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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:

PeakBot: machine-learning-based chromatographic peak picking
Christoph Bueschl, Maria Doppler, Elisabeth Varga, et al.
Bioinformatics (2022) Vol. 38, Iss. 13, pp. 3422-3428
Open Access | Times Cited: 20

Showing 20 citing articles:

MetaboLights: open data repository for metabolomics
Özgür Yürekten, Thomas Payne, Noemı́ Tejera, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D640-D646
Open Access | Times Cited: 116
Harmonized quality assurance/quality control provisions to assess completeness and robustness of MS1 data preprocessing for LC-HRMS-based suspect screening and non-targeted analysis
Sarah Lennon, Jade Chaker, Elliott J. Price, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 174, pp. 117674-117674
Closed Access | Times Cited: 12
Software and Computational Tools for LC-MS-Based Epilipidomics: Challenges and Solutions
Tito Damiani, Stefano Bonciarelli, Gerhard Thallinger, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 1, pp. 287-303
Open Access | Times Cited: 15
Tailored Mass Spectral Data Exploration Using the SpecXplore Interactive Dashboard
Kevin Mildau, Henry Ehlers, Ian Oesterle, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 15, pp. 5798-5806
Open Access | Times Cited: 5
Metabolomics as an emerging approach for deciphering the biological impact and toxicity of food contaminants: the case of mycotoxins
Payal Mandal, Olga Lanaridi, Benedikt Warth, et al.
Critical Reviews in Food Science and Nutrition (2023) Vol. 64, Iss. 27, pp. 9859-9883
Open Access | Times Cited: 12
Artificial intelligence-driven systems engineering for next-generation plant-derived biopharmaceuticals
S Parthiban, Thandarvalli Vijeesh, Thashanamoorthi Gayathri, et al.
Frontiers in Plant Science (2023) Vol. 14
Open Access | Times Cited: 12
QuanFormer: A Transformer-Based Precise Peak Detection and Quantification Tool in LC-MS-Based Metabolomics
Zhengyi Zhang, Huan Yang, Yanyi Wang, et al.
Analytical Chemistry (2025)
Closed Access
Application of Machine Learning in LC-MS-Based Non-Targeted Analysis
Jin Zhang, Lu Chen, Yu Wang, et al.
TrAC Trends in Analytical Chemistry (2025), pp. 118243-118243
Closed Access
Towards a greener future: The role of sustainable methodologies in metabolomics research
Chiara Spaggiari, Kgalaletso Othibeng, Fidele Tugizimana, et al.
Advances in Sample Preparation (2025), pp. 100186-100186
Open Access
Automated Integration and Quality Assessment of Chromatographic Peaks in LC–MS-Based Metabolomics and Lipidomics Using TARDIS
Pablo Vangeenderhuysen, Matthijs Vynck, Beata Pomian, et al.
Analytical Chemistry (2025)
Closed Access
Automated method development in high-pressure liquid chromatography
Emery Bosten, Alexander Kensert, Gert Desmet, et al.
Journal of Chromatography A (2023) Vol. 1714, pp. 464577-464577
Open Access | Times Cited: 9
Machine learning-assisted identification of environmental pollutants by liquid chromatography coupled with high-resolution mass spectrometry
Haotian Wang, Laijin Zhong, Wenyuan Su, et al.
TrAC Trends in Analytical Chemistry (2024), pp. 117988-117988
Closed Access | Times Cited: 2
What is the real value of omics data? Enhancing research outcomes and securing long-term data excellence
E.H. Price, Felix Feyertag, Thomas G. Evans, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. 20, pp. 12130-12140
Open Access | Times Cited: 2
Bioinformatic Analysis of Metabolomic Data: From Raw Spectra to Biological Insight
Guillem Santamaria, Francisco R. Pinto
BioChem (2024) Vol. 4, Iss. 2, pp. 90-114
Open Access | Times Cited: 1
Deep denoising autoencoder-assisted continuous scoring of peak quality in high-resolution LC−MS data
Hongchao Ji, Jing Tian
Chemometrics and Intelligent Laboratory Systems (2022) Vol. 231, pp. 104694-104694
Closed Access | Times Cited: 7
A false peak recognition method based on deep learning
Kun Li, Yingchao Zhang, Yuanlu Li
Chemometrics and Intelligent Laboratory Systems (2023) Vol. 238, pp. 104849-104849
Closed Access | Times Cited: 3
MATLAB language assisted data acquisition and processing in liquid chromatography Orbitrap mass spectrometry: Application to the identification and differentiation of Radix Bupleuri from its adulterants
Xuanjing Shen, Jianqing Zhang, Yaling An, et al.
Journal of Chromatography A (2023) Vol. 1714, pp. 464544-464544
Closed Access | Times Cited: 3
Highly automatic and universal approach for pure ion chromatogram construction from liquid chromatography-mass spectrometry data using deep learning
Yuxuan Liao, Miao Tian, Hailiang Zhang, et al.
Journal of Chromatography A (2023) Vol. 1705, pp. 464172-464172
Closed Access | Times Cited: 2
Deep learning framework for peak detection at the intact level of therapeutic proteins
Saxena Nikita, Sanghati Bhattacharya, Kriti Manocha, et al.
Journal of Separation Science (2024) Vol. 47, Iss. 11
Closed Access
Automated Processing of Chromatograms: A Comprehensive Python Package with GUI for Intelligent Peak Identification and Deconvolution in Chemical Reaction Analysis
Jan Obořil, Christian P. Haas, Maximilian Lübbesmeyer, et al.
Digital Discovery (2024)
Open Access
Sugarcane Metabolomics and Its Applications in Value Addition
V. Krishnapriya, S. Anusha, V. Vinu, et al.
(2024), pp. 109-124
Closed Access
Tailored mass spectral data exploration using the specXplore interactive dashboard
Kevin Mildau, Henry Ehlers, Ian Oesterle, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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