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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:

Automated classification of protein subcellular localization in immunohistochemistry images to reveal biomarkers in colon cancer
Zhen‐Zhen Xue, Yanxia Wu, Qingzu Gao, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

Cancer Classification with a Cost-Sensitive Naive Bayes Stacking Ensemble
Yueling Xiong, Mingquan Ye, Changrong Wu
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-12
Open Access | Times Cited: 35
Multi-scale deep learning for the imbalanced multi-label protein subcellular localization prediction based on immunohistochemistry images
Fengsheng Wang, Leyi Wei
Bioinformatics (2022) Vol. 38, Iss. 9, pp. 2602-2611
Open Access | Times Cited: 26
RMD-Net: A Deep Learning Framework for Automated IHC Scoring of Lung Cancer IL-24
Zihao He, Dongyao Jia, Yinan Shi, et al.
Mathematics (2025) Vol. 13, Iss. 3, pp. 417-417
Open Access
Applications of Neural Networks in Biomedical Data Analysis
Romano Weiss, Sanaz Karimijafarbigloo, Dirk Roggenbuck, et al.
Biomedicines (2022) Vol. 10, Iss. 7, pp. 1469-1469
Open Access | Times Cited: 19
Deep Learning Approaches for Automatic Localization in Medical Images
Haya Alaskar, Arshad Hussain, Bandar Almaslukh, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 18
Spatial topology of organelle is a new breast cancer cell classifier
Ling Wang, Joshua Goldwag, Megan Bouyea, et al.
iScience (2023) Vol. 26, Iss. 7, pp. 107229-107229
Open Access | Times Cited: 7
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
Bird Eye View of Protein Subcellular Localization Prediction
Ravindra Kumar, Sandeep Kumar Dhanda
Life (2020) Vol. 10, Iss. 12, pp. 347-347
Open Access | Times Cited: 20
Cancer Diagnosis With the Aid of Artificial Intelligence Modeling Tools
Alex Ede Danku, Eva H. Dulf, Raul Petru Banut, et al.
IEEE Access (2022) Vol. 10, pp. 20816-20831
Open Access | Times Cited: 12
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
Statistical analysis supports pervasive RNA subcellular localization and alternative 3' UTR regulation
Rob Bierman, Jui M. Dave, Daniel M. Greif, et al.
eLife (2024) Vol. 12
Open Access | Times Cited: 1
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
Statistical analysis supports pervasive RNA subcellular localization and alternative 3’ UTR regulation
Rob Bierman, Jui M. Dave, Daniel M. Greif, et al.
(2023)
Open Access | Times Cited: 2
Automated classification of protein expression levels in immunohistochemistry images to improve the detection of cancer biomarkers
Zhen‐Zhen Xue, Cheng Li, Zhuo-Ming Luo, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open 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
Exploring subcellular location anomalies: a novel quantum bioimaging paradigm
Kailash Kumar, Syed Hauider Abbas, Manish K. Gupta, et al.
Optical and Quantum Electronics (2024) Vol. 56, Iss. 4
Closed Access
An effective study on the diagnosis of colon cancer with the developed local binary pattern method
Mehmet Gül
Research Square (Research Square) (2024)
Open Access
Prediction of Protein Localization
Kenta Nakai, Kenichiro Imai, Leyi Wei
Elsevier eBooks (2024)
Closed Access
The Application of Analytical Techniques to Alpha-Synuclein in Parkinson’s Disease
Olatayo Adedayo Olahanmi
American Journal of Analytical Chemistry (2024) Vol. 15, Iss. 09, pp. 269-285
Open Access
IDRnet: A Novel Pixel-enlightened Neural Network for Predicting Protein Subcellular Location Based on Interactive Pointwise Attention
Kai Zou, Ziqian Wang, Suwan Zhu, et al.
Current Bioinformatics (2023) Vol. 18, Iss. 10, pp. 805-816
Closed 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
The Development and Progress in Machine Learning for Protein Subcellular Localization Prediction
He Le, Xiyu Liu
The Open Bioinformatics Journal (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Statistical analysis supports pervasive RNA subcellular localization and alternative 3’ UTR regulation
Rob Bierman, Jui M. Dave, Daniel M. Greif, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1
Artificial intelligence in gastrointestinal diseases
Shihori Tanabe, Edward J. Perkins, Ryuichi Ono, et al.
Artificial Intelligence in Gastroenterology (2021) Vol. 2, Iss. 3, pp. 69-76
Open Access | Times Cited: 1
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