Open Access Helper

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:

Single-Cell Analysis Using Machine Learning Techniques and Its Application to Medical Research
Ken Asada, Ken Takasawa, Hidenori Machino, et al.
Biomedicines (2021) Vol. 9, Iss. 11, pp. 1513-1513
Open Access | Times Cited: 21

Showing 21 citing articles:

Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine
Ryuji Hamamoto, Ken Takasawa, Hidenori Machino, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 4
Open Access | Times Cited: 28
Introducing AI to the molecular tumor board: one direction toward the establishment of precision medicine using large-scale cancer clinical and biological information
Ryuji Hamamoto, Takafumi Koyama, Nobuji Kouno, et al.
Experimental Hematology and Oncology (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 28
Benchmarking Machine Learning Models for Cell Type Annotation in Single-Cell vs Single-Nucleus RNA-Seq Data
Giovane G. Tortelote
Research Square (Research Square) (2025)
Closed Access
Research progress of single-cell transcriptome sequencing in autoimmune diseases and autoinflammatory disease: A review
Liuting Zeng, Kailin Yang, Tianqing Zhang, et al.
Journal of Autoimmunity (2022) Vol. 133, pp. 102919-102919
Closed Access | Times Cited: 23
Automated Endocardial Border Detection and Left Ventricular Functional Assessment in Echocardiography Using Deep Learning
Shunzaburo Ono, Masaaki Komatsu, Akira Sakai, et al.
Biomedicines (2022) Vol. 10, Iss. 5, pp. 1082-1082
Open Access | Times Cited: 15
Cochlear Development; New Tools and Approaches
Matthew W. Kelley
Frontiers in Cell and Developmental Biology (2022) Vol. 10
Open Access | Times Cited: 10
Enhancing single-cell biology through advanced AI-powered microfluidics
Zhaolong Gao, Yiwei Li
Biomicrofluidics (2023) Vol. 17, Iss. 5
Open Access | Times Cited: 5
A machine learning one-class logistic regression model to predict stemness for single cell transcriptomics and spatial omics
Felipe Segato Dezem, Maycon Marção, Bassem Ben-Cheikh, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Intercellular Communication-Related Molecular Subtypes and a Gene Signature Identified by the Single-Cell RNA Sequencing Combined with a Transcriptomic Analysis
Pin Guan, Wentao Cai, Ke Wu, et al.
Disease Markers (2022) Vol. 2022, pp. 1-22
Open Access | Times Cited: 5
Tumor cell type and gene marker identification by single layer perceptron neural network on single-cell RNA sequence data
Biswajit Senapati, Ranjita Das
Journal of Biosciences (2024) Vol. 49, Iss. 2
Closed Access
Artificial intelligence identifies spatial fingerprints of kidney-resident macrophages and brain microglia
Christian Kurts, Junping Yin, Daniela Klaus, et al.
Research Square (Research Square) (2024)
Open Access
A strategy for hereditary anemia taxonomy through hierarchical intelligent classification scheme in digital holography
Marika Valentino, Daniele Pirone, Michela Schiavo, et al.
(2024), pp. W4A.26-W4A.26
Closed Access
scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery
Saiyam Jogani, Anand Santosh Pol, Mayur Prajapati, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
RNA Metabolism and the Role of Small RNAs in Regulating Multiple Aspects of RNA Metabolism
Pranav Dawar, Indra Adhikari, Swarupa Nanda Mandal, et al.
Non-Coding RNA (2024) Vol. 11, Iss. 1, pp. 1-1
Open Access
The Use of Machine Learning for Human Sperm and Oocyte Selection and Success Rate in IVF Methods
Javad Amini Mahabadi, Seyed Ehsan Enderami, Hossein Nikzad, et al.
Andrologia (2024) Vol. 2024, Iss. 1
Open Access
Hierarchical learning approaches for improving label-free single-cell classification in holographic microscopy
Pasquale Memmolo, Vittorio Bianco, Roberta Russo, et al.
(2023), pp. 31-31
Closed Access | Times Cited: 1
Cell-type classification of cancer single-cell RNA-seq data using the Subsemble ensemble-based machine learning classifier
David Chen, Parisa Shooshtari
F1000Research (2023) Vol. 12, pp. 406-406
Open Access
A Machine Learning One-Class Logistic Regression Model to Predict Stemness in Single Cell Transcriptomics and Spatial Omics Datasets
Felipe Segato Dezem, Maycon Marção, Bassem Ben-Cheikh, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Exploration of the Molecular Mechanism of Intercellular Communication in Paediatric Neuroblastoma by Single-Cell Sequencing
Jing Chu
Research Square (Research Square) (2023)
Open Access
Comparison of Machine Learning Pipelines for Gene Expression Matrices
Mateus Devino, Kele Belloze, Eduardo Bezerra
Lecture notes in computer science (2022), pp. 32-37
Closed Access
Identification of immune subtypes of melanoma based on single-cell and bulk RNA sequencing data
Linqian Guo, Qingrong Meng, Wenqi Lin, et al.
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 2, pp. 2920-2936
Open Access
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