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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:

Predicting Cell Populations in Single Cell Mass Cytometry Data
Tamim Abdelaal, Vincent van Unen, Thomas Höllt, et al.
Cytometry Part A (2019) Vol. 95, Iss. 7, pp. 769-781
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

diffcyt: Differential discovery in high-dimensional cytometry via high-resolution clustering
Lukas M. Weber, Małgorzata Nowicka, Charlotte Soneson, et al.
Communications Biology (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 209
A comparison framework and guideline of clustering methods for mass cytometry data
Xiao Liu, Weichen Song, Brandon Wong, et al.
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 156
CyTOF® for the Masses
Akshay Iyer, Anouk A.J. Hamers, Asha Pillai
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 79
Robust phenotyping of highly multiplexed tissue imaging data using pixel-level clustering
Candace C. Liu, Noah F. Greenwald, Alex Kong, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 51
High-dimensional cytometric analysis of colorectal cancer reveals novel mediators of antitumour immunity
N. de Vries, Vincent van Unen, Marieke E. Ijsselsteijn, et al.
Gut (2019) Vol. 69, Iss. 4, pp. 691-703
Open Access | Times Cited: 109
Current trends in flow cytometry automated data analysis software
Melissa Cheung, Jonathan J. Campbell, Liam Whitby, et al.
Cytometry Part A (2021) Vol. 99, Iss. 10, pp. 1007-1021
Open Access | Times Cited: 77
Automated assignment of cell identity from single-cell multiplexed imaging and proteomic data
Michael J. Geuenich, Jinyu Hou, Lee Sunyun, et al.
Cell Systems (2021) Vol. 12, Iss. 12, pp. 1173-1186.e5
Open Access | Times Cited: 59
Application of Machine Learning for Cytometry Data
Zicheng Hu, Sanchita Bhattacharya, Atul J. Butte
Frontiers in Immunology (2022) Vol. 12
Open Access | Times Cited: 50
DGCyTOF: Deep learning with graphic cluster visualization to predict cell types of single cell mass cytometry data
Lijun Cheng, Pratik Karkhanis, Birkan Gökbağ, et al.
PLoS Computational Biology (2022) Vol. 18, Iss. 4, pp. e1008885-e1008885
Open Access | Times Cited: 36
The impacts of active and self-supervised learning on efficient annotation of single-cell expression data
Michael J. Geuenich, D. H. Gong, Kieran R. Campbell
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Progress and applications of mass cytometry in sketching immune landscapes
Ting Zhang, Antony R. Warden, Yiyang Li, et al.
Clinical and Translational Medicine (2020) Vol. 10, Iss. 6
Open Access | Times Cited: 44
Recent Advances in Computer-Assisted Algorithms for Cell Subtype Identification of Cytometry Data
Peng Liu, Silvia Liu, Yusi Fang, et al.
Frontiers in Cell and Developmental Biology (2020) Vol. 8
Open Access | Times Cited: 40
A review on deep learning applications in highly multiplexed tissue imaging data analysis
Mohammed Zidane, Ahmad Makky, Matthias Bruhns, et al.
Frontiers in Bioinformatics (2023) Vol. 3
Open Access | Times Cited: 14
FATE: Feature-Agnostic Transformer-based Encoder for learning generalized embedding spaces in flow cytometry data
Lisa Weijler, Florian Kowarsch, Michael J. Reiter, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024), pp. 7941-7949
Open Access | Times Cited: 5
Identification of a Disease-Associated Network of Intestinal Immune Cells in Treatment-Naive Inflammatory Bowel Disease
Vincent van Unen, Laura F. Ouboter, Na Li, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 21
Automated Deep Learning-Based Diagnosis and Molecular Characterization of Acute Myeloid Leukemia Using Flow Cytometry
Joshua E. Lewis, Lee Cooper, David L. Jaye, et al.
Modern Pathology (2023) Vol. 37, Iss. 1, pp. 100373-100373
Open Access | Times Cited: 12
Tribus: Semi-automated discovery of cell identities and phenotypes from multiplexed imaging and proteomic data
Ziqi Kang, Angela E. Szabó, Teodora Farago, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Immune Checkpoint Receptor Expression Profiles of MAIT Cells in Moderate and Severe COVID‐19
Mátyás Meggyes, Dávid U. Nagy, Ildikó Y. Tóth, et al.
Scandinavian Journal of Immunology (2025) Vol. 101, Iss. 2
Open Access
CytoPheno: Automated descriptive cell type naming in flow and mass cytometry
Amanda R. Tursi, Celine S. Lages, Kenneth Quayle, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Integrated workflow for analysis of immune enriched spatial proteomic data with IMmuneCite
Arianna Barbetta, Sarah Bangerth, Jason T. C. Lee, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
CyTOFmerge: integrating mass cytometry data across multiple panels
Tamim Abdelaal, Thomas Höllt, Vincent van Unen, et al.
Bioinformatics (2019) Vol. 35, Iss. 20, pp. 4063-4071
Open Access | Times Cited: 31
CyAnno: a semi-automated approach for cell type annotation of mass cytometry datasets
Abhinav Kaushik, Diane Dunham, Ziyuan He, et al.
Bioinformatics (2021) Vol. 37, Iss. 22, pp. 4164-4171
Open Access | Times Cited: 24
Making the most of high‐dimensional cytometry data
Felix Marsh‐Wakefield, Andrew J. Mitchell, Samuel E Norton, et al.
Immunology and Cell Biology (2021) Vol. 99, Iss. 7, pp. 680-696
Open Access | Times Cited: 21
Computational flow cytometry provides accurate assessment of measurable residual disease in chronic lymphocytic leukaemia
Phillip Nguyen, Vuong Nguyen, Kylie Baldwin, et al.
British Journal of Haematology (2023) Vol. 202, Iss. 4, pp. 760-770
Closed Access | Times Cited: 7
Robust phenotyping of highly multiplexed tissue imaging data using pixel-level clustering
Candace C. Liu, Noah F. Greenwald, Alex Kong, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 12
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