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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:

Deep metabolome: Applications of deep learning in metabolomics
Yotsawat Pomyen, Kwanjeera Wanichthanarak, Patcha Poungsombat, et al.
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 2818-2825
Open Access | Times Cited: 125

Showing 26-50 of 125 citing articles:

Variational autoencoders learn transferrable representations of metabolomics data
Daniel P. Gomari, Annalise Schweickart, Leandro Cerchietti, et al.
Communications Biology (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 28
Metabolomics in Bariatric and Metabolic Surgery Research and the Potential of Deep Learning in Bridging the Gap
Athanasios Pantelis
Metabolites (2022) Vol. 12, Iss. 5, pp. 458-458
Open Access | Times Cited: 26
Addressing big data challenges in mass spectrometry-based metabolomics
Jian Guo, Huaxu Yu, Shipei Xing, et al.
Chemical Communications (2022) Vol. 58, Iss. 72, pp. 9979-9990
Open Access | Times Cited: 26
Plasma lipids signify the progression of precancerous gastric lesions to gastric cancer: a prospective targeted lipidomics study
Zongchao Liu, Wenhui Wu, Sha Huang, et al.
Theranostics (2022) Vol. 12, Iss. 10, pp. 4671-4683
Open Access | Times Cited: 25
Application and prospect of metabolomics-related technologies in food inspection
Jiazong Liu, Haipeng Zhao, Ziyi Yin, et al.
Food Research International (2023) Vol. 171, pp. 113071-113071
Closed Access | Times Cited: 16
Metabolomics in viral hepatitis: advances and review
Jiajia Yang, Dawei Wang, Yuancheng Li, et al.
Frontiers in Cellular and Infection Microbiology (2023) Vol. 13
Open Access | Times Cited: 13
Machine learning for the advancement of genome-scale metabolic modeling
Pritam Kundu, Satyajit Beura, Suman Mondal, et al.
Biotechnology Advances (2024) Vol. 74, pp. 108400-108400
Closed Access | Times Cited: 5
Deep Neural Network Pretrained by Weighted Autoencoders and Transfer Learning for Retention Time Prediction of Small Molecules
Ran Ju, Xinyu Liu, Fujian Zheng, et al.
Analytical Chemistry (2021) Vol. 93, Iss. 47, pp. 15651-15658
Closed Access | Times Cited: 29
Metabolomics of asthma, COPD, and asthma-COPD overlap: an overview
Sanjukta Dasgupta, Nilanjana Ghosh, Parthasarathi Bhattacharyya, et al.
Critical Reviews in Clinical Laboratory Sciences (2022) Vol. 60, Iss. 2, pp. 153-170
Closed Access | Times Cited: 22
Environmental phenol exposure associates with urine metabolome alteration in young Northeast Indian females
Aishwarya Jala, Ratul Dutta, Jhansi Venkata Nagamani Josyula, et al.
Chemosphere (2023) Vol. 317, pp. 137830-137830
Closed Access | Times Cited: 12
Transforming Neurodegenerative Disorder Care with Machine Learning: Strategies and Applications
Aya Galal, Ahmed A. Moustafa, Mohamed Salama
(2025)
Closed Access
A Comparative Study of Network-Based Machine Learning Approaches for Binary Classification in Metabolomics
Hunter Dlugas, Seongho Kim
Metabolites (2025) Vol. 15, Iss. 3, pp. 174-174
Open Access
Transforming neurodegenerative disorder care with machine learning: Strategies and applications
Aya Galal, Ahmed A. Moustafa, Mohamed Salama
Neuroscience (2025)
Closed Access
Prediction of influenza virus infection based on deep learning and peripheral blood proteomics: A diagnostic study
Yumei Zhou, P. Wang, Haiyun Zhang, et al.
Journal of Advanced Research (2025)
Open Access
Definition and strategy of intelligent foodomics for diagnosis and identification of hazards and pathogens in food-borne diseases
Dangang Shangguan, Yuanliang Wang, Qi Huang, et al.
Trends in Food Science & Technology (2025), pp. 104994-104994
Closed Access
The role of alpha-synuclein in synucleinopathy: Impact on lipid regulation at mitochondria–ER membranes
Peter A. Barbuti, Cristina Guardia‐Laguarta, Taekyung Yun, et al.
npj Parkinson s Disease (2025) Vol. 11, Iss. 1
Open Access
Chemometric-Guided Approaches for Profiling and Authenticating Botanical Materials
Evelyn J. Abraham, Joshua J. Kellogg
Frontiers in Nutrition (2021) Vol. 8
Open Access | Times Cited: 26
Multi-Omics-Based Discovery of Plant Signaling Molecules
Fei Luo, Zongjun Yu, Qian Zhou, et al.
Metabolites (2022) Vol. 12, Iss. 1, pp. 76-76
Open Access | Times Cited: 17
Systems Immunology Approaches to Metabolism
Denis A. Mogilenko, Alexey Sergushichev, Maxim N. Artyomov
Annual Review of Immunology (2023) Vol. 41, Iss. 1, pp. 317-342
Open Access | Times Cited: 10
Machine learning for metabolomics research in drug discovery
Dominic D. Martinelli
Intelligence-Based Medicine (2023) Vol. 8, pp. 100101-100101
Open Access | Times Cited: 10
A novel preliminary metabolomic panel for IHD diagnostics and pathogenesis
С. С. Маркин, Elena A. Ponomarenko, Yu. A. Romashova, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
MetMiner: A user‐friendly pipeline for large‐scale plant metabolomics data analysis
Xiao Wang, Shuang Liang, Wenqi Yang, et al.
Journal of Integrative Plant Biology (2024)
Open Access | Times Cited: 3
Coupling Machine Learning and Lipidomics as a Tool to Investigate Metabolic Dysfunction-Associated Fatty Liver Disease. A General Overview
Helena Castañé, Gerard Baiges‐Gayà, Anna Hernández‐Aguilera, et al.
Biomolecules (2021) Vol. 11, Iss. 3, pp. 473-473
Open Access | Times Cited: 22
Deep learning analysis of UPLC-MS/MS-based metabolomics data to predict Alzheimer's disease
Kesheng Wang, Laurie A. Theeke, Christopher Liao, et al.
Journal of the Neurological Sciences (2023) Vol. 453, pp. 120812-120812
Open Access | Times Cited: 9
Cheminformatics and artificial intelligence for accelerating agrochemical discovery
Yannick Djoumbou-Feunang, Jeremy T. Wilmot, J.H. Kinney, et al.
Frontiers in Chemistry (2023) Vol. 11
Open Access | Times Cited: 8

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