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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:

Learning protein subcellular localization multi-view patterns from heterogeneous data of imaging, sequence and networks
Ge Wang, Min-Qi Xue, Hong‐Bin Shen, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Closed Access | Times Cited: 11

Showing 11 citing articles:

Advances in spatial proteomics: Mapping proteome architecture from protein complexes to subcellular localizations
Lisa M. Breckels, Charlotte Hutchings, Kishor D. Ingole, et al.
Cell chemical biology (2024) Vol. 31, Iss. 9, pp. 1665-1687
Open Access | Times Cited: 2
Self-paced multi-view positive and unlabeled graph learning with auxiliary information
Bo Liu, Tiantian Peng, Yanshan Xiao, et al.
Information Sciences (2023) Vol. 642, pp. 119146-119146
Closed Access | Times Cited: 5
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
DeepSP: A Deep Learning Framework for Spatial Proteomics
Bing Wang, Xiangzheng Zhang, Xu Chen, et al.
Journal of Proteome Research (2023) Vol. 22, Iss. 7, pp. 2186-2198
Closed Access | Times Cited: 3
PScL-2LSAESM: bioimage-based prediction of protein subcellular localization by integrating heterogeneous features with the two-level SAE-SM and mean ensemble method
Matee Ullah, Fazal Hadi, Jiangning Song, et al.
Bioinformatics (2022) Vol. 39, Iss. 1
Open Access | Times Cited: 3
TransGCN: a semi-supervised graph convolution network–based framework to infer protein translocations in spatio-temporal proteomics
Bing Wang, Xiangzheng Zhang, Xudong Han, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access
Multi-modal contrastive learning of subcellular organization using DICE
Rami Nasser, Leah V. Schaffer, Trey Ideker, et al.
Bioinformatics (2024) Vol. 40, Iss. Supplement_2, pp. ii105-ii110
Open Access
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
Enhancing Protein Subcellular Localization Prediction Through Multi-Feature Fusion
Kai Zhao, Weiyang Liang, Xuehua Bi, et al.
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2023) Vol. 32, pp. 261-267
Closed Access
Automated identification of protein expression intensity and classification of protein cellular locations in mouse brain regions from immunofluorescence images
Lin-Xia Bao, Zhuo-Ming Luo, Xiliang Zhu, et al.
Medical & Biological Engineering & Computing (2023) Vol. 62, Iss. 4, pp. 1105-1119
Closed Access
Protein Subcellular Localization Prediction Based on Attention Mechanism and Multi-Channel Spatial Modeling for Imbalanced Data
Suwan Zhu, Zhihai Zhang, Fan Yang, et al.
(2023), pp. 73-76
Closed Access
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