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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 1-25 of 62 citing articles:

Quantifying the electrochemical active site density of precious metal-free catalysts in situ in fuel cells
Rifael Z. Snitkoff‐Sol, Ariel Friedman, Hilah C. Honig, et al.
Nature Catalysis (2022) Vol. 5, Iss. 2, pp. 163-170
Open Access | Times Cited: 117
Direct measurement of the oxygen reduction reaction kinetics on iron phthalocyanine using advanced transient voltammetry
Rifael Z. Snitkoff‐Sol, Or Rimon, Alan M. Bond, et al.
Nature Catalysis (2024) Vol. 7, Iss. 2, pp. 139-147
Closed Access | Times Cited: 31
Machine learning and chemometrics for electrochemical sensors: moving forward to the future of analytical chemistry
Pumidech Puthongkham, Supacha Wirojsaengthong, Akkapol Suea‐Ngam
The Analyst (2021) Vol. 146, Iss. 21, pp. 6351-6364
Closed Access | Times Cited: 78
Machine learning in fundamental electrochemistry: Recent advances and future opportunities
Haotian Chen, Enno Kätelhön, Richard G. Compton
Current Opinion in Electrochemistry (2023) Vol. 38, pp. 101214-101214
Open Access | Times Cited: 35
Closed-Loop Navigation of a Kinetic Zone Diagram for Redox-Mediated Electrocatalysis Using Bayesian Optimization, a Digital Twin, and Automated Electrochemistry
Michael A. Pence, Gavin Hazen, Joaquín Rodríguez‐López
Analytical Chemistry (2025)
Closed Access | Times Cited: 1
From materials discovery to system optimization by integrating combinatorial electrochemistry and data science
Helge S. Stein, Alexey O. Sanin, Fuzhan Rahmanian, et al.
Current Opinion in Electrochemistry (2022) Vol. 35, pp. 101053-101053
Closed Access | Times Cited: 37
Advanced Spatiotemporal Voltammetric Techniques for Kinetic Analysis and Active Site Determination in the Electrochemical Reduction of CO2
Si‐Xuan Guo, Cameron L. Bentley, Minkyung Kang, et al.
Accounts of Chemical Research (2022) Vol. 55, Iss. 3, pp. 241-251
Closed Access | Times Cited: 36
A machine learning-based multimodal electrochemical analytical device based on eMoSx-LIG for multiplexed detection of tyrosine and uric acid in sweat and saliva
Vinay Kammarchedu, Derrick Butler, Aida Ebrahimi
Analytica Chimica Acta (2022) Vol. 1232, pp. 340447-340447
Open Access | Times Cited: 36
Electrochemical Mechanistic Analysis from Cyclic Voltammograms Based on Deep Learning
Benjamin B. Hoar, Weitong Zhang, Shuangning Xu, et al.
ACS Measurement Science Au (2022) Vol. 2, Iss. 6, pp. 595-604
Open Access | Times Cited: 31
Opportunities and challenges in applying machine learning to voltammetric mechanistic studies
Alan M. Bond, Jie Zhang, Luke Gundry, et al.
Current Opinion in Electrochemistry (2022) Vol. 34, pp. 101009-101009
Closed Access | Times Cited: 25
Discovering Electrochemistry with an Electrochemistry‐Informed Neural Network (ECINN)
Haotian Chen, Minjun Yang, Bedřich Smetana, et al.
Angewandte Chemie International Edition (2024) Vol. 63, Iss. 13
Open Access | Times Cited: 5
Maximizing Electrochemical Information: A Perspective on Background-Inclusive Fast Voltammetry
Cameron S. Movassaghi, Miguel Alcañíz, Kenneth T. Kishida, et al.
Analytical Chemistry (2024) Vol. 96, Iss. 16, pp. 6097-6105
Open Access | Times Cited: 5
What and how can machine learning help to decipher mechanisms in molecular electrochemistry?
Jingwen Sun, Chong Liu
Current Opinion in Electrochemistry (2023) Vol. 39, pp. 101306-101306
Open Access | Times Cited: 13
Practical Guide to Large Amplitude Fourier-Transformed Alternating Current Voltammetry─What, How, and Why
Natalia G. Baranska, Bryn Jones, Mark R. Dowsett, et al.
ACS Measurement Science Au (2024) Vol. 4, Iss. 4, pp. 418-431
Open Access | Times Cited: 4
AI-Based Discrimination of Faradaic Current against Nonfaradaic Current Inspired by Speech Denoising
Long Duong Ha, Seongpil Hwang
Analytical Chemistry (2025)
Closed Access
Applying Machine Learning to Predict Electron Transfer Kinetics from Voltammetry Experiments
Austen C. Adams, Melodee O. Seifi, Ashan P. Wettasinghe, et al.
ChemPlusChem (2025)
Closed Access
ElectroKitty: A Python Tool for Modeling Electrochemical Data Including Non-Langmuir Adsorption
Ožbej Vodeb, Pedro Farinazzo Bergamo Dias Martins, Dušan Strmčnik, et al.
ACS electrochemistry. (2025)
Open Access
Facilitating Electroactive Site Density Determination during Fuel‐Cell Testing
Rifael Z. Snitkoff‐Sol, Lior Elbaz
ChemElectroChem (2025)
Open Access
Modeling ionic conductivity and activation energy in garnet-structured solid electrolytes: The role of composition, grain boundaries and processing
Natalia Kireeva, А. Yu. Tsivadze, В. С. Первов
Solid State Ionics (2023) Vol. 399, pp. 116293-116293
Closed Access | Times Cited: 10
Key requirements for advancing machine learning approaches in single entity electrochemistry
Viacheslav Shkirskiy, Frédéric Kanoufi
Current Opinion in Electrochemistry (2024) Vol. 46, pp. 101526-101526
Open Access | Times Cited: 3
SeroWare: An Open-Source Software Suite for Voltammetry Data Acquisition and Analysis
Cameron S. Movassaghi, Rahul Iyer, Michael Curry, et al.
ACS Chemical Neuroscience (2025) Vol. 16, Iss. 5, pp. 856-867
Open Access
Simultaneous serotonin and dopamine monitoring across timescales by rapid pulse voltammetry with partial least squares regression
Cameron S. Movassaghi, Katie A. Perrotta, Hongyan Yang, et al.
Analytical and Bioanalytical Chemistry (2021) Vol. 413, Iss. 27, pp. 6747-6767
Open Access | Times Cited: 22
An Autonomous Electrochemical Discovery Robot that Utilises Probabilistic Algorithms: Probing the Redox Behaviour of Inorganic Materials
Kristine Laws, Marcus Tze‐Kiat Ng, Abhishek Sharma, et al.
ChemElectroChem (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 9
Fourier-Transformed Alternating Current Voltammetry (FTacV) for Analysis of Electrocatalysts
Rifael Z. Snitkoff‐Sol, Alan M. Bond, Lior Elbaz
ACS Catalysis (2024) Vol. 14, Iss. 10, pp. 7576-7588
Closed Access | Times Cited: 3
Microelectrode-Based Sensor for Measuring Operando Active Species Concentrations in Redox Flow Cells
Bertrand J. Neyhouse, Kevin M. Tenny, Yet‐Ming Chiang, et al.
ACS Applied Energy Materials (2021) Vol. 4, Iss. 12, pp. 13830-13840
Open Access | Times Cited: 16
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