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:

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models
Ning Ding, Yujia Qin, Guang Yang, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

OpenPrompt: An Open-source Framework for Prompt-learning
Ning Ding, Shengding Hu, Weilin Zhao, et al.
(2022)
Open Access | Times Cited: 125

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022)
Open Access | Times Cited: 79

On the Effectiveness of Parameter-Efficient Fine-Tuning
Zihao Fu, Haoran Yang, Anthony Man–Cho So, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 11, pp. 12799-12807
Open Access | Times Cited: 50

Large language models (LLMs): survey, technical frameworks, and future challenges
Pranjal Kumar
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 20

Efficient Training and Inference: Techniques for Large Language Models Using Llama
Sophia R. Cunningham, Dominique Archambault, Austin Kung
(2024)
Open Access | Times Cited: 17

DB-GPT: Large Language Model Meets Database
Xuanhe Zhou, Zhaoyan Sun, Guoliang Li
Data Science and Engineering (2024) Vol. 9, Iss. 1, pp. 102-111
Open Access | Times Cited: 15

Transformers for Tabular Data Representation: A Survey of Models and Applications
Gilbert Badaro, Mohammed Saeed, Paolo Papotti
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 227-249
Open Access | Times Cited: 31

Stock trend prediction using sentiment analysis
Qianyi Xiao, Baha Ihnaini
PeerJ Computer Science (2023) Vol. 9, pp. e1293-e1293
Open Access | Times Cited: 22

Modify Mistral Large Performance with Low-Rank Adaptation (LoRA) on the BIG-Bench Dataset
Haruka Fujiwara, Renta Kimura, Tokuniki Nakano
Research Square (Research Square) (2024)
Open Access | Times Cited: 10

MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter
Zhiyuan Liu, Sihang Li, Yanchen Luo, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 15623-15638
Open Access | Times Cited: 15

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models
Zhuo Zhang, Yuanhang Yang, Yong Dai, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 13

STAF-LLM: A scalable and task-adaptive fine-tuning framework for large language models in medical domain
Tianhan Xu, Ling Chen, Zhe Hu, et al.
Expert Systems with Applications (2025), pp. 127582-127582
Closed Access

Defense against adversarial attacks: robust and efficient compressed optimized neural networks
Insaf Kraidia, Afifa Ghenai, Samir Brahim Belhaouari
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4

Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning
Siteng Huang, Biao Gong, Yutong Feng, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 24005-24014
Closed Access | Times Cited: 4

FedHLT: Efficient Federated Low-Rank Adaption with Hierarchical Language Tree for Multilingual Modeling
Zhihan Guo, Yifei Zhang, Zhuo Zhang, et al.
Lecture notes in computer science (2025), pp. 1-18
Closed Access

The application progress and research trends of knowledge graphs and large language models in agriculture
Ruizi Gong, Xinxing Li
Computers and Electronics in Agriculture (2025) Vol. 235, pp. 110396-110396
Closed Access

XPrompt: Exploring the Extreme of Prompt Tuning
Fang Ma, Chen Zhang, Lei Ren, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2022), pp. 11033-11047
Open Access | Times Cited: 16

G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks
Anchun Gui, Jinqiang Ye, Han Xiao
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 11, pp. 12226-12234
Open Access | Times Cited: 3

LLMIF: Augmented Large Language Model for Fuzzing IoT Devices
Jincheng Wang, Le Yu, Xiapu Luo
2022 IEEE Symposium on Security and Privacy (SP) (2024) Vol. 33, pp. 881-896
Closed Access | Times Cited: 3

Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
Liting Lin, Heng Fan, Zhipeng Zhang, et al.
Lecture notes in computer science (2024), pp. 300-318
Closed Access | Times Cited: 3

MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices
Yang Zhao, Yanwu Xu, Zhisheng Xiao, et al.
Lecture notes in computer science (2024), pp. 225-242
Closed Access | Times Cited: 3

MarianCG: a code generation transformer model inspired by machine translation
Ahmed Soliman, Mayada Hadhoud, Samir I. Shaheen
Journal of Engineering and Applied Science (2022) Vol. 69, Iss. 1
Open Access | Times Cited: 14

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