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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:

A deep generative model enables automated structure elucidation of novel psychoactive substances
Michael A. Skinnider, Fei Wang, Daniel Pasin, et al.
Nature Machine Intelligence (2021) Vol. 3, Iss. 11, pp. 973-984
Closed Access | Times Cited: 55

Showing 1-25 of 55 citing articles:

MSNovelist: de novo structure generation from mass spectra
Michael A. Stravs, Kai Dührkop, Sebastian Böcker, et al.
Nature Methods (2022) Vol. 19, Iss. 7, pp. 865-870
Open Access | Times Cited: 115
AI is a viable alternative to high throughput screening: a 318-target study
Izhar Wallach, Denzil Bernard, Kong T. Nguyen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 44
Invalid SMILES are beneficial rather than detrimental to chemical language models
Michael A. Skinnider
Nature Machine Intelligence (2024) Vol. 6, Iss. 4, pp. 437-448
Open Access | Times Cited: 17
A smile is all you need: predicting limiting activity coefficients from SMILES with natural language processing
Benedikt Winter, Clemens Winter, Johannes Schilling, et al.
Digital Discovery (2022) Vol. 1, Iss. 6, pp. 859-869
Open Access | Times Cited: 55
Data-Driven Elucidation of Flavor Chemistry
Xingran Kou, Peiqin Shi, Chukun Gao, et al.
Journal of Agricultural and Food Chemistry (2023) Vol. 71, Iss. 18, pp. 6789-6802
Open Access | Times Cited: 28
Deep Learning-Assisted Spectrum–Structure Correlation: State-of-the-Art and Perspectives
Xinyu Lu, Hao-Ping Wu, Hao Ma, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 20, pp. 7959-7975
Closed Access | Times Cited: 10
MassGenie: A Transformer-Based Deep Learning Method for Identifying Small Molecules from Their Mass Spectra
Aditya Shrivastava, Neil Swainston, Soumitra Samanta, et al.
Biomolecules (2021) Vol. 11, Iss. 12, pp. 1793-1793
Open Access | Times Cited: 55
Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly
Seonghwan Seo, Jaechang Lim, Woo Youn Kim
Advanced Science (2023) Vol. 10, Iss. 8
Open Access | Times Cited: 21
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
Identification of new psychoactive substances and their metabolites using non-targeted detection with high-resolution mass spectrometry through diagnosing fragment ions/neutral loss analysis
José Manuel Matey, Félix Zapata, Luis Manuel Menéndez-Quintanal, et al.
Talanta (2023) Vol. 265, pp. 124816-124816
Closed Access | Times Cited: 20
67 million natural product-like compound database generated via molecular language processing
Dillon W. P. Tay, Naythan Yeo, Krishnan Adaikkappan, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 19
Synthetic biology advances towards a bio-based society in the era of artificial intelligence
Attia Iram, Yueming Dong, Codruţa Ignea
Current Opinion in Biotechnology (2024) Vol. 87, pp. 103143-103143
Open Access | Times Cited: 8
Developments in high-resolution mass spectrometric analyses of new psychoactive substances
Joshua Klingberg, Bethany Keen, Adam Cawley, et al.
Archives of Toxicology (2022) Vol. 96, Iss. 4, pp. 949-967
Open Access | Times Cited: 23
Forensic drug screening by liquid chromatography hyphenated with high-resolution mass spectrometry (LC-HRMS)
Pia Johansson Heinsvig, Carolina Noble, Petur Weihe Dalsgaard, et al.
TrAC Trends in Analytical Chemistry (2023) Vol. 162, pp. 117023-117023
Open Access | Times Cited: 13
Machine Learning-Assisted Rapid Screening of Four Types of New Psychoactive Substances in Drug Seizures
Yuqing Yang, Dongping Liu, Zhendong Hua, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 3, pp. 815-825
Closed Access | Times Cited: 11
Critical review on in silico methods for structural annotation of chemicals detected with LC/HRMS non-targeted screening
Henrik Hupatz, Ida Rahu, Wei‐Chieh Wang, et al.
Analytical and Bioanalytical Chemistry (2024)
Open Access | Times Cited: 4
Current approaches and outstanding challenges of functional annotation of metabolites: a comprehensive review
Quang‐Huy Nguyen, Ha Nam Nguyen, Edwin C. Oh, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 4
Ethical Frameworks for Data-Driven Environmental Health Studies in the AI Era
Miao Yu, Mingliang Fang, Bin Wang
Environment & Health (2025)
Open Access
The analytical tools for new psychoactive substances identification and quantification
D. Gallart-Mateu, Miguel de la Guárdia
Comprehensive 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
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
Noncovalent Interaction-Based Probe Design for PET-Facilitated Fluorescence Sensing of Synthetic Cannabinoids
Jiahao Dong, Chuanfang Zhao, Jinliang Ning, et al.
ACS Omega (2025)
Open Access
InertDB as a generative AI-expanded resource of biologically inactive small molecules from PubChem
Seungchan An, Yeonjin Lee, Junpyo Gong, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
Progressing microbial genomics: Artificial intelligence and deep learning driven advances in genome analysis and therapeutics
R. Dhaarani, M. Kiranmai Reddy
Intelligence-Based Medicine (2025), pp. 100251-100251
Open Access
AI Methods for New Psychoactive Substance (NPS) Design and Analysis
Enrico Greco
Analytica—A Journal of Analytical Chemistry and Chemical Analysis (2025) Vol. 6, Iss. 2, pp. 17-17
Open Access
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