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:

SGANRDA: semi-supervised generative adversarial networks for predicting circRNA–disease associations
Lei Wang, Xin Yan, Zhu‐Hong You, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 42

Showing 26-50 of 42 citing articles:

MNMDCDA: prediction of circRNA–disease associations by learning mixed neighborhood information from multiple distances
Yang Li, Xuegang Hu, Lei Wang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 9

Generative adversarial networks applied to gene expression analysis: An interdisciplinary perspective
Xusheng Ai, Melissa C. Smith, F. Alex Feltus
Computational and Systems Oncology (2023) Vol. 3, Iss. 3
Open Access | Times Cited: 5

RoFDT: Identification of Drug–Target Interactions from Protein Sequence and Drug Molecular Structure Using Rotation Forest
Ying Wang, Lei Wang, Leon Wong, et al.
Biology (2022) Vol. 11, Iss. 5, pp. 741-741
Open Access | Times Cited: 8

TeM-DTBA: time-efficient drug target binding affinity prediction using multiple modalities with Lasso feature selection
Tanya Liyaqat, Tanvir Ahmad, Chandni Saxena
Journal of Computer-Aided Molecular Design (2023) Vol. 37, Iss. 12, pp. 573-584
Closed Access | Times Cited: 4

CircRNA-based therapeutics: Current opinions and clinical potential
Hanyuan Liu, Xuelin Yao, Ying Zhou, et al.
The Innovation Medicine (2024) Vol. 2, Iss. 3, pp. 100081-100081
Closed Access | Times Cited: 1

Computational approaches for circRNA-disease association prediction: a review
Mengting Niu, Yaojia Chen, Chunyu Wang, et al.
Frontiers of Computer Science (2024) Vol. 19, Iss. 4
Open Access | Times Cited: 1

CircPCBL: Identification of Plant CircRNAs with a CNN-BiGRU-GLT Model
Pengpeng Wu, Zhenjun Nie, Zhiqiang Huang, et al.
Plants (2023) Vol. 12, Iss. 8, pp. 1652-1652
Open Access | Times Cited: 2

DETHACDA: A Dual-View Edge and Topology Hybrid Attention Model for CircRNA-Disease Associations Prediction
Wenjing Yin, Shudong Wang, Sibo Qiao, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 8, pp. 4421-4431
Closed Access | Times Cited: 2

Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network
Chengqian Lu, Lishen Zhang, Min Zeng, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 4

An Ensemble approach for Circular RNA-Disease Association prediction using Variational Autoencoder and Genetic Algorithm
C. M. Salooja, Arjun Sanker, K. Deepthi, et al.
Journal of Bioinformatics and Computational Biology (2024) Vol. 22, Iss. 04
Closed Access

Prioritizing potential circRNA biomarkers for bladder cancer and bladder urothelial cancer based on an ensemble model
Qiongli Su, Qiuhong Tan, Xin Liu, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 2

Editorial: Machine learning-based methods for RNA data analysis—Volume II
Lihong Peng, Jialiang Yang, Minxian Wang, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 1

Prediction algorithm for screening circRNA biomarker based on graph neural network
Xuegang Hu, Lei Wang, Zhu‐Hong You, et al.
Scientia Sinica Informationis (2023) Vol. 53, Iss. 11, pp. 2214-2214
Closed Access

EnILs: A General Ensemble Computational Approach for Predicting Inducing Peptides of Multiple Interleukins
Rui Su, Jujuan Zhuang, Shuhan Liu, et al.
Journal of Computational Biology (2023) Vol. 30, Iss. 12, pp. 1289-1304
Closed Access

GCNMFCDA: A Method Based on Graph Convolutional Network and Matrix Factorization for Predicting circRNA-Disease Associations
Dian-Xiao Wang, Cunmei Ji, Yutian Wang, et al.
Lecture notes in computer science (2022), pp. 166-180
Closed Access

Accurately Predicting circRNA-disease Associations Using Variational Graph Auto-encoders and LightGBM
Siyuan Shen, Yurong Qian, Jingjing Zheng, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2021), pp. 522-527
Closed Access

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