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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:

Inductive biases for deep learning of higher-level cognition
Anirudh Goyal, Yoshua Bengio
Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2022) Vol. 478, Iss. 2266
Open Access | Times Cited: 168

Showing 76-100 of 168 citing articles:

Cohabitation of Intelligence and Systems: Towards Self-reference in Digital Anatomies
Andrea Morichetta, Anna Lackinger, Schahram Dustdar
(2024), pp. 102-110
Closed Access | Times Cited: 1
A survey on cell nuclei instance segmentation and classification: Leveraging context and attention
João D. Nunes, Diana Montezuma, Domingos Sávio Ferreira de Oliveira, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103360-103360
Open Access | Times Cited: 1
An inductive bias from quantum mechanics: learning order effects with non-commuting measurements
Kaitlin Gili, Guillermo Alonso, Maria Schuld
Quantum Machine Intelligence (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 1
Disentangled representations for causal cognition
Filippo Torresan, Manuel Baltieri
Physics of Life Reviews (2024) Vol. 51, pp. 343-381
Open Access | Times Cited: 1
Commonsense for AI: an interventional approach to explainability and personalization
Fariborz Farahmand
AI & Society (2024)
Closed Access | Times Cited: 1
Fast and Slow Learning of Recurrent Independent Mechanisms
Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 10
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers
Zhuang Li, Lizhen Qu, Gholamreza Haffari
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021), pp. 3816-3831
Open Access | Times Cited: 10
Transformers with Competitive Ensembles of Independent Mechanisms
Alex Lamb, Di He, Anirudh Goyal, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 8
H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences
Zhenhai Zhu, Radu Soricut
(2021)
Open Access | Times Cited: 8
Dynamic Inference with Neural Interpreters
Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 8
Causal Discovery and Knowledge Injection for Contestable Neural Networks
F. Russo, Francesca Toni
Frontiers in artificial intelligence and applications (2023)
Open Access | Times Cited: 3
Employing automatic content recognition for teaching methodology analysis in classroom videos
Muhammad Aasim Rafique, Faheem Khaskheli, Malik Tahir Hassan, et al.
PLoS ONE (2022) Vol. 17, Iss. 2, pp. e0263448-e0263448
Open Access | Times Cited: 5
The shape and simplicity biases of adversarially robust ImageNet-trained CNNs
Peijie Chen, Chirag Agarwal, Anh‐Tu Nguyen
arXiv (Cornell University) (2020)
Open Access | Times Cited: 7
Toward understanding the neural code of the brain
Christoph von der Malsburg
Biological Cybernetics (2021) Vol. 115, Iss. 5, pp. 439-449
Open Access | Times Cited: 7
ChaRRNets: Channel Robust Representation Networks for RF Fingerprinting
Carter N. Brown, Enrico Mattei, Andrew Draganov
arXiv (Cornell University) (2021)
Open Access | Times Cited: 6
Graph representation learning for structural proteomics.
Romanos Fasoulis, Γεώργιος Παλιούρας, Lydia E. Kavraki
Emerging Topics in Life Sciences (2021)
Closed Access | Times Cited: 6
Deep Learning in Medical Image Registration: Introduction and Survey
Ahmad Hammoudeh, Stéphane Dupont
(2023)
Open Access | Times Cited: 2
Deep Learning in Medical Image Registration: Introduction and Survey
Ahmad Hammoudeh, Stéphane Dupont
(2023)
Open Access | Times Cited: 2
An Explainable and Personalized Cognitive Reasoning Model Based on Knowledge Graph: Toward Decision Making for General Practice
Qianghua Liu, Yu Tian, Tianshu Zhou, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 2, pp. 707-718
Closed Access | Times Cited: 2
FairShare: An Incentive-Based Fairness-Aware Data Sharing Framework for Federated Learning
Liyuan Liu, Ying Kong, Gaolei Li, et al.
Lecture notes in computer science (2023), pp. 115-126
Closed Access | Times Cited: 2
Deep Contrastive Clustering via Hard positive sample Debiased
Xinyu Zhang, Huiying Xu, Xinzhong Zhu, et al.
Neurocomputing (2023) Vol. 570, pp. 127147-127147
Closed Access | Times Cited: 2
Guiding Video Prediction with Explicit Procedural Knowledge
Patrick Takenaka, Johannes Maucher, Marco F. Huber
(2023), pp. 1076-1084
Open Access | Times Cited: 2
nuScenes Knowledge Graph - A comprehensive semantic representation of traffic scenes for trajectory prediction
Leon Mlodzian, Zhigang Sun, Hendrik Berkemeyer, et al.
(2023), pp. 42-52
Open Access | Times Cited: 2
Should attention be all we need? The epistemic and ethical implications of unification in machine learning
Nic Fishman, Leif Hancox-Li
2022 ACM Conference on Fairness, Accountability, and Transparency (2022), pp. 1516-1527
Open Access | Times Cited: 4
Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments
Benjamin Alt, Darko Katić, Rainer Jäkel, et al.
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2022), pp. 8887-8893
Open Access | Times Cited: 4

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