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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 1-25 of 1546 citing articles:

Large language models in medicine
Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kabilan Elangovan, et al.
Nature Medicine (2023) Vol. 29, Iss. 8, pp. 1930-1940
Closed Access | Times Cited: 1415
Large language models encode clinical knowledge
Karan Singhal, Shekoofeh Azizi, Tao Tu, et al.
Nature (2023) Vol. 620, Iss. 7972, pp. 172-180
Open Access | Times Cited: 1349
Learning to Prompt for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, et al.
International Journal of Computer Vision (2022) Vol. 130, Iss. 9, pp. 2337-2348
Closed Access | Times Cited: 1183
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development
Tianyu Wu, Shizhu He, Jingping Liu, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 5, pp. 1122-1136
Closed Access | Times Cited: 725
Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 692
A Survey on Evaluation of Large Language Models
Yupeng Chang, Xu Wang, Jindong Wang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 3, pp. 1-45
Open Access | Times Cited: 669
DINOv2: Learning Robust Visual Features without Supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 517
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh, Albert Webson, Colin Raffel, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 463
Generative AI at Work
Erik Brynjolfsson, Danielle Li, Lindsey Raymond
(2023)
Open Access | Times Cited: 451
Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond
Mike Perkins
Journal of University Teaching and Learning Practice (2023) Vol. 20, Iss. 2
Open Access | Times Cited: 400
Evaluating the Performance of ChatGPT in Ophthalmology
Fares Antaki, Samir Touma, Daniel Milad, et al.
Ophthalmology Science (2023) Vol. 3, Iss. 4, pp. 100324-100324
Open Access | Times Cited: 329
Florence: A New Foundation Model for Computer Vision
Lu Yuan, Dongdong Chen, Yi‐Ling Chen, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 316
Generative AI
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, et al.
Business & Information Systems Engineering (2023) Vol. 66, Iss. 1, pp. 111-126
Open Access | Times Cited: 314
Towards a standard for identifying and managing bias in artificial intelligence
Reva Schwartz, Apostol Vassilev, Kristen Greene, et al.
(2022)
Open Access | Times Cited: 297
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 15617-15629
Open Access | Times Cited: 296
Chatting and Cheating. Ensuring academic integrity in the era of ChatGPT
Debby Cotton, Peter B. Cotton, J. Reuben Shipway
(2023)
Open Access | Times Cited: 274
scGPT: toward building a foundation model for single-cell multi-omics using generative AI
Haotian Cui, Xiaoming Wang, Hassaan Maan, et al.
Nature Methods (2024) Vol. 21, Iss. 8, pp. 1470-1480
Open Access | Times Cited: 262
SpectralGPT: Spectral Remote Sensing Foundation Model
Danfeng Hong, Bing Zhang, Xuyang Li, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) Vol. 46, Iss. 8, pp. 5227-5244
Open Access | Times Cited: 249
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts
Tongshuang Wu, Michael Terry, Carrie J. Cai
CHI Conference on Human Factors in Computing Systems (2022), pp. 1-22
Open Access | Times Cited: 232
Image Segmentation Using Text and Image Prompts
Timo Lüddecke, Alexander S. Ecker
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 7076-7086
Open Access | Times Cited: 225
Robust fine-tuning of zero-shot models
Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)
Open Access | Times Cited: 223
Sustainable AI: Environmental Implications, Challenges and Opportunities
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 210
Self-Supervised Speech Representation Learning: A Review
Abdelrahman Mohamed, Hung-yi Lee, Lasse Borgholt, et al.
IEEE Journal of Selected Topics in Signal Processing (2022) Vol. 16, Iss. 6, pp. 1179-1210
Open Access | Times Cited: 205
Towards a general-purpose foundation model for computational pathology
Richard J. Chen, Tong Ding, Ming Y. Lu, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 850-862
Open Access | Times Cited: 199
Can Large Language Models Transform Computational Social Science?
Caleb Ziems, William A. Held, Omar Ahmed Shaikh, et al.
Computational Linguistics (2023) Vol. 50, Iss. 1, pp. 237-291
Open Access | Times Cited: 194
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