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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:

iPiDA-LTR: Identifying piwi-interacting RNA-disease associations based on Learning to Rank
Wenxiang Zhang, Jialu Hou, Bin Liu
PLoS Computational Biology (2022) Vol. 18, Iss. 8, pp. e1010404-e1010404
Open Access | Times Cited: 15

Showing 15 citing articles:

iPiDA-LGE: a local and global graph ensemble learning framework for identifying piRNA-disease associations
Hang Wei, Jialu Hou, Yumeng Liu, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access | Times Cited: 1
Predicting RNA structures and functions by artificial intelligence
Jun Zhang, Mei Lang, Yaoqi Zhou, et al.
Trends in Genetics (2023) Vol. 40, Iss. 1, pp. 94-107
Closed Access | Times Cited: 19
Databases and computational methods for the identification of piRNA-related molecules: A survey
Chang Guo, Xiaoli Wang, Han Ren
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 813-833
Open Access | Times Cited: 5
iPiDA-SWGCN: Identification of piRNA-disease associations based on Supplementarily Weighted Graph Convolutional Network
Jialu Hou, Hang Wei, Bin Liu
PLoS Computational Biology (2023) Vol. 19, Iss. 6, pp. e1011242-e1011242
Open Access | Times Cited: 11
Identify essential genes based on clustering based synthetic minority oversampling technique
Hua Shi, Chenjin Wu, Tao Bai, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106523-106523
Closed Access | Times Cited: 9
DAmiRLocGNet: miRNA subcellular localization prediction by combining miRNA–disease associations and graph convolutional networks
Tao Bai, Ke Yan, Bin Liu
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 9
Unraveling Disease-Associated PIWI-Interacting RNAs with a Contrastive Learning Methods
Xiao-Wen Hu, Hao Sun, L.Y. Shan, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
ETGPDA: identification of piRNA-disease associations based on embedding transformation graph convolutional network
Xianghan Meng, Junliang Shang, Daohui Ge, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 8
MRDPDA: A multi‐Laplacian regularized deepFM model for predicting piRNA‐disease associations
Yajun Liu, Fan Zhang, Yulian Ding, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 17
Open Access | Times Cited: 2
piRNA-disease association prediction based on multi-channel graph variational autoencoder
Wei Sun, Chang Guo, Jing Wan, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2216-e2216
Open Access | Times Cited: 1
CLPiDA: A Contrastive Learning Approach for Predicting Potential PiRNA-Disease Associations
Xiaowen Hu, Yuanpeng Zhang, Jiaxuan Zhang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 33, pp. 159-164
Closed Access | Times Cited: 2
sgRNA-2wPSM: Identify sgRNAs on-target activity by combining two-window-based position specific mismatch and synthetic minority oversampling technique
Lichao Zhang, Tao Bai, Hao Wu
Computers in Biology and Medicine (2022) Vol. 155, pp. 106489-106489
Closed Access | Times Cited: 3
An Intelligent Model for Predictions of PIWI-Interacting RNAs and Their Functions
Anam Umera, Sajid Mahmood, Usman Inayat
VFAST Transactions on Software Engineering (2024) Vol. 12, Iss. 1, pp. 25-35
Open Access
Identification of Secretory Proteins in Sus scrofa Using Machine Learning Method
Zhao‐Yue Zhang, Xiaowei Liu, Cai-Yi Ma, et al.
Current Bioinformatics (2023) Vol. 18, Iss. 10, pp. 783-791
Closed Access
idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning framework
Yahan Li, Mingrui Zhang, Junliang Shang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 22, pp. 2769-2776
Closed Access
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