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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 pilot study for fragment identification using 2D NMR and deep learning
Stefan Kühn, Eda Tumer, Simon Colreavy‐Donnelly, et al.
Magnetic Resonance in Chemistry (2021) Vol. 60, Iss. 11, pp. 1052-1060
Open Access | Times Cited: 16

Showing 16 citing articles:

Deep learning and its applications in nuclear magnetic resonance spectroscopy
Yao Luo, Xiaoxu Zheng, Mengjie Qiu, et al.
Progress in Nuclear Magnetic Resonance Spectroscopy (2025) Vol. 146-147, pp. 101556-101556
Closed Access | Times Cited: 2
Advanced technologies targeting isolation and characterization of natural products
Shu-Hui Dong, Zhi-Kang Duan, Ming Bai, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 175, pp. 117711-117711
Closed Access | Times Cited: 11
Advances in AI-based strategies and tools to facilitate natural product and drug development
Buddha Bahadur Basnet, Zhen‐Yi Zhou, Bin Wei, et al.
Critical Reviews in Biotechnology (2025), pp. 1-32
Closed Access | Times Cited: 1
Deep Learning-Based Method for Compound Identification in NMR Spectra of Mixtures
Weiwei Wei, Yuxuan Liao, Yufei Wang, et al.
Molecules (2022) Vol. 27, Iss. 12, pp. 3653-3653
Open Access | Times Cited: 30
DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Data
Hyun Woo Kim, Chen Zhang, Raphael Reher, et al.
Journal of Cheminformatics (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 21
Machine learning-assisted structure annotation of natural products based on MS and NMR data
Guilin Hu, Ming‐Hua Qiu
Natural Product Reports (2023) Vol. 40, Iss. 11, pp. 1735-1753
Closed Access | Times Cited: 17
Direct deduction of chemical class from NMR spectra
Stefan Kühn, Carlos Cobas, Agustín Barba, et al.
Journal of Magnetic Resonance (2023) Vol. 348, pp. 107381-107381
Open Access | Times Cited: 10
Can Graph Machines Accurately Estimate <sup>13</sup>C NMR Chemical Shifts of Benzenic Compounds?
François Duprat, Jean-Luc Ploix, Gérard Dreyfus
(2024)
Open Access | Times Cited: 3
SMART‐Miner: A convolutional neural network‐based metabolite identification from 1H‐13C HSQC spectra
Hyun Woo Kim, Chen Zhang, Garrison W. Cottrell, et al.
Magnetic Resonance in Chemistry (2021) Vol. 60, Iss. 11, pp. 1070-1075
Closed Access | Times Cited: 22
A data‐oriented approach to making new molecules as a student experiment: artificial intelligence‐enabling FAIR publication of NMR data for organic esters
Henry S. Rzepa, Stefan Kühn
Magnetic Resonance in Chemistry (2021) Vol. 60, Iss. 1, pp. 93-103
Open Access | Times Cited: 11
Nuclear Magnetic Resonance and Artificial Intelligence
Stefan Kühn, Rômulo Pereira de Jesus, Ricardo M. Borges
Encyclopedia (2024) Vol. 4, Iss. 4, pp. 1568-1580
Open Access | Times Cited: 1
Can Graph Machines Accurately Estimate 13C NMR Chemical Shifts of Benzenic Compounds?
François Duprat, Jean-Luc Ploix, Gérard Dreyfus
Molecules (2024) Vol. 29, Iss. 13, pp. 3137-3137
Open Access
Exploring Image Processing Tools To Unravel Complex 1H–13C Heteronuclear Single-Quantum Correlation Nuclear Magnetic Resonance Spectra: A Demonstration for Pyrolysis Liquids
Stef Ghysels, Jan Verwaeren, Hero J. Heeres, et al.
Energy & Fuels (2023) Vol. 37, Iss. 6, pp. 4446-4459
Open Access | Times Cited: 1
Structure Seer – a machine learning model for chemical structure elucidation from node labelling of a molecular graph
Denis Andzheevich Sapegin, Joseph C. Bear
Digital Discovery (2023) Vol. 3, Iss. 1, pp. 186-200
Open Access | Times Cited: 1
Advances in NMR spectroscopy of small molecules in solution
Pau Nolis
Royal Society of Chemistry eBooks (2023), pp. 74-98
Closed Access
Automated analysis for multiplet identification from ultra-high resolution 2D-1H,13C-HSQC NMR spectra
Laura Ferrante, Kashif Rajpoot, Mark Jeeves, et al.
Wellcome Open Research (2022) Vol. 7, pp. 262-262
Open Access
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