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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:

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

Showing 1-25 of 41 citing articles:

CFSSynergy: Combining Feature-Based and Similarity-Based Methods for Drug Synergy Prediction
Fatemeh Rafiei, Hojjat Zeraati, Karim Abbasi, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 7, pp. 2577-2585
Closed Access | Times Cited: 28
GKLOMLI: a link prediction model for inferring miRNA–lncRNA interactions by using Gaussian kernel-based method on network profile and linear optimization algorithm
Leon Wong, Lei Wang, Zhu‐Hong You, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 37
Deciphering ligand–receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data
Lihong Peng, Jingwei Tan, Wei Xiong, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107137-107137
Closed Access | Times Cited: 35
CellEnBoost: A Boosting-Based Ligand-Receptor Interaction Identification Model for Cell-to-Cell Communication Inference
Lihong Peng, Ruya Yuan, Chendi Han, et al.
IEEE Transactions on NanoBioscience (2023) Vol. 22, Iss. 4, pp. 705-715
Closed Access | Times Cited: 29
CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis
Lihong Peng, Wei Xiong, Chendi Han, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 1, pp. 580-591
Closed Access | Times Cited: 25
LDA-VGHB: identifying potential lncRNA–disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton boosting machine
Lihong Peng, Liangliang Huang, Qiongli Su, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 25
PMF-CPI: assessing drug selectivity with a pretrained multi-functional model for compound–protein interactions
Nan Song, Ruihan Dong, Yuqian Pu, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 18
GEnDDn: An lncRNA–Disease Association Identification Framework Based on Dual-Net Neural Architecture and Deep Neural Network
Lihong Peng, Mengnan Ren, Liangliang Huang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 2, pp. 418-438
Closed Access | Times Cited: 7
Predicting circRNA-drug sensitivity associations via graph attention auto-encoder
Lei Deng, Zixuan Liu, Yurong Qian, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 25
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
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
LGBMDF: A cascade forest framework with LightGBM for predicting drug-target interactions
Yu Peng, Shouwei Zhao, Zhiliang Zeng, et al.
Frontiers in Microbiology (2023) Vol. 13
Open Access | Times Cited: 9
Predicting potential microbe-disease associations with graph attention autoencoder, positive-unlabeled learning, and deep neural network
Lihong Peng, Liangliang Huang, Geng Tian, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 8
Identifying potential drug-target interactions based on ensemble deep learning
Liqian Zhou, Yuzhuang Wang, Lihong Peng, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 7
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
DFpin: Deep learning–based protein-binding site prediction with feature-based non-redundancy from RNA level
Xiujuan Zhao, Yanping Zhang, Xiuquan Du
Computers in Biology and Medicine (2022) Vol. 142, pp. 105216-105216
Closed Access | Times Cited: 12
SEBGLMA: Semantic Embedded Bipartite Graph Network for Predicting lncRNA-miRNA Associations
Zhengyang Zhao, Jie Lin, Zhen Wang, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-15
Open Access | Times Cited: 6
Prediction of disease-related miRNAs by voting with multiple classifiers
Changlong Gu, M Kellis
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
SAELGMDA: Identifying human microbe–disease associations based on sparse autoencoder and LightGBM
Feixiang Wang, Huandong Yang, Yan Wu, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 6
Using Graph Attention Network and Graph Convolutional Network to Explore Human CircRNA–Disease Associations Based on Multi-Source Data
Guanghui Li, Diancheng Wang, Yuejin Zhang, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 8
Long-distance dependency combined multi-hop graph neural networks for protein–protein interactions prediction
Wen Zhong, Changxiang He, Xiao Chen, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 8
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
LMGATCDA: Graph Neural Network With Labeling Trick for Predicting circRNA-Disease Associations
Wenjing Wang, Pengyong Han, Zhengwei Li, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 2, pp. 289-300
Closed Access | Times Cited: 1
A comprehensive survey on deep learning-based identification and predicting the interaction mechanism of long non-coding RNAs
Biyu Diao, Jin Luo, Yu Guo
Briefings in Functional Genomics (2024) Vol. 23, Iss. 4, pp. 314-324
Closed Access | Times Cited: 1
Multi-feature Fusion Method Based on Linear Neighborhood Propagation Predict Plant LncRNA–Protein Interactions
Lijuan Jia, Yushi Luan
Interdisciplinary Sciences Computational Life Sciences (2022) Vol. 14, Iss. 2, pp. 545-554
Closed Access | Times Cited: 7
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