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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:

Recent advances and future perspectives for automated parameterisation, Bayesian inference and machine learning in voltammetry
Luke Gundry, Si‐Xuan Guo, Gareth F. Kennedy, et al.
Chemical Communications (2021) Vol. 57, Iss. 15, pp. 1855-1870
Open Access | Times Cited: 62

Showing 26-50 of 62 citing articles:

Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?
Aleksei Makogon, Frédéric Kanoufi, Viacheslav Shkirskiy
ChemElectroChem (2024) Vol. 11, Iss. 7
Open Access | Times Cited: 2
Self-Optimizing Bayesian for Continuous Flow Synthesis Process
Runzhe Liu, Zihao Wang, Wenbo Yang, et al.
Digital Discovery (2024)
Open Access | Times Cited: 2
Inclusion of multiple cycling of potential in the deep neural network classification of voltammetric reaction mechanisms
Luke Gundry, Gareth F. Kennedy, Alan M. Bond, et al.
Faraday Discussions (2021) Vol. 233, pp. 44-57
Closed Access | Times Cited: 15
A Comparison of Bayesian Inference Strategies for Parameterisation of Large Amplitude AC Voltammetry Derived from Total Current and Fourier Transformed Versions
Luke Gundry, Gareth F. Kennedy, Jonathan M. Keith, et al.
ChemElectroChem (2021) Vol. 8, Iss. 12, pp. 2238-2258
Open Access | Times Cited: 14
Electrochemical sensors coupled with machine learning for food safety and quality inspection
Gabriella Magarelli, Alessandra Maia Freire, Luciano Paulino Silva
Elsevier eBooks (2023), pp. 171-200
Closed Access | Times Cited: 5
While educating electrochemists, do not forget we live in a computer era
Lesław K. Bieniasz
Journal of Solid State Electrochemistry (2023) Vol. 28, Iss. 3-4, pp. 911-920
Open Access | Times Cited: 5
Establishing zone regions in cyclic voltammetry using unsupervised machine learning
Luke Gundry, Gareth F. Kennedy, Alan M. Bond, et al.
Journal of Electroanalytical Chemistry (2023) Vol. 942, pp. 117551-117551
Closed Access | Times Cited: 5
The effect of chelators on additives in the surface characterization and electrochemical properties of an eco-friendly electroless copper nano deposition
Suseela Jayalakshmi, Raja Venkatesan, Simon Deepa, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 5
Intrinsic properties of nanoparticulate Ir-based catalysts for oxygen evolution reaction by AC voltammetry
Ožbej Vodeb, Anja Lončar, Marjan Bele, et al.
Electrochimica Acta (2023) Vol. 464, pp. 142882-142882
Open Access | Times Cited: 5
Quantitative analysis of the electrochemical performance of multi-redox molecular electrocatalysts. A mechanistic study of chlorate electrocatalytic reduction in presence of a molybdenium polyoxometalate
Joaquı́n González, Esteban Guillén, Eduardo Laborda, et al.
Journal of Catalysis (2022) Vol. 413, pp. 467-477
Open Access | Times Cited: 8
Using voltammetry augmented with physics-based modeling and Bayesian hypothesis testing to identify analytes in electrolyte solutions
Alexis M. Fenton, Fikile R. Brushett
Journal of Electroanalytical Chemistry (2021) Vol. 904, pp. 115751-115751
Open Access | Times Cited: 10
Discovering Electrochemistry with an Electrochemistry‐Informed Neural Network (ECINN)
Haotian Chen, Minjun Yang, Bedřich Smetana, et al.
Angewandte Chemie (2024) Vol. 136, Iss. 13
Open Access | Times Cited: 1
Key Requirements for Advancing Machine Learning Approaches in Single Entity Electrochemistry
Viacheslav Shkirskiy, Frédéric Kanoufi
(2024)
Open Access | Times Cited: 1
Redox-detecting deep learning for mechanism discernment in multi-redox cyclic voltammograms
Benjamin B. Hoar, Weitong Zhang, Yuanzhou Chen, et al.
(2024)
Open Access | Times Cited: 1
Redox-Detecting Deep Learning for Mechanism Discernment in Cyclic Voltammograms of Multiple Redox Events
Benjamin B. Hoar, Weitong Zhang, Yuanzhou Chen, et al.
ACS electrochemistry. (2024) Vol. 1, Iss. 1, pp. 52-62
Open Access | Times Cited: 1
Disruption Dynamics and Charge Transfer of a Single Attoliter Emulsion Droplet Revealed by Combined Fast-Scan Sinusoidal Voltammetry and Short Time Fourier Transform Analysis
Long Duong Ha, Heekyung Park, Thanh Duc Dinh, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 45, pp. 18150-18160
Closed Access | Times Cited: 1
Machine Learning for Estimating Electron Transfer Rates From Square Wave Voltammetry
Austen C. Adams, Sauraj Jha, David J. Lary, et al.
ChemPlusChem (2021) Vol. 87, Iss. 1
Open Access | Times Cited: 9
A Voltammetric Perspective of Multi-Electron and Proton Transfer in Protein Redox Chemistry: Insights From Computational Analysis of Escherichia coli HypD Fourier Transformed Alternating Current Voltammetry
Alister R. Dale‐Evans, Martin Robinson, Henry Lloyd-Laney, et al.
Frontiers in Chemistry (2021) Vol. 9
Open Access | Times Cited: 8
Leveraging graphical models to enhance in situ analyte identification via multiple voltammetric techniques
Alexis M. Fenton, Fikile R. Brushett
Journal of Electroanalytical Chemistry (2023) Vol. 936, pp. 117299-117299
Open Access | Times Cited: 3
Pattern recognition assisted linear sweep voltammetry sensor for analysis of tea quality
Pei Wei, Zheng Wang
International Journal of Electrochemical Science (2023) Vol. 18, Iss. 10, pp. 100275-100275
Open Access | Times Cited: 3
Object-detecting deep learning for mechanism discernment in multi-redox cyclic voltammograms
Benjamin B. Hoar, Weitong Zhang, Yuanzhou Chen, et al.
(2023)
Open Access | Times Cited: 3
Theoretical-experimental synergy towards better understanding of interfacial electron transfer kinetics
Eduardo Laborda
Current Opinion in Electrochemistry (2022) Vol. 34, pp. 101028-101028
Open Access | Times Cited: 5
Efficient and highly accurate calculation of chronoamperometric currents for the CrevErev and 2
Theory and highly accurate computation of nonlimiting chronoamperometric currents for theErevCirrreaction …
Lesław K. Bieniasz
Journal of Electroanalytical Chemistry (2021) Vol. 895, pp. 115410-115410
Closed Access | Times Cited: 5
A microelectrode-based sensor for measuring operando active species concentrations in redox flow cells
Bertrand J. Neyhouse, Kevin M. Tenny, Yet‐Ming Chiang, et al.
(2021)
Open Access | Times Cited: 4

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