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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:

Fully Automated Unconstrained Analysis of High-Resolution Mass Spectrometry Data with Machine Learning
Daniil A. Boiko, Konstantin S. Kozlov, Julia V. Burykina, et al.
Journal of the American Chemical Society (2022) Vol. 144, Iss. 32, pp. 14590-14606
Closed Access | Times Cited: 184

Showing 1-25 of 184 citing articles:

Emerging contaminants: A One Health perspective
Fang Wang, Leilei Xiang, Kelvin Sze‐Yin Leung, et al.
The Innovation (2024) Vol. 5, Iss. 4, pp. 100612-100612
Open Access | Times Cited: 131
ГРАВИМЕТРИЧЕСКОЕ ОПРЕДЕЛЕНИЕ ПАЛЛАДИЯ В ПЛАТИНО-ПАЛЛАДИЕВОМ КОНЦЕНТРАТЕ
Е.Л. Парамонова, И.С. Остапчук
Сборник тезисов докладов XXIII Международной Черняевской конференции по химии, анализу и технологии платиновых металлов (2022), pp. 152-152
Open Access | Times Cited: 130
From Characterization to Discovery: Artificial Intelligence, Machine Learning and High-Throughput Experiments for Heterogeneous Catalyst Design
Jorge Benavides-Hernández, Franck Dumeignil
ACS Catalysis (2024) Vol. 14, Iss. 15, pp. 11749-11779
Closed Access | Times Cited: 23
Recent Developments in Machine Learning for Mass Spectrometry
Armen G. Beck, Matthew Muhoberac, Caitlin E. Randolph, et al.
ACS Measurement Science Au (2024) Vol. 4, Iss. 3, pp. 233-246
Open Access | Times Cited: 17
Time-Resolved Formation and Operation Maps of Pd Catalysts Suggest a Key Role of Single Atom Centers in Cross-Coupling
Alexey S. Galushko, Daniil A. Boiko, Evgeniy O. Pentsak, et al.
Journal of the American Chemical Society (2023) Vol. 145, Iss. 16, pp. 9092-9103
Closed Access | Times Cited: 36
Ultra-fast and accurate electron ionization mass spectrum matching for compound identification with million-scale in-silico library
Qiong Yang, Hongchao Ji, Zhenbo Xu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 27
Interpretable Catalysis Models Using Machine Learning with Spectroscopic Descriptors
Song Wang, Jun Jiang
ACS Catalysis (2023) Vol. 13, Iss. 11, pp. 7428-7436
Closed Access | Times Cited: 24
Application of artificial intelligence in (waste)water disinfection: Emphasizing the regulation of disinfection by-products formation and residues prediction
Yizhe Ding, Qiya Sun, Yuqian Lin, et al.
Water Research (2024) Vol. 253, pp. 121267-121267
Closed Access | Times Cited: 15
Rapid classification of coffee origin by combining mass spectrometry analysis of coffee aroma with deep learning
Yang Huang, Jiawen Ai, Yanping Zhu, et al.
Food Chemistry (2024) Vol. 446, pp. 138811-138811
Closed Access | Times Cited: 9
Advances in mass spectrometry imaging for plant metabolomics—Expanding the analytical toolbox
Zhibin Yin, Wenjie Huang, Kun Li, et al.
The Plant Journal (2024) Vol. 119, Iss. 5, pp. 2168-2180
Closed Access | Times Cited: 9
Advances in the Application of Artificial Intelligence-Based Spectral Data Interpretation: A Perspective
Xi Xue, Hanyu Sun, Minjian Yang, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 37, pp. 13733-13745
Closed Access | Times Cited: 21
Imaging plant metabolism in situ
Patrick J. Horn, Kent D. Chapman
Journal of Experimental Botany (2023) Vol. 75, Iss. 6, pp. 1654-1670
Open Access | Times Cited: 21
Unified and Standardized Mass Spectrometry Data Processing in Python Using spectrum_utils
Wout Bittremieux, Lev I. Levitsky, Matteo Pilz, et al.
Journal of Proteome Research (2023) Vol. 22, Iss. 2, pp. 625-631
Open Access | Times Cited: 17
Mass Spectrometry Advancements and Applications for Biomarker Discovery, Diagnostic Innovations, and Personalized Medicine
Ahrum Son, Woojin Kim, Jongham Park, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 18, pp. 9880-9880
Open Access | Times Cited: 7
Top 20 influential AI-based technologies in chemistry
Valentine P. Ananikov
Artificial Intelligence Chemistry (2024) Vol. 2, Iss. 2, pp. 100075-100075
Open Access | Times Cited: 6
Applications of machine learning in microbial natural product drug discovery
Autumn Arnold, Jeremie Alexander, Gary Liu, et al.
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 11, pp. 1259-1272
Closed Access | Times Cited: 11
Integrating Metal–Phenolic Networks-Mediated Separation and Machine Learning-Aided Surface-Enhanced Raman Spectroscopy for Accurate Nanoplastics Quantification and Classification
Haoxin Ye, Shiyu Jiang, Yan Yan, et al.
ACS Nano (2024)
Closed Access | Times Cited: 4
Machine Learning for Reaction Performance Prediction in Allylic Substitution Enhanced by Automatic Extraction of a Substrate-Aware Descriptor
Gufeng Yu, Xi Wang, Yugong Luo, et al.
Journal of Chemical Information and Modeling (2025) Vol. 65, Iss. 1, pp. 312-325
Closed Access
Evaluation of the current methods for assigning molecular formulas to dissolved organic matter using high resolution mass spectrometry
Z. Y. Deng, Xinxia He, Wenjuan Ouyang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Discovering organic reactions with a machine-learning-powered deciphering of tera-scale mass spectrometry data
Konstantin S. Kozlov, Daniil A. Boiko, Julia V. Burykina, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Pushing Beyond the Resolution Limits of the “Brick” Miniature Mass Spectrometer Using a Deep Neural Network
Ao Wang, Baoqiang Li, Yanbing Zhai, et al.
Analytical Chemistry (2025)
Closed Access
Advancing non-target analysis of emerging environmental contaminants with machine learning: Current status and future implications
Alexa Canchola, Lang Tran, Wonsik Woo, et al.
Environment International (2025), pp. 109404-109404
Open Access
Machine learning-guided ATR-FTIR for in-depth analysis of graphene oxide dispersions
Д. О. Филатов, Ivan V. Mikheev, Мikhail А. Proskurnin
Diamond and Related Materials (2025), pp. 112352-112352
Closed Access
Machine Learning-Based Multispectral Fusion for Analyzing Molecular Structural Features
Luyuan Zhao, Mi Zhou, Jun Jiang
The Journal of Physical Chemistry Letters (2025), pp. 4382-4391
Closed Access
Machine-Learning Classification of Bacteria Using Two-Dimensional Tandem Mass Spectrometry
L. Edwin Gonzalez, Dalton T. Snyder, Harman Casey, et al.
Analytical Chemistry (2023) Vol. 95, Iss. 46, pp. 17082-17088
Closed Access | Times Cited: 9
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