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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:

Predicting LncRNA Subcellular Localization Using Unbalanced Pseudo-k Nucleotide Compositions
Xiaofei Yang, Yuan-Ke Zhou, Lin Zhang, et al.
Current Bioinformatics (2019) Vol. 15, Iss. 6, pp. 554-562
Closed Access | Times Cited: 23

Showing 23 citing articles:

GM-lncLoc: LncRNAs subcellular localization prediction based on graph neural network with meta-learning
Junzhe Cai, Ting Wang, Xi Deng, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 23
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: 11
iTTCA-RF: a random forest predictor for tumor T cell antigens
Shihu Jiao, Quan Zou, Huannan Guo, et al.
Journal of Translational Medicine (2021) Vol. 19, Iss. 1
Open Access | Times Cited: 39
dPromoter-XGBoost: Detecting promoters and strength by combining multiple descriptors and feature selection using XGBoost
Hongfei Li, Lei Shi, Wentao Gao, et al.
Methods (2022) Vol. 204, pp. 215-222
Open Access | Times Cited: 23
MVSLLnc: LncRNA subcellular localization prediction based on multi-source features and two-stage voting strategy
Sheng Wang, Zu‐Guo Yu, Guo-Sheng Han
Methods (2025)
Closed Access
EL-RMLocNet: An explainable LSTM network for RNA-associated multi-compartment localization prediction
Muhammad Nabeel Asim, Muhammad Ali Ibrahim, Muhammad Imran Malik, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 3986-4002
Open Access | Times Cited: 16
IBPred: A sequence-based predictor for identifying ion binding protein in phage
Shi-Shi Yuan, Dong Gao, Xue-Qin Xie, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 4942-4951
Open Access | Times Cited: 14
Identify essential genes based on clustering based synthetic minority oversampling technique
Hua Shi, Chenjin Wu, Tao Bai, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106523-106523
Closed Access | Times Cited: 7
KD-KLNMF: Identification of lncRNAs subcellular localization with multiple features and nonnegative matrix factorization
Shengli Zhang, Huijuan Qiao
Analytical Biochemistry (2020) Vol. 610, pp. 113995-113995
Closed Access | Times Cited: 19
PA-PseU: An incremental passive-aggressive based method for identifying RNA pseudouridine sites via Chou’s 5-steps rule
Jiesheng Wang, Shengli Zhang
Chemometrics and Intelligent Laboratory Systems (2021) Vol. 210, pp. 104250-104250
Closed Access | Times Cited: 15
A systematic review of computational methods for predicting long noncoding RNAs
Xinran Xu, Shuai Liu, Zhihao Yang, et al.
Briefings in Functional Genomics (2021) Vol. 20, Iss. 3, pp. 162-173
Closed Access | Times Cited: 15
Compilation of resources on subcellular localization of lncRNA
Shubham Choudhury, Anand Singh Rathore, Gajendra P. S. Raghava
Frontiers in RNA Research (2024) Vol. 2
Closed Access | Times Cited: 1
Identification of miRNA Signature Associated With Erectile Dysfunction in Type 2 Diabetes Mellitus by Support Vector Machine-Recursive Feature Elimination
Haibo Xu, Baoyin Zhao, Wei Zhong, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 9
Gm-PLoc: A Subcellular Localization Model of Multi-Label Protein Based on GAN and DeepFM
Liwen Wu, Song Gao, Shaowen Yao, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 5
Development and Application of Artificial Intelligence Methods in Biological and Medical Data
Hao Lin
Current Bioinformatics (2020) Vol. 15, Iss. 6, pp. 515-516
Closed Access | Times Cited: 6
GBDTLRL2D Predicts LncRNA–Disease Associations Using MetaGraph2Vec and K-Means Based on Heterogeneous Network
Tao Duan, Zhufang Kuang, Jiaqi Wang, et al.
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 6
GATLncLoc+C&S: Prediction of LncRNA subcellular localization based on corrective graph attention network
Xi Deng, Lin Tang, Lin Liu
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Identification of diagnostic markers and molecular clusters of cuproptosis-related genes in alcohol-related liver disease based on machine learning and experimental validation
Jiangfa Li, Yong Wang, Zhan Wu, et al.
Heliyon (2024) Vol. 10, Iss. 18, pp. e37612-e37612
Open Access
Identification of diagnostic markers pyrodeath-related genes in non-alcoholic fatty liver disease based on machine learning and experiment validation
Liping Lei, Jixue Li, Zirui Liu, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
A SNARE Protein Identification Method Based on iLearnPlus to Efficiently Solve the Data Imbalance Problem
Dong Ma, Zhihua Chen, Zhanpeng He, et al.
Frontiers in Genetics (2022) Vol. 12
Open Access | Times Cited: 2
Recognizing Pattern and Rule of Mutation Signatures Corresponding to Cancer Types
Lei Chen, Xianchao Zhou, Tao Zeng, et al.
Frontiers in Cell and Developmental Biology (2021) Vol. 9
Open Access | Times Cited: 2
Pseudo-188D: Phage Protein Prediction Based on a Model of Pseudo-188D
Xiaomei Gu, Lina Guo, Bo Liao, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 1
Prediction model for IcRNA aubcellular localization using machine learning
Zareen Kalim, Amna Arshad
2021 International Conference on Innovative Computing (ICIC) (2021), pp. 1-10
Closed Access | Times Cited: 1
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