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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 cell type discovery and classification through knowledge transfer
Hao-Chih Lee, Roman Kosoy, Christine Becker, et al.
Bioinformatics (2017) Vol. 33, Iss. 11, pp. 1689-1695
Open Access | Times Cited: 68

Showing 26-50 of 68 citing articles:

DAFi: A directed recursive data filtering and clustering approach for improving and interpreting data clustering identification of cell populations from polychromatic flow cytometry data
Alexandra Lee, Ivan Chang, Julie G. Burel, et al.
Cytometry Part A (2018) Vol. 93, Iss. 6, pp. 597-610
Open Access | Times Cited: 18
Single-cell spatial proteomic analysis by multiplexed imaging enables identification of microglial heterogeneity in Alzheimer’s disease human brain
Paula Sanchez-Molina, Aditya Pratapa, Nadya Nikulina, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 4
A biology-driven deep generative model for cell-type annotation in cytometry
Quentin Blampey, Nadège Bercovici, Charles‐Antoine Dutertre, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Open Access | Times Cited: 4
GateMeClass: Gate mining and classification of cytometry data
Simone Caligola, Luca Giacobazzi, Stefania Canè, et al.
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access | Times Cited: 1
Comprehensive evaluation and practical guideline of gating methods for high-dimensional cytometry data: manual gating, unsupervised clustering, and auto-gating
Peng Liu, Yuchen Pan, Hung‐Ching Chang, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Machine Learning of Discriminative Gate Locations for Clinical Diagnosis
Disi Ji, Preston Putzel, Qian Yu, et al.
Cytometry Part A (2019) Vol. 97, Iss. 3, pp. 296-307
Open Access | Times Cited: 10
Bayesian Trees for Automated Cytometry Data Analysis
Disi Ji, Eric Nalisnick, Qian Yu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 9
Identification of cell types in multiplexed in situ images by combining protein expression and spatial information using CELESTA reveals novel spatial biology
Weiruo Zhang, Irene Li, Nathan E. Reticker-Flynn, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 5
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
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Automated and reproducible cell identification in mass cytometry using neural networks
Hajar Saihi, Conrad Bessant, William Alazawi
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Open Access | Times Cited: 2
Cytomulate: accurate and efficient simulation of CyTOF data
Yuqiu Yang, Kaiwen Wang, Zeyu Lu, et al.
Genome biology (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Cytomulate: accurate and efficient simulation of CyTOF data
Yuqiu Yang, Kaiwen Wang, Zeyu Lu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 4
Meta-analysis of Cytometry Data Reveals Racial Differences in Immune Cells
Zicheng Hu, Chethan Jujjavarapu, Jacob Hughey, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2017)
Open Access | Times Cited: 4
CytoPy: an autonomous cytometry analysis framework
Ross J. Burton, Raya Ahmed, Simone Cuff, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 4
Towards Self-explainable Transformers for Cell Classification in Flow Cytometry Data
Florian Kowarsch, Lisa Weijler, Matthias Wödlinger, et al.
Lecture notes in computer science (2022), pp. 22-32
Closed Access | Times Cited: 3
ImmCellTyper: an integrated computational pipeline for systematic mining of Mass Cytometry data to assist deep immune profiling
Jing Sun, Desmond Choy, Nicolas Sompairac, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
ImmCellTyper facilitates systematic mass cytometry data analysis for deep immune profiling
Jing Sun, Desmond Choy, Nicolas Sompairac, et al.
eLife (2024) Vol. 13
Open Access
IMmuneCite: an open-source workflow for processing multiplex images and analysis of immune enriched spatial proteomic data
Arianna Barbetta, Sarah Bangerth, Jason T. C. Lee, et al.
Research Square (Research Square) (2024)
Open Access
Automated cell type annotation and exploration of single-cell signaling dynamics using mass cytometry
Dimitrios Kleftogiannis, Sonia Gavasso, Benedicte Sjo Tislevoll, et al.
iScience (2024) Vol. 27, Iss. 7, pp. 110261-110261
Open Access
IMmuneCite: an integrated workflow for analysis of immune enriched spatial proteomic data
Arianna Barbetta, Sarah Bangerth, Jason T. C. Lee, et al.
Research Square (Research Square) (2024)
Open Access
Author response: ImmCellTyper: an integrated computational pipeline for systematic mining of Mass Cytometry data to assist deep immune profiling
Jing Sun, Desmond Choy, Nicolas Sompairac, et al.
(2024)
Open Access
Reviewer #3 (Public Review): ImmCellTyper: an integrated computational pipeline for systematic mining of Mass Cytometry data to assist deep immune profiling

(2024)
Open Access
eLife assessment: ImmCellTyper: an integrated computational pipeline for systematic mining of Mass Cytometry data to assist deep immune profiling
Seunghee Hong
(2024)
Open Access
ImmCellTyper: an integrated computational pipeline for systematic mining of Mass Cytometry data to assist deep immune profiling
Jing Sun, Desmond Choy, Nicolas Sompairac, et al.
(2024)
Open Access
Comprehensive evaluation and practical guideline of gating methods for high-dimensional cytometry data: manual gating, unsupervised clustering, and auto-gating
Peng Liu, Yuchen Pan, Hung‐Ching Chang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

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