Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Identify ncRNA subcellular localization via graph regularized k-local hyperplane distance nearest neighbor model on multi-kernel learning
Haohao Zhou, Hao Wang, Jijun Tang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 6, pp. 3517-3529
Closed Access | Times Cited: 20

Showing 20 citing articles:

Identification of drug–target interactions via multiple kernel-based triple collaborative matrix factorization
Yijie Ding, Jijun Tang, Fei Guo, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Closed Access | Times Cited: 64
Reachable Distance Function for KNN Classification
Shichao Zhang, Jiaye Li, Yangding Li
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-15
Open Access | Times Cited: 55
A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens
Zhao‐Yue Zhang, Zheng Zhang, Xiucai Ye, et al.
International Journal of Biological Macromolecules (2024) Vol. 265, pp. 130659-130659
Open Access | Times Cited: 12
Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types
Yuqing Qian, Yijie Ding, Quan Zou, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 1234-1245
Closed Access | Times Cited: 28
Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization
Yijie Ding, Prayag Tiwari, Fei Guo, et al.
Neural Networks (2022) Vol. 156, pp. 170-178
Open Access | Times Cited: 26
MulStack: An ensemble learning prediction model of multilabel mRNA subcellular localization
Ziqi Liu, Tao Bai, Bin Liu, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108289-108289
Closed Access | Times Cited: 6
Loc4Lnc: Accurate prediction of long noncoding RNA subcellular localization via enhanced RNA sequence representation
Yujia Cheng, Xiaoyong Pan, Yang Yang
Quantitative Biology (2025) Vol. 13, Iss. 3
Open Access
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
ncRNALocate-EL: a multi-label ncRNA subcellular locality prediction model based on ensemble learning
Tao Bai, Bin Liu
Briefings in Functional Genomics (2023) Vol. 22, Iss. 5, pp. 442-452
Closed Access | Times Cited: 6
iTTCA-MVL: A multi-view learning model based on physicochemical information and sequence statistical information for tumor T cell antigens identification
Shulin Zhao, Shibo Huang, Mengting Niu, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 107941-107941
Closed Access | Times Cited: 2
MSlocPRED: deep transfer learning-based identification of multi-label mRNA subcellular localization
Yuhua Zuo, Bangyi Zhang, Wenying He, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 2
Multi-view local hyperplane nearest neighbor model based on independence criterion for identifying vesicular transport proteins
Rui Fan, Yijie Ding, Quan Zou, et al.
International Journal of Biological Macromolecules (2023) Vol. 247, pp. 125774-125774
Closed Access | Times Cited: 5
GP-HTNLoc: A graph prototype head-tail network-based model for multi-label subcellular localization prediction of ncRNAs
Shuangkai Han, Lin Liu
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 2034-2048
Open Access | Times Cited: 1
IIFS2.0: An Improved Incremental Feature Selection Method for Protein Sequence Processing Based on a Caching Strategy
Chaolu Meng, Yue Pei, Yongbo Bu, et al.
Journal of Molecular Biology (2024), pp. 168741-168741
Open Access | Times Cited: 1
A Method of Optimizing Weight Allocation in Data Integration Based on Q-Learning for Drug-Target Interaction Prediction
Jiacheng Sun, You Lu, Linqian Cui, et al.
Frontiers in Cell and Developmental Biology (2022) Vol. 10
Open Access | Times Cited: 4
CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins
Ho-min Park, Jongbum Won, Yunseol Park, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 1
IIFS2.0: An Improved Incremental Feature Selection Method for Protein Sequence Processing Based on a Caching Strategy
Chaolu Meng, Yue Pei, Yongbo Bu, et al.
Authorea (Authorea) (2024)
Open Access
Iifs2.0: An Improved Incremental Feature Selection Method for Protein Sequence Processing Based on a Caching Strategy
Chaolu Meng, Yue Pei, Yongbo Bu, et al.
(2024)
Open Access
iGATTLDA: Integrative graph attention and transformer‐based model for predicting lncRNA‐Disease associations
Biffon Manyura Momanyi, Sebu Aboma Temesgen, Tianyu Wang, et al.
IET Systems Biology (2024)
Open Access
Identification of co‐localised transcription factors based on paired motifs analysis
Li Liu, Han Lu, Kaiyuan Han, et al.
IET Systems Biology (2024)
Open Access
Page 1

Scroll to top