwei Yue, Yuanxin Wang, Longxiang Zhang, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 21, pp. 15858-15858
Open Access | Times Cited: 22
Predicting lncRNA-protein interactions with bipartite graph embedding and deep graph neural networks
Yuzhou Ma, Han Zhang, Chen Jin, et al.
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 14
Inter-view contrastive learning and miRNA fusion for lncRNA-protein interaction prediction in heterogeneous graphs
Yijun Mao, Jiale Wu, Jian Weng, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Prediction of LncRNA-Protein Interactions Based on Kernel Combinations and Graph Convolutional Networks
Cong Shen, Dongdong Mao, Jijun Tang, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 4, pp. 1937-1948
Closed Access | Times Cited: 7
Predicting microbe–disease association based on graph autoencoder and inductive matrix completion with multi-similarities fusion
Kai Shi, Kai Huang, Li Lin, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 2
XGBoost and CNN-LSTM hybrid model with Attention-based stock prediction
Renzhe Zhu, Yingke Yang, Junqi Chen
(2023), pp. 359-365
Closed Access | Times Cited: 5
TLCrys: Transfer Learning Based Method for Protein Crystallization Prediction
Chen Jin, Zhuangwei Shi, Chuanze Kang, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 2, pp. 972-972
Open Access | Times Cited: 5
Stock Price Prediction Based on ARIMA-LSTM—A Case Study of Kweichow Moutai
赈洪 古
E-Commerce Letters (2024) Vol. 13, Iss. 04, pp. 5786-5796
Closed Access
Prediction of LncRNA-Protein Interactions Based on Multi-kernel Fusion and Graph Auto-Encoders
Dongdong Mao, Cong Shen, Ruilin Wu, et al.
Lecture notes in computer science (2023), pp. 405-415
Closed Access
Predicting Association between Long Chain Noncoding RNA and Protein Based on Matrix Completion Algorithm
靖轩 赵
Hans Journal of Computational Biology (2022) Vol. 12, Iss. 02, pp. 16-22
Closed Access
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