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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:

Capsule-LPI: a LncRNA–protein interaction predicting tool based on a capsule network
Ying Li, Hang Sun, Shiyao Feng, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Long non-coding RNA and RNA-binding protein interactions in cancer: Experimental and machine learning approaches
Hibah Shaath, Radhakrishnan Vishnubalaji, Ramesh Elango, et al.
Seminars in Cancer Biology (2022) Vol. 86, pp. 325-345
Open Access | Times Cited: 95
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
Cross-domain contrastive graph neural network for lncRNA–protein interaction prediction
Hui Li, Bin Wu, Miaomiao Sun, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111901-111901
Closed Access | Times Cited: 6
Finding lncRNA-Protein Interactions Based on Deep Learning With Dual-Net Neural Architecture
Lihong Peng, Chang Wang, Xiongfei Tian, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 6, pp. 3456-3468
Closed Access | Times Cited: 41
LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncRNA–protein interaction identification
Liqian Zhou, Zhao Wang, Xiongfei Tian, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 40
RPI-CapsuleGAN: Predicting RNA-protein interactions through an interpretable generative adversarial capsule network
Yifei Wang, Xue Wang, Cheng Chen, et al.
Pattern Recognition (2023) Vol. 141, pp. 109626-109626
Closed Access | Times Cited: 13
Multimodality information fusion for automated machine translation
Lin Li, Turghun Tayir, Yifeng Han, et al.
Information Fusion (2022) Vol. 91, pp. 352-363
Closed Access | Times Cited: 20
Deep Learning Approaches for lncRNA-Mediated Mechanisms: A Comprehensive Review of Recent Developments
Yoojoong Kim, Minhyeok Lee
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10299-10299
Open Access | Times Cited: 12
Attention Holistic Processing Multi-Channel Graph Transformer with Graph Residual Connections for Predicting lncRNA–Protein Interactions
Qi Wu, Yinbo Liu, S Chen, et al.
Knowledge-Based Systems (2025) Vol. 310, pp. 112957-112957
Closed Access
Discovery and Validation of Clinically Relevant Long Non-Coding RNAs in Colorectal Cancer
Madison Snyder, Susana Iraola‐Guzmán, Ester Saus, et al.
Cancers (2022) Vol. 14, Iss. 16, pp. 3866-3866
Open Access | Times Cited: 17
Multifaced roles of the long non-coding RNA DRAIC in cancer progression
Kouhei Sakurai, Hiroyasu Ito
Life Sciences (2024) Vol. 343, pp. 122544-122544
Closed Access | Times Cited: 3
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
Negative sampling strategies impact the prediction of scale-free biomolecular network interactions with machine learning
Pengpai Li, Bowen Shao, Guoqing Zhao, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification
Liqian Zhou, Qi Duan, Xiongfei Tian, et al.
BMC Bioinformatics (2021) Vol. 22, Iss. 1
Open Access | Times Cited: 19
RPI-EDLCN: An Ensemble Deep Learning Framework Based on Capsule Network for ncRNA–Protein Interaction Prediction
Xiaoyi Li, Wenyan Qu, Jing Yan, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2221-2235
Closed Access | Times Cited: 7
Opportunities and Challenges of Predictive Approaches for the Non-coding RNA in Plants
Dong Xu, Wenya Yuan, Chunjie Fan, et al.
Frontiers in Plant Science (2022) Vol. 13
Open Access | Times Cited: 12
Predicting lncRNA–protein interactions through deep learning framework employing multiple features and random forest algorithm
Ying Liang, XingRui Yin, YangSen Zhang, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
Measuring functional similarity of lncRNAs based on variable K-mer profiles of nucleotide sequences
Zhixia Teng, Linyue Shi, Haihao Yu, et al.
Methods (2023) Vol. 212, pp. 21-30
Closed Access | Times Cited: 5
Long non-coding RNAs and their potential impact on diagnosis, prognosis, and therapy in prostate cancer: racial, ethnic, and geographical considerations
Rebecca Morgan, Willian A. da Silveira, Ryan C. Kelly, et al.
Expert Review of Molecular Diagnostics (2021) Vol. 21, Iss. 12, pp. 1257-1271
Open Access | Times Cited: 12
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
Computational Methods for Functional Characterization of lncRNAS in Human Diseases: A Focus on Co-Expression Networks
Prabhash Kumar Jha, Miguel Cantadori Barbeiro, Adrien Lupieri, et al.
Current Bioinformatics (2023) Vol. 19, Iss. 1, pp. 21-38
Closed Access | Times Cited: 4
An exhaustive review of computational prediction techniques for PPI sites, protein locations, and protein functions
P Bhat, Nagamma Patil
Network Modeling Analysis in Health Informatics and Bioinformatics (2023) Vol. 12, Iss. 1
Closed Access | Times Cited: 4
ETENLNC: An end to end lncRNA identification and analysis framework to facilitate construction of known and novel lncRNA regulatory networks
Prangan Nath, Kaveri Bhuyan, Dhruba K. Bhattacharyya, et al.
Computational Biology and Chemistry (2024) Vol. 112, pp. 108140-108140
Closed Access | Times Cited: 1
Artificial intelligence methods enhance the discovery of RNA interactions
Gerardo Pepe, R Appierdo, Chiara Carrino, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 7
计算生物学在RNA研究中的应用
Zhirong Chen, Junhong Huang, Bin Li, et al.
Scientia Sinica Vitae (2024)
Open Access | Times Cited: 1
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