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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:

Machine Learning Based Diagnosis of Diseases Using the Unfolded EEG Spectra: Towards an Intelligent Software Sensor
Ricardo Buettner, Thilo Rieg, Janek Frick
Lecture notes in information systems and organisation (2019), pp. 165-172
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Development of a Machine Learning Based Algorithm To Accurately Detect Schizophrenia based on One-minute EEG Recordings
Ricardo Buettner, David Beil, Stefanie Scholtz, et al.
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2020)
Open Access | Times Cited: 87
Efficient machine learning based detection of heart disease
Ricardo Buettner, Marc Schunter
(2019), pp. 1-6
Closed Access | Times Cited: 66
High-performance exclusion of schizophrenia using a novel machine learning method on EEG data
Ricardo Buettner, Michael Hirschmiller, Kevin M. Schlosser, et al.
(2019), pp. 1-6
Closed Access | Times Cited: 59
A Systematic Literature Review of Medical Chatbot Research from a Behavior Change Perspective
Tobias Gentner, Timon Neitzel, Jacob Schulze, et al.
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2020), pp. 735-740
Closed Access | Times Cited: 39
High-performance Diagnosis of Sleep Disorders: A Novel, Accurate and Fast Machine Learning Approach Using Electroencephalographic Data
Ricardo Buettner, Annika Grimmeisen, Anne Gotschlich
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2020)
Open Access | Times Cited: 36
Biosymbiotic, personalized, and digitally manufactured wireless devices for indefinite collection of high-fidelity biosignals
Tucker Stuart, Kevin Albert Kasper, Ifechukwude Christian Iwerunmor, et al.
Science Advances (2021) Vol. 7, Iss. 41
Open Access | Times Cited: 30
Development of a Highly Precise Place Recognition Module for Effective Human-robot Interactions in Changing Lighting and Viewpoint Conditions
Hermann Baumgartl, Ricardo Buettner
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2020)
Open Access | Times Cited: 30
Liver cancer prediction in a viral hepatitis cohort: A deep learning approach
Dinh‐Van Phan, Chien‐Lung Chan, Ai‐Hsien Adams Li, et al.
International Journal of Cancer (2020) Vol. 147, Iss. 10, pp. 2871-2878
Open Access | Times Cited: 28
The Impact of Trust in Consumer Protection on Internet Shopping Behavior: An Empirical Study using a Large Official Dataset from the European Union
Ricardo Buettner
(2020), pp. 66-69
Closed Access | Times Cited: 24
Identification of selection and inhibition components in a Go/NoGo task from EEG spectra using a machine learning classifier
Bambi DeLaRosa, Jeffrey S. Spence, Michael A. Motes, et al.
Brain and Behavior (2020) Vol. 10, Iss. 12
Open Access | Times Cited: 19
High-Performance Detection of Corneal Ulceration Using Image Classification with Convolutional Neural Networks
Jan Gross, Johannes Breitenbach, Hermann Baumgartl, et al.
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2021)
Open Access | Times Cited: 17
A Systematic Literature Review of Practical Virtual and Augmented Reality Solutions in Surgery
Jonas Roessel, Moritz Knoell, Jannic Hofmann, et al.
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2020), pp. 489-498
Closed Access | Times Cited: 12
A Review of Virtual Reality and Augmented Reality Literature in Healthcare
Ricardo Buettner, Hermann Baumgartl, Tim Konle, et al.
(2020), pp. 1-6
Closed Access | Times Cited: 11
Measuring Extraversion Using EEG Data
Hermann Baumgartl, Samuel Bayerlein, Ricardo Buettner
Lecture notes in information systems and organisation (2020), pp. 259-265
Closed Access | Times Cited: 10
Internet Gaming more than 3 Hours a Day is Indicative and more than 5 Hours is Diagnostic: Proposal of Playing Time Cutoffs for WHO-11 and DSM-5 Internet Gaming Disorder Based on a Large Steam Platform Dataset
Ricardo Buettner, Martin Blattner, Willi Reinhardt
(2020), pp. 189-192
Closed Access | Times Cited: 9
A Systematic Literature Review of Research in the Surgical Field of Medical Robotics
Ricardo Buettner, Alena Renner, Anna Boos
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2020), pp. 517-522
Closed Access | Times Cited: 9
RFID Tracking and Localization Technologies in Healthcare
Ricardo Buettner, Timon Clauss, Minh Thuan Huynh, et al.
(2020), pp. 1-5
Closed Access | Times Cited: 9
Power Spectral Differences between Transient Epileptic and Global Amnesia: An eLORETA Quantitative EEG Study
Jacopo Lanzone, Claudio Imperatori, Giovanni Assenza, et al.
Brain Sciences (2020) Vol. 10, Iss. 9, pp. 613-613
Open Access | Times Cited: 8
Optimization of Accounting Information System for Enterprises in Smart City by Intelligent Sensor under the Internet of Things
Xiaoguang Li
Wireless Communications and Mobile Computing (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 5
A Systematic Literature Review of Machine Learning-Based Disease Profiling and Personalized Treatment
Ricardo Buettner, Florian Klenk, Marc Ebert
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2020), pp. 1673-1678
Closed Access | Times Cited: 6
Detection of schizophrenia: A machine learning algorithm for potential early detection and prevention based on event-related potentials
Janek Frick, Thilo Rieg, Ricardo Buettner
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2021)
Open Access | Times Cited: 6
Machine Learning Based Diagnostics of Developmental Coordination Disorder using Electroencephalographic Data
Ricardo Buettner, Michael Buechele, Benedikt Grimmeisen, et al.
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2021)
Open Access | Times Cited: 4
Machine Learning-Based Diagnosis of Epilepsy in Clinical Routine: Lessons Learned from a Retrospective Pilot Study
Thilo Rieg, Janek Frick, Ricardo Buettner
Lecture notes in information systems and organisation (2020), pp. 276-283
Closed Access | Times Cited: 3
Detection of Epilepsy patients using coot optimization based feed forward multilayer neural network
Neeraj Nagwanshi, Anjali Potnis
Journal of Experimental & Theoretical Artificial Intelligence (2023), pp. 1-26
Closed Access | Times Cited: 1
A Review of the Frontier Application of EEG Technology Abroad
秋云 陈
Advances in Clinical Medicine (2023) Vol. 13, Iss. 09, pp. 14653-14663
Closed Access | Times Cited: 1
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