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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:

Parameter-efficient fine-tuning of large-scale pre-trained language models
Ning Ding, Yujia Qin, Guang Yang, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 3, pp. 220-235
Open Access | Times Cited: 334

Showing 1-25 of 334 citing articles:

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: 116
Exploring the frontiers of deep learning and natural language processing: A comprehensive overview of key challenges and emerging trends
Wahab Khan, Ali Daud, Khalil Khan, et al.
Natural Language Processing Journal (2023) Vol. 4, pp. 100026-100026
Open Access | Times Cited: 82
Sentiment Analysis in the Age of Generative AI
Jan Ole Krugmann, Jochen Hartmann
Customer Needs and Solutions (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 40
A future role for health applications of large language models depends on regulators enforcing safety standards
Oscar Freyer, Isabella C. Wiest, Jakob Nikolas Kather, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 9, pp. e662-e672
Open Access | Times Cited: 29
3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation
Shizhan Gong, 遠藤 忠, Wenao Ma, et al.
Medical Image Analysis (2024) Vol. 98, pp. 103324-103324
Closed Access | Times Cited: 25
Fine-tuning protein language models boosts predictions across diverse tasks
Robert Schmirler, Michael Heinzinger, Burkhard Rost
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 25
End-Edge-Cloud Collaborative Computing for Deep Learning: A Comprehensive Survey
Yingchao Wang, Chen Yang, Shulin Lan, et al.
IEEE Communications Surveys & Tutorials (2024) Vol. 26, Iss. 4, pp. 2647-2683
Closed Access | Times Cited: 23
Enhancing efficiency of protein language models with minimal wet-lab data through few-shot learning
Ziyi Zhou, Liang Zhang, Yuanxi Yu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 22
"Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach"
Md Shofiqul Islam, Muhammad Nomani Kabir, Ngahzaifa Ab Ghani, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 3
Open Access | Times Cited: 20
A Comparative Analysis to Evaluate Bias and Fairness Across Large Language Models with Benchmarks
陳文意, 黃兆明
(2024)
Open Access | Times Cited: 20
BB-GeoGPT: A framework for learning a large language model for geographic information science
Yifan Zhang, Zhiyun Wang, Zhengting He, et al.
Information Processing & Management (2024) Vol. 61, Iss. 5, pp. 103808-103808
Closed Access | Times Cited: 20
Harnessing generative artificial intelligence to support nature‐based solutions
Daniel R. Richards, David Worden, Xiao Ping Song, et al.
People and Nature (2024) Vol. 6, Iss. 2, pp. 882-893
Open Access | Times Cited: 18
Efficient Compression of Large Language Models: A Case Study on Llama 2 with 13B Parameters
Mariko Konishi, K. Nakano, Yoko Tomoda
Research Square (Research Square) (2024)
Open Access | Times Cited: 18
Democratizing protein language models with parameter-efficient fine-tuning
Samuel Sledzieski, Meghana Kshirsagar, Minkyung Baek, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 26
Open Access | Times Cited: 18
When LLMs meet cybersecurity: a systematic literature review
Jie Zhang, H. Bu, Hui Wen, et al.
Cybersecurity (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 9
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li, J. S. Jin, Yujia Zhou, et al.
ACM transactions on office information systems (2025)
Closed Access | Times Cited: 5
An optimization-centric review on integrating artificial intelligence and digital twin technologies in manufacturing
Vispi Karkaria, Ying-Kuan Tsai, Yi-Ping Chen, et al.
Engineering Optimization (2025), pp. 1-47
Open Access | Times Cited: 4
Fake news detection: comparative evaluation of BERT-like models and large language models with generative AI-annotated data
Shaina Raza, Drai Paulen-Patterson, Ding Chen
Knowledge and Information Systems (2025)
Open Access | Times Cited: 3
Open challenges and opportunities in federated foundation models towards biomedical healthcare
Xingyu Li, Peng Lu, Yu‐Ping Wang, et al.
BioData Mining (2025) Vol. 18, Iss. 1
Open Access | Times Cited: 2
Learning from models beyond fine-tuning
Hongling Zheng, Li Shen, Anke Tang, et al.
Nature Machine Intelligence (2025)
Closed Access | Times Cited: 2
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Ning Ding, Yulin Chen, Bokai Xu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 32
Comparison of Prompt Engineering and Fine-Tuning Strategies in Large Language Models in the Classification of Clinical Notes
Xiaodan Zhang, Nabasmita Talukdar, Sandeep Vemulapalli, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 15
Strategies for Implementing Machine Learning Algorithms in the Clinical Practice of Radiology
Allison Chae, Michael S. Yao, Hersh Sagreiya, et al.
Radiology (2024) Vol. 310, Iss. 1
Closed Access | Times Cited: 14
A Review of Large Language Models and Autonomous Agents in Chemistry
Mayk Caldas Ramos, Christopher J. Collison, Andrew Dickson White
Chemical Science (2024)
Open Access | Times Cited: 14
Parameter-efficient fine-tuning large language model approach for hospital discharge paper summarization
Joyeeta Goswami, Kaushal Kumar Prajapati, Ashim Saha, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111531-111531
Closed Access | Times Cited: 13
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