Citations Report

Metabolomics:Open Access : Citations & Metrics Report

Articles published in Metabolomics:Open Access have been cited by esteemed scholars and scientists all around the world.

Metabolomics:Open Access has got h-index 14, which means every article in Metabolomics:Open Access has got 14 average citations.

Following are the list of articles that have cited the articles published in Metabolomics:Open Access.

	2022	2021	2020	2019	2018
Year wise published articles	20	30	24	7	9
Year wise citations received	102	110	105	105	96

Journal total citations count	895
Journal impact factor	1.8
Journal 5 years impact factor	3.73
Journal cite score	2.25
Journal h-index	14
Journal h-index since 2018	9

Important citations

Santri, Dewi, and Yusrianti Hanike. "PEMODELAN STATISTICAL DOWNSCALING REGRESI KUANTIL LASSO DAN ANALISIS KOMPONEN UTAMA UNTUK PENDUGAAN CURAH HUJAN EKSTRIM." MAp (Mathematics and Applications) Journal 2, no. 1 (2020): 47-57. View at Publisher View at Google Scholar View at Indexing
Ji?í, Anýž. "Analýza biochemických dat." (2019). View at Publisher View at Google Scholar View at Indexing
Lemesle, Gilles. "Recherche de biomarqueurs pronostiques dans l'insuffisance cardiaque." PhD diss., Université du Droit et de la Santé-Lille II, 2015. View at Publisher View at Google Scholar View at Indexing
El-Bayomi, Khairy M., Elhoussainy A. Rady, Mahmoud S. El-Tarabany, and Hala I. Mahmoud. "Modeling of Biological Data Based on Regression Methods." Zagazig Veterinary Journal 46, no. 2 (2018): 146-153. View at Publisher View at Google Scholar View at Indexing
Mena, Pedro, Claudia Favari, Animesh Acharjee, Saisakul Chernbumroong, Letizia Bresciani, Claudio Curti, Furio Brighenti, Christian Heiss, Ana Rodriguez-Mateos, and Daniele Del Rio. "Metabotypes of flavan-3-ol colonic metabolites after cranberry intake: elucidation and statistical approaches." European journal of nutrition (2021): 1-19. View at Publisher View at Google Scholar View at Indexing
Hung, Yung. "Consumer-driven development of policy actions to improve food choice: the cases of health claim regulation and product reformulation." PhD diss., Ghent University, 2018. View at Publisher View at Google Scholar View at Indexing
Bertolini, Roberto. "Evaluating Performance Variability of Data Pipelines for Binary Classification with Applications to Predictive Learning Analytics." PhD diss., State University of New York at Stony Brook, 2021. View at Publisher View at Google Scholar View at Indexing
Puah, Shermain. "Predicting Students’ Academic Performance: A Comparison between Traditional MLR and Machine Learning Methods with PISA 2015." (2021). View at Publisher View at Google Scholar View at Indexing
Cangur, Sengul, Handan Ankarali, and Celalettin Icmeli. "Investigation of factors affecting the intelligence quotient (IQ) of intellectually disabled children and adolescents using modern regression approaches." Ethiopian Journal of Health Development 32, no. 1 (2018). View at Publisher View at Google Scholar View at Indexing
Bari, Abdallah, M. Inagaki, M. Nachit, A. B. Damania, H. Ouabbou, M. Karrou, C. Biradar, and B. Humeid. "Assessing Plant Genetic Resources for Climate-Change Adaptive Traits: Heat Traits." In Applied Mathematics and Omics to Assess Crop Genetic Resources for Climate Change Adaptive Traits, pp. 175-187. CRC Press, 2018. View at Publisher View at Google Scholar View at Indexing
Loof, Remco. "Predicting the Internal Load of Amateur Athlete’s Based on Their External Load Using Accessible Sensors." Bachelor's thesis, University of Twente, 2019. View at Publisher View at Google Scholar View at Indexing
Bravo?Merodio, Laura, John A. Williams, Georgios V. Gkoutos, and Animesh Acharjee. "for translational medicine." (2019). View at Publisher View at Google Scholar View at Indexing
Foster, Mark, Georgios V. Gkoutos, and Janet M. Lord. "Machine learning for the detection of early immunological markers as predictors of multi-organ dysfunction." View at Publisher View at Google Scholar View at Indexing
Uzochukwu, Emeka Calistus. "Sparsity in partial least squares regression models." PhD diss., University of Leeds, 2020. View at Publisher View at Google Scholar View at Indexing
Okui, Tasuku, Yutaka Matsuyama, and Shigeyuki Nakaji. "A New Association Analysis Method for Gut Microbial Compositional Data Using Ensemble Learning." Japanese Journal of Biometrics 39, no. 2 (2019): 55-84. View at Publisher View at Google Scholar View at Indexing
Mena, Pedro, Iziar A. Ludwig, Virginia B. Tomatis, Animesh Acharjee, Luca Calani, Alice Rosi, Furio Brighenti et al. "Inter-individual variability in the production of flavan-3-ol colonic metabolites." View at Publisher View at Google Scholar View at Indexing
AKYÜREK, Seda, and Suna AKKOL. "Estimation of Egg Internal Quality Traits Using Partial Least Squares Regression." Yüzüncü Y?l University Journal of Agricultural Sciences 28, no. 4 (2018): 473-481. View at Publisher View at Google Scholar View at Indexing
Casagrande, Marcelo Henrique. "Comparison of estimation methods for problems with collinearity and/or high dimensionality (p> n)." (2016). View at Publisher View at Google Scholar View at Indexing
Lyall, Rafe, Zoran Nikoloski, and Tsanko Gechev. "Comparative Analysis of ROS Network Genes in Extremophile Eukaryotes." International Journal of Molecular Sciences 21, no. 23 (2020): 9131. View at Publisher View at Google Scholar View at Indexing
Park, Soyoung, and Jinsoo Kim. "The Predictive Capability of a Novel Ensemble Tree-Based Algorithm for Assessing Groundwater Potential." Sustainability 13, no. 5 (2021): 2459. View at Publisher View at Google Scholar View at Indexing
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Journal Highlights

Google Scholar citation report

Citations: 895

Metabolomics:Open Access received 895 citations as per Google Scholar report

Metabolomics:Open Access peer review process verified at publons

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Metabolomics:Open Access