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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:

OpenPrompt: An Open-source Framework for Prompt-learning
Ning Ding, Shengding Hu, Weilin Zhao, et al.
(2022)
Open Access | Times Cited: 128

Showing 1-25 of 128 citing articles:

PTR: Prompt Tuning with Rules for Text Classification
Xu Han, Weilin Zhao, Ning Ding, et al.
AI Open (2022) Vol. 3, pp. 182-192
Open Access | Times Cited: 362
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
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song, Ting Wang, Puyu Cai, et al.
ACM Computing Surveys (2023) Vol. 55, Iss. 13s, pp. 1-40
Open Access | Times Cited: 252
AI literacy and its implications for prompt engineering strategies
Nils Knoth, Antonia Tolzin, Andreas Janson, et al.
Computers and Education Artificial Intelligence (2024) Vol. 6, pp. 100225-100225
Open Access | Times Cited: 67
A Survey of Knowledge Enhanced Pre-Trained Language Models
Linmei Hu, Zeyi Liu, Ziwang Zhao, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 4, pp. 1413-1430
Open Access | Times Cited: 55
Cross-modal augmentation for few-shot multimodal fake news detection
Ye Jiang, Taihang Wang, Xiaoman Xu, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109931-109931
Closed Access | Times Cited: 3
Prompting Is Programming: A Query Language for Large Language Models
Luca Beurer-Kellner, M. Fischer, Martin Vechev
Proceedings of the ACM on Programming Languages (2023) Vol. 7, Iss. PLDI, pp. 1946-1969
Open Access | Times Cited: 38
Clinical Prompt Learning With Frozen Language Models
Niall Taylor, Yi Zhang, Dan W. Joyce, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 11, pp. 16453-16463
Open Access | Times Cited: 36
Prompt-Learning for Short Text Classification
Yi Zhu, Ye Wang, Jipeng Qiang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 10, pp. 5328-5339
Open Access | Times Cited: 33
Advances of machine learning in materials science: Ideas and techniques
Sue Sin Chong, Yi Sheng Ng, Hui‐Qiong Wang, et al.
Frontiers of Physics (2023) Vol. 19, Iss. 1
Open Access | Times Cited: 26
MED-Prompt: A novel prompt engineering framework for medicine prediction on free-text clinical notes
Awais Ahmed, Xiaoyang Zeng, Rui Xi, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 2, pp. 101933-101933
Open Access | Times Cited: 11
NetLLM: Adapting Large Language Models for Networking
Duo Wu, Xianda Wang, Yaqi Qiao, et al.
(2024), pp. 661-678
Closed Access | Times Cited: 9
Named entity recognition for construction documents based on fine-tuning of large language models with low-quality datasets
Junyu Zhou, Zhiliang Ma
Automation in Construction (2025) Vol. 174, pp. 106151-106151
Closed Access | Times Cited: 1
Prompt-Based Learning for Unpaired Image Captioning
Peipei Zhu, Xiao Wang, Lin Zhu, et al.
IEEE Transactions on Multimedia (2023) Vol. 26, pp. 379-393
Open Access | Times Cited: 21
AGCVT-prompt for sentiment classification: Automatically generating chain of thought and verbalizer in prompt learning
Gu Xu, Xiaoliang Chen, Peng Lu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 132, pp. 107907-107907
Closed Access | Times Cited: 7
Respectful or Toxic? Using Zero-Shot Learning with Language Models to Detect Hate Speech
Flor Miriam Plaza-del-Arco, Debora Nozza, Dirk Hovy
(2023), pp. 60-68
Open Access | Times Cited: 15
LLMaAA: Making Large Language Models as Active Annotators
Ruoyu Zhang, Yanzeng Li, Yongliang Ma, et al.
(2023)
Open Access | Times Cited: 15
Meta-prompt based learning for low-resource false information detection
Yinqiu Huang, Min Gao, Jia Wang, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103279-103279
Closed Access | Times Cited: 14
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models
Qifan Wang, Yuning Mao, Jingang Wang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 13
Prompt Tuning in Code Intelligence: An Experimental Evaluation
Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, et al.
IEEE Transactions on Software Engineering (2023) Vol. 49, Iss. 11, pp. 4869-4885
Closed Access | Times Cited: 12
Prompt-Based Label-Aware Framework for Few-Shot Multi-Label Text Classification
Thanakorn Thaminkaew, Piyawat Lertvittayakumjorn, Peerapon Vateekul
IEEE Access (2024) Vol. 12, pp. 28310-28322
Open Access | Times Cited: 4
Prompt-Eng: Healthcare Prompt Engineering: Revolutionizing Healthcare Applications with Precision Prompts
Awais Ahmed, Mengshu Hou, Rui Xi, et al.
(2024), pp. 1329-1337
Open Access | Times Cited: 4
Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer
Yinyi Wei, Tong Mo, Yongtao Jiang, et al.
Lecture notes in computer science (2022), pp. 222-233
Closed Access | Times Cited: 17
Do PLMs Know and Understand Ontological Knowledge?
Weiqi Wu, Chengyue Jiang, Yong Jiang, et al.
(2023), pp. 3080-3101
Open Access | Times Cited: 11
PLPMpro: Enhancing promoter sequence prediction with prompt-learning based pre-trained language model
Zhongshen Li, Junru Jin, Wentao Long, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107260-107260
Closed Access | Times Cited: 10
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