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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:

Critical evaluation of web-based prediction tools for human protein subcellular localization
Yinan Shen, Yijie Ding, Jijun Tang, et al.
Briefings in Bioinformatics (2019) Vol. 21, Iss. 5, pp. 1628-1640
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Anticancer peptides prediction with deep representation learning features
Zhibin Lv, Feifei Cui, Quan Zou, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 113
sgRNACNN: identifying sgRNA on-target activity in four crops using ensembles of convolutional neural networks
Mengting Niu, Yuan Lin, Quan Zou
Plant Molecular Biology (2021) Vol. 105, Iss. 4-5, pp. 483-495
Closed Access | Times Cited: 104
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding
Min Zeng, Yifan Wu, Chengqian Lu, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 63
Protein subcellular localization prediction tools
Maryam Gillani, Gianluca Pollastri
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1796-1807
Open Access | Times Cited: 12
Artificial Intelligence with Great Potential in Medical Informatics: A Brief Review
Hao Lin
Deleted Journal (2024) Vol. 1, Iss. 1, pp. 2-9
Open Access | Times Cited: 9
ML-FGAT: Identification of multi-label protein subcellular localization by interpretable graph attention networks and feature-generative adversarial networks
Congjing Wang, Yifei Wang, Pengju Ding, et al.
Computers in Biology and Medicine (2024) Vol. 170, pp. 107944-107944
Closed Access | Times Cited: 8
Prediction of antioxidant proteins using hybrid feature representation method and random forest
Chunyan Ao, Wenyang Zhou, Lin Gao, et al.
Genomics (2020) Vol. 112, Iss. 6, pp. 4666-4674
Closed Access | Times Cited: 63
Sequence representation approaches for sequence-based protein prediction tasks that use deep learning
Feifei Cui, Zilong Zhang, Quan Zou
Briefings in Functional Genomics (2020) Vol. 20, Iss. 1, pp. 61-73
Closed Access | Times Cited: 61
Identification of sub-Golgi protein localization by use of deep representation learning features
Zhibin Lv, Pingping Wang, Quan Zou, et al.
Bioinformatics (2020) Vol. 36, Iss. 24, pp. 5600-5609
Open Access | Times Cited: 55
MK-FSVM-SVDD: A Multiple Kernel-based Fuzzy SVM Model for Predicting DNA-binding Proteins via Support Vector Data Description
Yi Zou, Hongjie Wu, Xiaoyi Guo, et al.
Current Bioinformatics (2020) Vol. 16, Iss. 2, pp. 274-283
Closed Access | Times Cited: 54
Predicting enhancer-promoter interactions by deep learning and matching heuristic
Xiaoping Min, Congmin Ye, Xiangrong Liu, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Closed Access | Times Cited: 50
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: 41
Discrimination of Thermophilic Proteins and Non-thermophilic Proteins Using Feature Dimension Reduction
Zi-Fan Guo, Pingping Wang, Zhendong Liu, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 47
A comprehensive review of the imbalance classification of protein post-translational modifications
Lijun Dou, Fenglong Yang, Lei Xu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 36
Identify DNA-Binding Proteins Through the Extreme Gradient Boosting Algorithm
Ziye Zhao, Wen Yang, Yixiao Zhai, et al.
Frontiers in Genetics (2022) Vol. 12
Open Access | Times Cited: 25
LightGBM-LncLoc: A LightGBM-Based Computational Predictor for Recognizing Long Non-Coding RNA Subcellular Localization
Jianyi Lyu, Peijie Zheng, Yue Qi, et al.
Mathematics (2023) Vol. 11, Iss. 3, pp. 602-602
Open Access | Times Cited: 15
Computational methods for protein localization prediction
Yuexu Jiang, Duolin Wang, Weiwei Wang, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 5834-5844
Open Access | Times Cited: 28
Accurate prediction of multi-label protein subcellular localization through multi-view feature learning with RBRL classifier
Qi Zhang, Yandan Zhang, Shan Li, et al.
Briefings in Bioinformatics (2021)
Closed Access | Times Cited: 27
Molecular dynamics simulation based prediction of T-cell epitopes for the production of effector molecules for liver cancer immunotherapy
Sidra Zafar, Yuhe Bai, Syed Aun Muhammad, et al.
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0309049-e0309049
Open Access
SubLocEP: a novel ensemble predictor of subcellular localization of eukaryotic mRNA based on machine learning
Jing Li, Lichao Zhang, He Shida, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 5
Closed Access | Times Cited: 30
A Novel Triple Matrix Factorization Method for Detecting Drug-Side Effect Association Based on Kernel Target Alignment
Xiaoyi Guo, Wei Zhou, Yan Yu, et al.
BioMed Research International (2020) Vol. 2020, pp. 1-11
Open Access | Times Cited: 28
Tools for the Recognition of Sorting Signals and the Prediction of Subcellular Localization of Proteins From Their Amino Acid Sequences
Kenichiro Imai, Kenta Nakai
Frontiers in Genetics (2020) Vol. 11
Open Access | Times Cited: 27
Identification of human microRNA-disease association via hypergraph embedded bipartite local model
Yijie Ding, Limin Jiang, Jijun Tang, et al.
Computational Biology and Chemistry (2020) Vol. 89, pp. 107369-107369
Closed Access | Times Cited: 25
PredAmyl-MLP: Prediction of Amyloid Proteins Using Multilayer Perceptron
Yanjuan Li, Zitong Zhang, Zhixia Teng, et al.
Computational and Mathematical Methods in Medicine (2020) Vol. 2020, pp. 1-12
Open Access | Times Cited: 24
A review from biological mapping to computation-based subcellular localization
Jing Li, Quan Zou, Lei Yuan
Molecular Therapy — Nucleic Acids (2023) Vol. 32, pp. 507-521
Open Access | Times Cited: 8
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