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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:

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 1546

Showing 26-50 of 1546 citing articles:

VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
Limin Wang, Bingkun Huang, Zhiyu Zhao, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023), pp. 14549-14560
Open Access | Times Cited: 190
LinkBERT: Pretraining Language Models with Document Links
Michihiro Yasunaga, Jure Leskovec, Percy Liang
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 189
Large-scale chemical language representations capture molecular structure and properties
Jerret Ross, Brian Belgodere, Vijil Chenthamarakshan, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 12, pp. 1256-1264
Open Access | Times Cited: 189
TruthfulQA: Measuring How Models Mimic Human Falsehoods
Stephanie Lin, Jacob Hilton, Owain Evans
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 183
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: 178
Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap
Johannes Wagner, Andreas Triantafyllopoulos, Hagen Wierstorf, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 45, Iss. 9, pp. 10745-10759
Open Access | Times Cited: 176
Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language
Paul Denny, Viraj Kumar, Nasser Giacaman
(2023), pp. 1136-1142
Open Access | Times Cited: 169
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Lihe Yang, Bingyi Kang, Zilong Huang, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 10371-10381
Closed Access | Times Cited: 163
Opportunities and challenges for ChatGPT and large language models in biomedicine and health
Shubo Tian, Qiao Jin, Lana Yeganova, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 161
A review of deep learning techniques for speech processing
Ambuj Mehrish, Navonil Majumder, Rishabh Bharadwaj, et al.
Information Fusion (2023) Vol. 99, pp. 101869-101869
Open Access | Times Cited: 145
GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions
Gokul Yenduri, M. Ramalingam, G. Chemmalar Selvi, et al.
IEEE Access (2024) Vol. 12, pp. 54608-54649
Open Access | Times Cited: 137
Advancing Plain Vision Transformer Toward Remote Sensing Foundation Model
Di Wang, Qiming Zhang, Yufei Xu, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 61, pp. 1-15
Closed Access | Times Cited: 132
The transformative potential of artificial intelligence
Ross Gruetzemacher, Jess Whittlestone
Futures (2021) Vol. 135, pp. 102884-102884
Open Access | Times Cited: 120
The Programmer’s Assistant: Conversational Interaction with a Large Language Model for Software Development
Steven Ross, Fernando Martinez, Stephanie Houde, et al.
(2023), pp. 491-514
Open Access | Times Cited: 118
Using artificial intelligence in craft education: crafting with text-to-image generative models
Henriikka Vartiainen, Matti Tedre
Digital Creativity (2023) Vol. 34, Iss. 1, pp. 1-21
Open Access | Times Cited: 115
Large AI Models in Health Informatics: Applications, Challenges, and the Future
Jianing Qiu, Lin Li, Jiankai Sun, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 12, pp. 6074-6087
Open Access | Times Cited: 115
Co-Writing with Opinionated Language Models Affects Users’ Views
Maurice Jakesch, Advait Bhat, Daniel Buschek, et al.
(2023), pp. 1-15
Open Access | Times Cited: 111
Large Language Models in Medicine: The Potentials and Pitfalls
Jesutofunmi A. Omiye, Haiwen Gui, Shawheen J. Rezaei, et al.
Annals of Internal Medicine (2024) Vol. 177, Iss. 2, pp. 210-220
Open Access | Times Cited: 105
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
Shell Xu Hu, Da Li, Jan Stühmer, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 9058-9067
Open Access | Times Cited: 104
Benchmarking Large Language Models for News Summarization
Tianyi Zhang, Faisal Ladhak, Esin Durmus, et al.
Transactions of the Association for Computational Linguistics (2024) Vol. 12, pp. 39-57
Open Access | Times Cited: 102
SAM-Adapter: Adapting Segment Anything in Underperformed Scenes
Tianrun Chen, Lanyun Zhu, Chaotao Ding, et al.
(2023), pp. 3359-3367
Closed Access | Times Cited: 99
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound
Rowan Zellers, Jiasen Lu, Ximing Lu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 16354-16366
Open Access | Times Cited: 98
Human Language Understanding & Reasoning
Christopher D. Manning
Daedalus (2022) Vol. 151, Iss. 2, pp. 127-138
Open Access | Times Cited: 97
Computing Education in the Era of Generative AI
Paul Denny, James Prather, Brett A. Becker, et al.
Communications of the ACM (2024) Vol. 67, Iss. 2, pp. 56-67
Open Access | Times Cited: 97
Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPT
Mostafa M. Amin, Erik Cambria, Björn W. Schuller
IEEE Intelligent Systems (2023) Vol. 38, Iss. 2, pp. 15-23
Open Access | Times Cited: 93

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