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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.

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Showing 23 citing articles:

Deepstacked-AVPs: predicting antiviral peptides using tri-segment evolutionary profile and word embedding based multi-perspective features with deep stacking model
Shahid Akbar, Ali Raza, Quan Zou
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 56
Cell–cell communication inference and analysis in the tumour microenvironments from single-cell transcriptomics: data resources and computational strategies
Lihong Peng, Feixiang Wang, Zhao Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Closed Access | Times Cited: 68
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
NSRGRN: a network structure refinement method for gene regulatory network inference
Wei Liu, Yu Yang, Xu Lu, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 18
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
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
Prediction of gestational diabetes mellitus using hybrid sampling and slime mould bio inspired algorithm
Uma Rani, S. Vidhya, M. Kumaran, et al.
Multimedia Tools and Applications (2025)
Closed Access
sORFPred: A Method Based on Comprehensive Features and Ensemble Learning to Predict the sORFs in Plant LncRNAs
Ziwei Chen, Jun Meng, Siyuan Zhao, et al.
Interdisciplinary Sciences Computational Life Sciences (2023) Vol. 15, Iss. 2, pp. 189-201
Closed Access | Times Cited: 8
RLF-LPI: An ensemble learning framework using sequence information for predicting lncRNA-protein interaction based on AE-ResLSTM and fuzzy decision
Jinmiao Song, Shengwei Tian, Long Yu, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 5, pp. 4749-4764
Open Access | Times Cited: 11
Analysis of the value of enhanced CT combined with texture analysis in the differential diagnosis of pulmonary sclerosing pneumocytoma and atypical peripheral lung cancer: a feasibility study
Chenglong Luo, Yiman Song, Yiyang Liu, et al.
BMC Medical Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 8
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
Exploring potential circRNA biomarkers for cancers based on double-line heterogeneous graph representation learning
Yi Zhang, ZhenMei Wang, Hanyan Wei, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Identifying potential microRNA biomarkers for colon cancer and colorectal cancer through bound nuclear norm regularization
Shengyong Zhai, Xiaoling Li, Yan Wu, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 4
MP-VHPPI: Meta predictor for viral host protein-protein interaction prediction in multiple hosts and viruses
Muhammad Nabeel Asim, Ahtisham Fazeel, Muhammad Ali Ibrahim, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 4
Gene differential co-expression analysis of male infertility patients based on statistical and machine learning methods
Xuan Jia, Zhixiang Yin, Yu Peng
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 2
Finding Lung-Cancer-Related lncRNAs Based on Laplacian Regularized Least Squares With Unbalanced Bi-Random Walk
Zhifeng Guo, Hui Yan, Fanlong Kong, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 3
Framework to develop a data-driven resilient and sustainable health information system for health care applications
Ayogeboh Epizitone
(2024)
Open Access
Improving the Accuracy of Oncology Diagnosis: A Machine Learning-Based Approach to Cancer Prediction
Michael Cabanillas-Carbonell, Joselyn Zapata-Paulini
International Journal of Online and Biomedical Engineering (iJOE) (2024) Vol. 20, Iss. 11, pp. 102-122
Open Access
Predicting LncRNA-Protein Interactions Through Global and Local Features based on Cross Attention Mechanism
Shaoqi Shao, Jinling Liu, Jing Peng
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 18, pp. 1-8
Closed Access
Predicting lncRNA-protein interactions using a hybrid deep learning model with dinucleotide-codon fusion feature encoding
Li Tan, Mengshan Li, Fujun Yu, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access
An Ensemble Classifiers for Improved Prediction of Native–Non-Native Protein–Protein Interaction
Nor Kumalasari Caecar Pratiwi, Hilal Tayara, Kil To Chong
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 11, pp. 5957-5957
Open Access
Inferring Latent Disease-lncRNA Associations by Label-Propagation Algorithm and Random Projection on a Heterogeneous Network
Min Chen, Yingwei Deng, Ang Li, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 2
An Improved D2GAN‐based oversampling algorithm for imbalanced data classification
Xiaoqiang Zhao, Qinglei Yao
Statistical Analysis and Data Mining The ASA Data Science Journal (2023) Vol. 16, Iss. 6, pp. 569-582
Closed Access
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