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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 1-25 of 26 citing articles:

A survey on imbalanced learning: latest research, applications and future directions
Wuxing Chen, Kaixiang Yang, Zhiwen Yu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 6
Open Access | Times Cited: 51
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
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning
Xin Zhang, Lesong Wei, Xiucai Ye, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 28
Development and application of a deep learning-based comprehensive early diagnostic model for chronic obstructive pulmonary disease
Zecheng Zhu, Shunjin Zhao, Jiahui Li, et al.
Respiratory Research (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 4
Proteomics and machine learning-based approach to decipher subcellular proteome of mouse heart
Haoyun Fang, Alin Rai, Seyed Sadegh Eslami, et al.
Molecular & Cellular Proteomics (2025), pp. 100952-100952
Open Access
Organellomics: AI-driven deep organellar phenotyping of human neurons
Lena Molitor, Sagy Krispin, Welmoed van Zuiden, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
A Review for Artificial-Intelligence-Based Protein Subcellular Localization
Hanyu Xiao, Yijin Zou, Jieqiong Wang, et al.
Biomolecules (2024) Vol. 14, Iss. 4, pp. 409-409
Open Access | Times Cited: 2
Vislocas: Vision transformers for identifying protein subcellular mis-localization signatures of different cancer subtypes from immunohistochemistry images
Jing-Wen Wen, Hanlin Zhang, Pu-Feng Du
Computers in Biology and Medicine (2024) Vol. 174, pp. 108392-108392
Closed Access | Times Cited: 2
Computational prediction of protein folding rate using structural parameters and network centrality measures
Saraswathy Nithiyanandam, Vinoth Kumar Sangaraju, Balachandran Manavalan, et al.
Computers in Biology and Medicine (2023) Vol. 155, pp. 106436-106436
Open Access | Times Cited: 6
Recent Advances in the Prediction of Subcellular Localization of Proteins and Related Topics
Kenta Nakai, Leyi Wei
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 10
An exhaustive review of computational prediction techniques for PPI sites, protein locations, and protein functions
P Bhat, Nagamma Patil
Network Modeling Analysis in Health Informatics and Bioinformatics (2023) Vol. 12, Iss. 1
Closed Access | Times Cited: 4
Innovative Financial Management in Higher Education: A Multi-Scale Deep Learning Approach for Risk Reduction and Quality Enhancement
Hongbin Yue
Deleted Journal (2024) Vol. 20, Iss. 7s, pp. 114-120
Open Access | Times Cited: 1
RDDL: A systematic ensemble pipeline tool that streamlines balancing training schemes to reduce the effects of data imbalance in rare-disease-related deep-learning applications
Tzu-Hsien Yang, Zhan-Yi Liao, Yu-Huai Yu, et al.
Computational Biology and Chemistry (2023) Vol. 106, pp. 107929-107929
Closed Access | Times Cited: 3
GraphLoc: a graph neural network model for predicting protein subcellular localization from immunohistochemistry images
Jinxian Hu, Yang Yang, Yingying Xu, et al.
Bioinformatics (2022) Vol. 38, Iss. 21, pp. 4941-4948
Closed Access | Times Cited: 5
SPECHT: Self-tuning Plausibility based object detection Enables quantification of Conflict in Heterogeneous multi-scale microscopy
Ben Cardoen, Timothy Wong, Parsa Alan, et al.
PLoS ONE (2022) Vol. 17, Iss. 12, pp. e0276726-e0276726
Open Access | Times Cited: 5
Multiple Parallel Fusion Network for Predicting Protein Subcellular Localization from Stimulated Raman Scattering (SRS) Microscopy Images in Living Cells
Zhihao Wei, Wu Liu, Weiyong Yu, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 18, pp. 10827-10827
Open Access | Times Cited: 4
MMLoc: A Multi-instance Multi-label Learning Approach for Predicting Protein Subcellular Localization from Immunofluorescence Images
Zhihai Zhang, Boyang Wan, Suwan Zhu, et al.
(2024), pp. 447-450
Closed Access
Prediction of Protein Localization
Kenta Nakai, Kenichiro Imai, Leyi Wei
Elsevier eBooks (2024)
Closed Access
Multi-color space features and data regression neural network-based method for molten salt temperature detection in rare earth electrolytic processes
Zhen Zhang, Meijuan Xu, Feifei Liu, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 159, pp. 108069-108069
Closed Access
Impact of Alignments on the Accuracy of Protein Subcellular Localization Predictions
Maryam Gillani, Gianluca Pollastri
Proteins Structure Function and Bioinformatics (2024)
Open Access
Incorporating view location information for multi-view multi-label learning
Jiabao Wang, Yusheng Cheng
Applied Soft Computing (2024), pp. 112565-112565
Closed Access
Different Recognition of Protein Features Depending on Deep Learning Models: A Case Study of Aromatic Decarboxylase UbiD
Naoki Watanabe, Yuki Kuriya, Masahiro Murata, et al.
Biology (2023) Vol. 12, Iss. 6, pp. 795-795
Open Access | Times Cited: 1
Dual-Signal Feature Spaces Map Protein Subcellular Locations Based on Immunohistochemistry Image and Protein Sequence
Kai Zou, Simeng Wang, Ziqian Wang, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9014-9014
Open Access | Times Cited: 1
Incorporating View Location Information for Multi-View Multi-Label Learning
Jiabao Wang, Yusheng Cheng
(2023)
Closed Access
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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