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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:

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
J. M. Górriz, Javier Ramı́rez, Andrés Ortíz, et al.
Neurocomputing (2020) Vol. 410, pp. 237-270
Open Access | Times Cited: 235

Showing 51-75 of 235 citing articles:

DSNN: A DenseNet-Based SNN for Explainable Brain Disease Classification
Ziquan Zhu, Siyuan Lu, Shuihua Wang‎, et al.
Frontiers in Systems Neuroscience (2022) Vol. 16
Open Access | Times Cited: 23
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern
C. Jiménez-Mesa, Juan E. Arco, Meritxell Valentí‐Soler, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 04
Open Access | Times Cited: 13
The Impact of Noise and Brightness on Object Detection Methods
José Antonio Rodríguez-Rodríguez, Ezequiel López‐Rubio, Juan A. Ángel-Ruiz, et al.
Sensors (2024) Vol. 24, Iss. 3, pp. 821-821
Open Access | Times Cited: 4
Ethical Considerations in AI-Powered Work Environments: A Literature Review and Theoretical Framework for Ensuring Human Dignity and Fairness
David Oyekunle, David Boohene, David Preston
International Journal of Scientific Research and Management (IJSRM) (2024) Vol. 12, Iss. 03, pp. 6166-6178
Open Access | Times Cited: 4
A systematic review of research on artificial intelligence in higher education: Practice, gaps, and future directions in the GCC
Fatma Kayan Fadlelmula, Saba Qadhi
Journal of University Teaching and Learning Practice (2024) Vol. 21, Iss. 06
Open Access | Times Cited: 4
The impact of artificial intelligence on academic work and research papers
Fernando Juca Maldonado
Deleted Journal (2024) Vol. 6, Iss. Suplemento 1, pp. 289-296
Open Access | Times Cited: 4
Comparative Analysis of Digital Economy-Driven Innovation Development in China: An International Perspective
Yafang Shi, Fuxiang Wei
Journal of the Knowledge Economy (2024)
Closed Access | Times Cited: 4
Impact of Machine Learning Pipeline Choices in Autism Prediction From Functional Connectivity Data
Manuel Graña, Moisés Silva
International Journal of Neural Systems (2020) Vol. 31, Iss. 04, pp. 2150009-2150009
Open Access | Times Cited: 34
Automatic Diagnosis of Schizophrenia in EEG Signals Using Functional Connectivity Features and CNN-LSTM Model
Afshin Shoeibi, Mitra Rezaei, Navid Ghassemi, et al.
Lecture notes in computer science (2022), pp. 63-73
Closed Access | Times Cited: 21
A Survey on Deep Learning in COVID-19 Diagnosis
Xue Han, Zuojin Hu, Shuihua Wang‎, et al.
Journal of Imaging (2022) Vol. 9, Iss. 1, pp. 1-1
Open Access | Times Cited: 21
Machine learning in small sample neuroimaging studies: Novel measures for schizophrenia analysis
C. Jiménez-Mesa, Javier Ramı́rez, Zhenghui Yi, et al.
Human Brain Mapping (2024) Vol. 45, Iss. 5
Open Access | Times Cited: 3
The Use of Technology Assisted by Artificial Intelligence Depending on the Companies’ Digital Maturity Level
G. Brătucu, Eliza Ciobanu, Ioana Bianca Chițu, et al.
Electronics (2024) Vol. 13, Iss. 9, pp. 1687-1687
Open Access | Times Cited: 3
Adaptive Learning Environments: Integrating Artificial Intelligence for Special Education Advances
Janio Jadán-Guerrero, Karla Tamayo-Narvaez, Elena Méndez, et al.
Communications in computer and information science (2024), pp. 86-94
Closed Access | Times Cited: 3
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms
Diego Aquino-Brítez, Andrés Ortíz, Julio Ortega, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2096-2096
Open Access | Times Cited: 26
Comparison of RGB-D and IMU-based gesture recognition for human-robot interaction in remanufacturing
Luis Roda-Sánchez, Celia Garrido-Hidalgo, Arturo S. García, et al.
The International Journal of Advanced Manufacturing Technology (2021) Vol. 124, Iss. 9, pp. 3099-3111
Open Access | Times Cited: 25
A wearable-based sports health monitoring system using CNN and LSTM with self-attentions
Tao Wang, Jiajia Cui, Yao Fan
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292012-e0292012
Open Access | Times Cited: 9
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities
J. M. Górriz, C. Jiménez-Mesa, Rafael Romero-García, et al.
Information Fusion (2020) Vol. 66, pp. 198-212
Open Access | Times Cited: 26
Uncertainty-Aware Semi-supervised Method using Large Unlabelled and Limited Labeled COVID-19 Data
Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi, et al.
arXiv (Cornell University) (2021)
Closed Access | Times Cited: 22
Artificial intelligence in K-12 education
Helen Crompton, Diane Burke
SN Social Sciences (2022) Vol. 2, Iss. 7
Closed Access | Times Cited: 14
Philosophical Review of Artificial Intelligence for Society 5.0
Ggaliwango Marvin, Micheal Tamale, Benjamin Kanagwa, et al.
Algorithms for intelligent systems (2023), pp. 1-15
Closed Access | Times Cited: 8
“Intelligent tutoring effects on induced emotions and cognitive load of learning-disabled learners”
Sarthika Dutt, Neelu Jyothi Ahuja
Disability and Rehabilitation Assistive Technology (2024), pp. 1-15
Closed Access | Times Cited: 2
Neuroinformatics Applications of Data Science and Artificial Intelligence
Ivo D. Dinov
Neuroinformatics (2024)
Closed Access | Times Cited: 2
Artificial intelligence and sustainable development in Africa: A comprehensive review
Ibomoiye Domor Mienye, Yanxia Sun, Emmanuel Ileberi
Machine Learning with Applications (2024), pp. 100591-100591
Open Access | Times Cited: 2
Expectation–Maximization algorithm for finite mixture of α-stable distributions
Diego Castillo-Barnés, Francisco J. Martínez-Murcia, Javier Ramı́rez, et al.
Neurocomputing (2020) Vol. 413, pp. 210-216
Closed Access | Times Cited: 21
Quantifying Differences Between Affine and Nonlinear Spatial Normalization of FP-CIT Spect Images
Diego Castillo-Barnés, C. Jiménez-Mesa, Francisco J. Martínez-Murcia, et al.
International Journal of Neural Systems (2022) Vol. 32, Iss. 05
Closed Access | Times Cited: 12

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