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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:

The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence
Gary Marcus
arXiv (Cornell University) (2020)
Open Access | Times Cited: 229

Showing 1-25 of 229 citing articles:

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Patrick Lewis, Ethan Perez, Aleksandara Piktus, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 1480
Deep Learning Based Text Classification: A Comprehensive Review
Shervin Minaee, Nal Kalchbrenner, Erik Cambria, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 323
Discovering Symbolic Models from Deep Learning with Inductive Biases
Miles Cranmer, Álvaro Sánchez‐González, Peter Battaglia, et al.
arXiv (Cornell University) (2020)
Open Access | Times Cited: 209
Towards Reasoning in Large Language Models: A Survey
Jie Huang, Kevin Chen–Chuan Chang
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 176
Neurosymbolic AI: the 3rd wave
Artur S. d’Avila Garcez, Luís C. Lamb
Artificial Intelligence Review (2023) Vol. 56, Iss. 11, pp. 12387-12406
Closed Access | Times Cited: 137
Dissociating language and thought in large language models
Kyle Mahowald, Anna A. Ivanova, Idan Blank, et al.
Trends in Cognitive Sciences (2024) Vol. 28, Iss. 6, pp. 517-540
Open Access | Times Cited: 114
A Review of Trustworthy and Explainable Artificial Intelligence (XAI)
Vinay Chamola, Vikas Hassija, A. Razia Sulthana, et al.
IEEE Access (2023) Vol. 11, pp. 78994-79015
Open Access | Times Cited: 91
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
Denis Kleyko, Dmitri A. Rachkovskij, Evgeny Osipov, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-52
Open Access | Times Cited: 82
Framework for Deep Learning-Based Language Models Using Multi-Task Learning in Natural Language Understanding: A Systematic Literature Review and Future Directions
Rahul M. Samant, Mrinal Bachute, Shilpa Gite, et al.
IEEE Access (2022) Vol. 10, pp. 17078-17097
Open Access | Times Cited: 79
Trustworthy AI and robotics: Implications for the AEC industry
Newsha Emaminejad, Reza Akhavian
Automation in Construction (2022) Vol. 139, pp. 104298-104298
Open Access | Times Cited: 76
Designing interpretable ML system to enhance trust in healthcare: A systematic review to proposed responsible clinician-AI-collaboration framework
Elham Nasarian, Roohallah Alizadehsani, U. Rajendra Acharya, et al.
Information Fusion (2024) Vol. 108, pp. 102412-102412
Open Access | Times Cited: 25
Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective
Luís C. Lamb, Artur S. d’Avila Garcez, Marco Gori, et al.
(2020), pp. 4877-4884
Open Access | Times Cited: 98
How does hemispheric specialization contribute to human-defining cognition?
Gesa Hartwigsen, Yoshua Bengio, Danilo Bzdok
Neuron (2021) Vol. 109, Iss. 13, pp. 2075-2090
Open Access | Times Cited: 81
The AI Gambit — Leveraging Artificial Intelligence to Combat Climate Change: Opportunities, Challenges, and Recommendations
Josh Cowls, Andreas Tsamados, Mariarosaria Taddeo, et al.
SSRN Electronic Journal (2021)
Open Access | Times Cited: 56
Is AI intelligent? An assessment of artificial intelligence, 70 years after Turing
Christian Hugo Hoffmann
Technology in Society (2022) Vol. 68, pp. 101893-101893
Closed Access | Times Cited: 44
Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements
Laith Alzubaidi, Aiman Al-Sabaawi, Jinshuai Bai, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-41
Open Access | Times Cited: 38
A survey on neural-symbolic learning systems
Dongran Yu, Bo Yang, Dayou Liu, et al.
Neural Networks (2023) Vol. 166, pp. 105-126
Open Access | Times Cited: 28
Initial policy considerations for generative artificial intelligence
Philippe Lorenz, Karine Perset, Jamie Berryhill
OECD artificial intelligence papers (2023)
Open Access | Times Cited: 25
LAMBADA: Backward Chaining for Automated Reasoning in Natural Language
Mehran Kazemi, Najoung Kim, Deepti Bhatia, et al.
(2023), pp. 6547-6568
Open Access | Times Cited: 24
How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN
R. Thomas McCoy, Paul Smolensky, Tal Linzen, et al.
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 652-670
Open Access | Times Cited: 23
The effect of source disclosure on evaluation of AI-generated messages
Sue Lim, Ralf Schmälzle
Computers in Human Behavior Artificial Humans (2024) Vol. 2, Iss. 1, pp. 100058-100058
Open Access | Times Cited: 14
AI-Enhanced Teaching Materials for Education: A Shift Towards Digitalization
S Syahrizal, Fifi Yasmi, Thomson Mary
International Journal of Religion (2024) Vol. 5, Iss. 1, pp. 203-217
Open Access | Times Cited: 12
Enhancing knowledge retrieval with in-context learning and semantic search through generative AI
Mohammed-Khalil Ghali, Abdelrahman Farrag, Daehan Won, et al.
Knowledge-Based Systems (2025), pp. 113047-113047
Open Access | Times Cited: 1
Thinking Fast and Slow in AI
Grady Booch, Francesco Fabiano, Lior Horesh, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2021) Vol. 35, Iss. 17, pp. 15042-15046
Open Access | Times Cited: 49
Classification by ordinal sums of conjunctive and disjunctive functions for explainable AI and interpretable machine learning solutions
Miroslav Hudec, Erika Mináriková, Radko Mesiar, et al.
Knowledge-Based Systems (2021) Vol. 220, pp. 106916-106916
Open Access | Times Cited: 44
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