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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:

GSimp: A Gibbs sampler based left-censored missing value imputation approach for metabolomics studies
Runmin Wei, Jingye Wang, Erik Jia, et al.
PLoS Computational Biology (2018) Vol. 14, Iss. 1, pp. e1005973-e1005973
Open Access | Times Cited: 137

Showing 1-25 of 137 citing articles:

Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis
Chen Chen, Jie Hou, John J. Tanner, et al.
International Journal of Molecular Sciences (2020) Vol. 21, Iss. 8, pp. 2873-2873
Open Access | Times Cited: 222
Deep-learning cardiac motion analysis for human survival prediction
Ghalib Bello, Timothy J. W. Dawes, Jinming Duan, et al.
Nature Machine Intelligence (2019) Vol. 1, Iss. 2, pp. 95-104
Open Access | Times Cited: 216
Random forest-based imputation outperforms other methods for imputing LC-MS metabolomics data: a comparative study
Marietta Kokla, Jyrki K. Virtanen, Marjukka Kolehmainen, et al.
BMC Bioinformatics (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 180
Targeted metabolomics reveals plasma short-chain fatty acids are associated with metabolic dysfunction-associated steatotic liver disease
Mira Thing, Mikkel Werge, Nina Kimer, et al.
BMC Gastroenterology (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 18
NAguideR: performing and prioritizing missing value imputations for consistent bottom-up proteomic analyses
Shisheng Wang, Wenxue Li, Liqiang Hu, et al.
Nucleic Acids Research (2020) Vol. 48, Iss. 14, pp. e83-e83
Open Access | Times Cited: 123
Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome
Jacob Schreiber, Timothy Durham, Jeffrey A. Bilmes, et al.
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 108
C/N ratio and carbon source-dependent lipid production profiling in Rhodotorula toruloides
Helberth Júnnior Santos Lopes, Nemailla Bonturi, Eduard J. Kerkhoven, et al.
Applied Microbiology and Biotechnology (2020) Vol. 104, Iss. 6, pp. 2639-2649
Open Access | Times Cited: 102
The metaRbolomics Toolbox in Bioconductor and beyond
Jan Stanstrup, Corey D. Broeckling, Rick Helmus, et al.
Metabolites (2019) Vol. 9, Iss. 10, pp. 200-200
Open Access | Times Cited: 86
Context-dependent representations of movement in Drosophila dopaminergic reinforcement pathways
Aryeh Zolin, Raphael Cohn, Rich Pang, et al.
Nature Neuroscience (2021) Vol. 24, Iss. 11, pp. 1555-1566
Open Access | Times Cited: 75
Innate lymphoid cell composition associates with COVID‐19 disease severity
Marina García, Efthymia Kokkinou, Anna Carrasco García, et al.
Clinical & Translational Immunology (2020) Vol. 9, Iss. 12
Open Access | Times Cited: 73
Per- and perfluoroalkyl substances alternatives, mixtures and liver function in adults: A community-based population study in China
Jiaojiao Liu, Xin-Xin Cui, Ya-Wen Tan, et al.
Environment International (2022) Vol. 163, pp. 107179-107179
Open Access | Times Cited: 61
Pharmacometabonomics: data processing and statistical analysis
Jianbo Fu, Ying Zhang, Jin Liu, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 5
Closed Access | Times Cited: 58
Dealing with missing values in proteomics data
Weijia Kong, Harvard Wai Hann Hui, Hui Peng, et al.
PROTEOMICS (2022) Vol. 22, Iss. 23-24
Closed Access | Times Cited: 55
Tryptophan degradation as a systems phenomenon in inflammation – an analysis across 13 chronic inflammatory diseases
Danielle M M Harris, Silke Szymczak, Sven Schuchardt, et al.
EBioMedicine (2024) Vol. 102, pp. 105056-105056
Open Access | Times Cited: 17
Identification of organic chemical indicators for tracking pollution sources in groundwater by machine learning from GC-HRMS-based suspect and non-target screening data
Okon Dominic Ekpe, Gyojin Choo, Jin-Kyu Kang, et al.
Water Research (2024) Vol. 252, pp. 121130-121130
Closed Access | Times Cited: 15
Imputation of label-free quantitative mass spectrometry-based proteomics data using self-supervised deep learning
Henry Webel, Lili Niu, Annelaura Bach Nielsen, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10
Xylose Metabolism and the Effect of Oxidative Stress on Lipid and Carotenoid Production in Rhodotorula toruloides: Insights for Future Biorefinery
Marina Julio Pinheiro, Nemailla Bonturi, Isma Belouah, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 67
NS-kNN: a modified k-nearest neighbors approach for imputing metabolomics data
Justin Y. Lee, Mark P. Styczynski
Metabolomics (2018) Vol. 14, Iss. 12
Open Access | Times Cited: 63
2D and 3D convolutional neural networks for outcome modelling of locally advanced head and neck squamous cell carcinoma
Sebastian Starke, Stefan Leger, Alex Zwanenburg, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 52
Genetic and metabolic engineering challenges of C1-gas fermenting acetogenic chassis organisms
Barbara Bourgade, Nigel P. Minton, M. Ahsanul Islam
FEMS Microbiology Reviews (2021) Vol. 45, Iss. 2
Open Access | Times Cited: 51
Deep learning approaches for natural product discovery from plant endophytic microbiomes
Shiva A. Aghdam, Amanda M. V. Brown
Environmental Microbiome (2021) Vol. 16, Iss. 1
Open Access | Times Cited: 47
Tools and resources for metabolomics research community: A 2017–2018 update
Biswapriya B. Misra, Subhashree Mohapatra
Electrophoresis (2018) Vol. 40, Iss. 2, pp. 227-246
Closed Access | Times Cited: 51
IP4M: an integrated platform for mass spectrometry-based metabolomics data mining
Dandan Liang, Quan Liu, Kejun Zhou, et al.
BMC Bioinformatics (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 44
An extended reconstruction of human gut microbiota metabolism of dietary compounds
Telmo Blasco, Sergio Pérez-Burillo, Francesco Balzerani, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 37
Multiple Imputation Approaches Applied to the Missing Value Problem in Bottom-Up Proteomics
Miranda L. Gardner, Michael A. Freitas
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 17, pp. 9650-9650
Open Access | Times Cited: 35
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