Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Using artificial neural networks to ask ‘why’ questions of minds and brains
Nancy Kanwisher, Meenakshi Khosla, Katharina Dobs
Trends in Neurosciences (2023) Vol. 46, Iss. 3, pp. 240-254
Open Access | Times Cited: 108

Showing 1-25 of 108 citing articles:

The neuroconnectionist research programme
Adrien Doerig, Rowan P. Sommers, Katja Seeliger, et al.
Nature reviews. Neuroscience (2023) Vol. 24, Iss. 7, pp. 431-450
Open Access | Times Cited: 130
Smart waste management: A paradigm shift enabled by artificial intelligence
David B. Olawade, Oluwaseun Fapohunda, Ojima Z. Wada, et al.
Waste Management Bulletin (2024) Vol. 2, Iss. 2, pp. 244-263
Open Access | Times Cited: 57
From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications
Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, et al.
Brain Sciences (2025) Vol. 15, Iss. 3, pp. 220-220
Open Access | Times Cited: 1
What can 1.8 billion regressions tell us about the pressures shaping high-level visual representation in brains and machines?
Colin Conwell, Jacob S. Prince, Kendrick Kay, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 50
A new approach to neural network via double hierarchy linguistic information: Application in robot selection
Yang Zhang, Saleem Abdullah, Ihsan Ullah, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107581-107581
Closed Access | Times Cited: 38
Deep Learning and Neural Networks: Decision-Making Implications
Hamed Taherdoost
Symmetry (2023) Vol. 15, Iss. 9, pp. 1723-1723
Open Access | Times Cited: 32
Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot
Kornél Katona, Husam A. Neamah, Péter Köröndi
Sensors (2024) Vol. 24, Iss. 11, pp. 3573-3573
Open Access | Times Cited: 13
Gradients of Brain Organization: Smooth Sailing from Methods Development to User Community
Jessica Royer, Casey Paquola, Sofie L. Valk, et al.
Neuroinformatics (2024)
Closed Access | Times Cited: 10
Artificial Intelligence-Based Algorithms in Medical Image Scan Segmentation and Intelligent Visual Content Generation—A Concise Overview
Zofia Rudnicka, Janusz Szczepański, Agnieszka Pręgowska
Electronics (2024) Vol. 13, Iss. 4, pp. 746-746
Open Access | Times Cited: 9
The Physical Signature of Computation
Neal G. Anderson, Gualtiero Piccinini
Oxford University Press eBooks (2024)
Closed Access | Times Cited: 7
A large-scale examination of inductive biases shaping high-level visual representation in brains and machines
Colin Conwell, Jacob S. Prince, Kendrick Kay, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 6
Behavioral signatures of face perception emerge in deep neural networks optimized for face recognition
Katharina Dobs, Joanne Yuan, Julio Martinez, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 32
Open Access | Times Cited: 14
CNNs reveal the computational implausibility of the expertise hypothesis
Nancy Kanwisher, Pranjul Gupta, Katharina Dobs
iScience (2023) Vol. 26, Iss. 2, pp. 105976-105976
Open Access | Times Cited: 13
The perceptual primacy of feeling: Affectless visual machines explain a majority of variance in human visually evoked affect
Colin Conwell, Daniel W. Graham, Chelsea Boccagno, et al.
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 4
Open Access
Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition
Pranjul Gupta, Katharina Dobs
PLoS Computational Biology (2025) Vol. 21, Iss. 1, pp. e1012751-e1012751
Open Access
Animal models of the human brain: Successes, limitations, and alternatives
Nancy Kanwisher
Current Opinion in Neurobiology (2025) Vol. 90, pp. 102969-102969
Closed Access
A study comparing energy consumption and environmental emissions in ostrich meat and egg production
Behrooz Behboodi, Mohammad Gholami Parashkoohi, Davood Mohammad Zamani, et al.
Journal of Agricultural Engineering (2025) Vol. 56, Iss. 1
Open Access
Non-bifurcation regulation of chaos in a memristive Hopfield neural network
Xin Zhang, Chunbiao Li, Irene M. Moroz, et al.
Nonlinear Dynamics (2025)
Closed Access
Analysis of artificial neural network based on pq-rung orthopair fuzzy linguistic muirhead mean operators
Long Zhou, Saleem Abdullah, Hamza Zafar, et al.
Expert Systems with Applications (2025), pp. 127157-127157
Closed Access
Hybrid Approach based Optimal Low Voltage Ride through Capability in DFIG-Based Wind Energy Systems
G. Angala Parameswari, G. Arunsankar
Energy (2025), pp. 135541-135541
Closed Access
Explanatory models in neuroscience, Part 2: Functional intelligibility and the contravariance principle
Rosa Cao, Daniel Yamins
Cognitive Systems Research (2023) Vol. 85, pp. 101200-101200
Closed Access | Times Cited: 12
Deep learning models challenge the prevailing assumption that face-like effects for objects of expertise support domain-general mechanisms
Galit Yovel, Idan Grosbard, Naphtali Abudarham
Proceedings of the Royal Society B Biological Sciences (2023) Vol. 290, Iss. 1998
Closed Access | Times Cited: 10
Human-Like Modulation Sensitivity Emerging through Optimization to Natural Sound Recognition
Takuya Koumura, Hiroki Terashima, Shigeto Furukawa
Journal of Neuroscience (2023) Vol. 43, Iss. 21, pp. 3876-3894
Open Access | Times Cited: 9
Conclusions about Neural Network to Brain Alignment are Profoundly Impacted by the Similarity Measure
Ansh Soni, Sudhanshu Srivastava, Konrad P. Körding, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Supervised machine learning for jamming transition in traffic flow with fluctuations in acceleration and braking
Naveed Ahmad Khan, Ghaylen Laouini, Fahad Sameer Alshammari, et al.
Computers & Electrical Engineering (2023) Vol. 109, pp. 108740-108740
Closed Access | Times Cited: 8
Page 1 - Next Page

Scroll to top