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:

Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning
Pin‐Yu Chen
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 20, pp. 22584-22591
Open Access | Times Cited: 7

Showing 7 citing articles:

Towards cost-efficient vulnerability detection with cross-modal adversarial reprogramming
Zhenzhou Tian, Rui Qiu, Yong Teng, et al.
Journal of Systems and Software (2025), pp. 112365-112365
Closed Access

ZooPFL: Exploring Black-Box Foundation Models for Personalized Federated Learning
Lu Wang, Hao Yu, Jindong Wang, et al.
Lecture notes in computer science (2025), pp. 19-35
Closed Access

TS-HTFA: Advancing Time-Series Forecasting via Hierarchical Text-Free Alignment with Large Language Models
Pengfei Wang, Huanran Zheng, Qi’ao Xu, et al.
Symmetry (2025) Vol. 17, Iss. 3, pp. 401-401
Open Access

SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks
Kai-Wei Chang, Haibin Wu, Yu-Kai Wang, et al.
IEEE/ACM Transactions on Audio Speech and Language Processing (2024) Vol. 32, pp. 3730-3744
Open Access

Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally
Shawqi Al-Maliki, Adnan Qayyum, Hassan Ali, et al.
IEEE Transactions on Artificial Intelligence (2024) Vol. 5, Iss. 9, pp. 4322-4343
Open Access

Generalizing to Out-of-Sample Degradations via Model Reprogramming
Runhua Jiang, Yahong Han
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 2783-2794
Open Access

Exploring the Potential of the Machine Learning Techniques in the Water Quality Assessment: A Review of Applications and Performance
Fausto Pedro Garcı́a Márquez, Ali Hussein Shuaa Al-taie, Yahya Zakur, et al.
Lecture notes in networks and systems (2024), pp. 626-639
Closed Access

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