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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:

A Comparison for Dimensionality Reduction Methods of Single-Cell RNA-seq Data
Ruizhi Xiang, Wencan Wang, Lei Yang, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 111

Showing 1-25 of 111 citing articles:

Machine learning bridges omics sciences and plant breeding
Jun Yan, Xiangfeng Wang
Trends in Plant Science (2022) Vol. 28, Iss. 2, pp. 199-210
Closed Access | Times Cited: 79
Research Trends and Dynamics in Single-cell RNA Sequencing for Musculoskeletal Diseases: A Scientometric and Visualization Study
Siyang Cao, Yihao Wei, Yaohang Yue, et al.
International Journal of Medical Sciences (2025) Vol. 22, Iss. 3, pp. 528-550
Open Access | Times Cited: 3
Hepatic stellate cells control liver zonation, size and functions via R-spondin 3
Atsushi Sugimoto, Yoshinobu Saito, Guanxiong Wang, et al.
Nature (2025)
Open Access | Times Cited: 2
Single-cell spatial transcriptomics reveals a dynamic control of metabolic zonation and liver regeneration by endothelial cell Wnt2 and Wnt9b
Shikai Hu, Silvia Liu, Yu Bian, et al.
Cell Reports Medicine (2022) Vol. 3, Iss. 10, pp. 100754-100754
Open Access | Times Cited: 65
Unsupervised and semi‐supervised learning: the next frontier in machine learning for plant systems biology
Jun Yan, Xiangfeng Wang
The Plant Journal (2022) Vol. 111, Iss. 6, pp. 1527-1538
Closed Access | Times Cited: 62
Single cell RNA‐sequencing: A powerful yet still challenging technology to study cellular heterogeneity
May Sin Ke, Badran Elshenawy, Helen Sheldon, et al.
BioEssays (2022) Vol. 44, Iss. 11
Open Access | Times Cited: 51
Integration of Machine Learning and Coarse-Grained Molecular Simulations for Polymer Materials: Physical Understandings and Molecular Design
Thanh Danh Nguyen, Lei Tao, Ying Li
Frontiers in Chemistry (2022) Vol. 9
Open Access | Times Cited: 39
Discovery of multi-functional polyimides through high-throughput screening using explainable machine learning
Lei Tao, Jinlong He, Nuwayo Eric Munyaneza, et al.
Chemical Engineering Journal (2023) Vol. 465, pp. 142949-142949
Open Access | Times Cited: 39
Comparative analysis of dimension reduction methods for cytometry by time-of-flight data
Kaiwen Wang, Yuqiu Yang, Fangjiang Wu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 30
Advances in the Application of Single-Cell Transcriptomics in Plant Systems and Synthetic Biology
Md Torikul Islam, Yang Liu, Md Mahmudul Hassan, et al.
BioDesign Research (2024) Vol. 6, pp. 0029-0029
Open Access | Times Cited: 13
Single-Cell RNA Sequencing in Ovarian Cancer: Current Progress and Future Prospects
Zhi Xiong Chong
Progress in Biophysics and Molecular Biology (2025)
Closed Access | Times Cited: 1
Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single‐cell RNA sequencing analyses
Jorge A. Tzec‐Interián, Daianna González‐Padilla, Elsa Góngora‐Castillo
Quantitative Biology (2025) Vol. 13, Iss. 2
Open Access | Times Cited: 1
The Impact of Dropouts in scRNAseq Dense Neighborhood Analysis
Alisa Pavel, Manja Gersholm Grønberg, Line Katrine Harder Clemmensen
Computational and Structural Biotechnology Journal (2025)
Open Access | Times Cited: 1
Adoption of Machine Learning in Pharmacometrics: An Overview of Recent Implementations and Their Considerations
Alexander Janßen, Frank C. Bennis, Ron A. A. Mathôt
Pharmaceutics (2022) Vol. 14, Iss. 9, pp. 1814-1814
Open Access | Times Cited: 32
An Ensemble Feature Selection Approach for Analysis and Modeling of Transcriptome Data in Alzheimer’s Disease
Petros Paplomatas, Marios G. Krokidis, Panagiotis Vlamos, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2353-2353
Open Access | Times Cited: 21
From High Dimensions to Human Insight: Exploring Dimensionality Reduction for Chemical Space Visualization
Alexey A. Orlov, Tagir Akhmetshin, Dragos Horvath, et al.
Molecular Informatics (2024) Vol. 44, Iss. 1
Closed Access | Times Cited: 8
Analyzing Modern Biomolecules: The Revolution of Nucleic-Acid Sequencing – Review
Gabriel Dorado, Sergio Gálvez, Teresa E. Rosales Tham, et al.
Biomolecules (2021) Vol. 11, Iss. 8, pp. 1111-1111
Open Access | Times Cited: 41
Classification of BATSE, Swift, and Fermi Gamma-Ray Bursts from Prompt Emission Alone
Charles L. Steinhardt, William J. Mann, Vadim Rusakov, et al.
The Astrophysical Journal (2023) Vol. 945, Iss. 1, pp. 67-67
Open Access | Times Cited: 16
Deciphering the Biology of Circulating Tumor Cells through Single-Cell RNA Sequencing: Implications for Precision Medicine in Cancer
Santhasiri Orrapin, Patcharawadee Thongkumkoon, Sasimol Udomruk, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 15, pp. 12337-12337
Open Access | Times Cited: 16
Single-Cell Informatics for Tumor Microenvironment and Immunotherapy
Jiabao Tian, Xinyu Bai, Camelia Quek
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 8, pp. 4485-4485
Open Access | Times Cited: 5
A comprehensive survey of dimensionality reduction and clustering methods for single-cell and spatial transcriptomics data
Yidi Sun, Lingling Kong, Jiayi Huang, et al.
Briefings in Functional Genomics (2024) Vol. 23, Iss. 6, pp. 733-744
Closed Access | Times Cited: 5
scNODE : generative model for temporal single cell transcriptomic data prediction
Jiaqi Zhang, Erica Larschan, Jeremy Bigness, et al.
Bioinformatics (2024) Vol. 40, Iss. Supplement_2, pp. ii146-ii154
Open Access | Times Cited: 5
Revisiting hematopoiesis: applications of the bulk and single-cell transcriptomics dissecting transcriptional heterogeneity in hematopoietic stem cells
Isha Monga, Karambir Kaur, Sandeep Kumar Dhanda
Briefings in Functional Genomics (2022) Vol. 21, Iss. 3, pp. 159-176
Closed Access | Times Cited: 21
Single-cell RNA-seq reveals intratumoral heterogeneity in osteosarcoma patients: A review
Dylan D. Thomas, Ryan A. Lacinski, Brock A. Lindsey
Journal of bone oncology (2023) Vol. 39, pp. 100475-100475
Open Access | Times Cited: 12
An introduction to representation learning for single-cell data analysis
Ihuan Gunawan, Fatemeh Vafaee, Erik Meijering, et al.
Cell Reports Methods (2023) Vol. 3, Iss. 8, pp. 100547-100547
Open Access | Times Cited: 12
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