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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:

Computational Foundations of Natural Intelligence
Marcel van Gerven
bioRxiv (Cold Spring Harbor Laboratory) (2017)
Open Access | Times Cited: 17

Showing 17 citing articles:

Text mining of industry 4.0 job advertisements
Mirjana Pejić Bach, Tine Bertoncel, Maja Meško, et al.
International Journal of Information Management (2019) Vol. 50, pp. 416-431
Closed Access | Times Cited: 206
Transferring and generalizing deep-learning-based neural encoding models across subjects
Haiguang Wen, Junxing Shi, Wei Chen, et al.
NeuroImage (2018) Vol. 176, pp. 152-163
Open Access | Times Cited: 32
Will We Ever Have Conscious Machines?
Patrick Krauß, Andreas Maier
Frontiers in Computational Neuroscience (2020) Vol. 14
Open Access | Times Cited: 10
Identification of Indian Butterflies and Moths with Deep Convolutional Neural Networks x
Vidya Sagar, R. Sachin, K. Chandrashekara, et al.
Current Science (2020) Vol. 118, Iss. 9, pp. 1456-1456
Open Access | Times Cited: 7
Early Warning Systems in Industry 4.0: A Bibliometric and Topic Analysis
Tine Bertoncel, Maja Meško
International Journal of E-Services and Mobile Applications (2019) Vol. 11, Iss. 2, pp. 56-70
Closed Access | Times Cited: 6
Theoretical Aspects of Consumer Metrics for Safety & Privacy
Thomas Fehlmann, Eberhard Kranich
Communications in computer and information science (2018), pp. 640-653
Closed Access | Times Cited: 5
Transferring and Generalizing Deep-Learning-based Neural Encoding Models across Subjects
Haiguang Wen, Junxing Shi, Wei Chen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2017)
Open Access | Times Cited: 4
A Dynamical Systems Approach to Optimal Foraging
Siddharth Chaturvedi, Ahmed M. El‐Gazzar, Marcel van Gerven
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Eight challenges in developing theory of intelligence
Haiping Huang
arXiv (Cornell University) (2023)
Open Access | Times Cited: 1
Implications of Sampling Methods on Geospatial Mapping of Methane Sources
Dakota Wesley Oliver
(2019)
Open Access | Times Cited: 2
Graceful Degradation of Recurrent Neural Networks as a Function of Network Size, Memory Length, and Connectivity Damage
Cecilia Gisele Jarne, Rodrigo Laje
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1
Artificial Intelligence for Nanostructured Materials
Zaira Gadzhimagomedova, D. M. Pashkov, D. Yu. Kirsanova, et al.
Nanobiotechnology Reports (2022) Vol. 17, Iss. 1, pp. 1-9
Closed Access | Times Cited: 1
Análisis de patrones en señales musculares de extremidad superior mediante técnicas de Machine Learning
Juan-Manuel Gutiérrez-Cárdenas
(2019)
Open Access
A Study of Content-Based Recognition of Speech Utterance
Yusra Shafi, Satish Saini
International Journal for Research in Applied Science and Engineering Technology (2022) Vol. 10, Iss. 4, pp. 480-488
Open Access
Novel Domain Knowledge Encoding Enables Machine Learning of Rapid, Expert-level Segmentation of Cardiac Computed Tomography
Ruibin Feng, Brototo Deb, Prasanth Ganesan, et al.
Research Square (Research Square) (2022)
Open Access
META-SUBJECTIVE NATURE OF COLLECTIVE INTELLIGENCE: ONTOLOGICAL ANALYSIS
Anton I. Zhelnin
Intellect Innovations Investments (2021), Iss. 5, pp. 91-103
Open Access
Análise forense de plataformas digitais para detecção de notícias falsas e ataques de phishing mediante decomposição de textos
Stephane de Freitas Schwarz
(2021)
Open Access
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