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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:

Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification
Shengding Hu, Ning Ding, Huadong Wang, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 183

Showing 1-25 of 183 citing articles:

Pre-trained models: Past, present and future
Xu Han, Zhengyan Zhang, Ning Ding, et al.
AI Open (2021) Vol. 2, pp. 225-250
Open Access | Times Cited: 655
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
KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction
Xiang Chen, Ningyu Zhang, Xin Xie, et al.
Proceedings of the ACM Web Conference 2022 (2022), pp. 2778-2788
Open Access | Times Cited: 282
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu, Kaixuan Ji, Yicheng Fu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 246
OpenPrompt: An Open-source Framework for Prompt-learning
Ning Ding, Shengding Hu, Weilin Zhao, et al.
(2022)
Open Access | Times Cited: 128
Prompt-learning for Fine-grained Entity Typing
Ning Ding, Yulin Chen, Xu Han, et al.
(2022)
Open Access | Times Cited: 77
What does a platypus look like? Generating customized prompts for zero-shot image classification
Sarah I. Pratt, Ian Covert, Rosanne Liu, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 15645-15655
Open Access | Times Cited: 76
Paradigm Shift in Natural Language Processing
Tianxiang Sun, Xiang-Yang Liu, Xipeng Qiu, et al.
Deleted Journal (2022) Vol. 19, Iss. 3, pp. 169-183
Open Access | Times Cited: 74
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
CausalKGPT: Industrial structure causal knowledge-enhanced large language model for cause analysis of quality problems in aerospace product manufacturing
Bin Zhou, Xinyu Li, Tianyuan Liu, et al.
Advanced Engineering Informatics (2024) Vol. 59, pp. 102333-102333
Closed Access | Times Cited: 41
Veracity‐Oriented Context‐Aware Large Language Models–Based Prompting Optimization for Fake News Detection
Weiqiang Jin, Yang Gao, Tao Tao, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access | Times Cited: 4
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
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Ningyu Zhang, Luoqiu Li, Xiang Chen, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 65
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
Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering
Jinheon Baek, Alham Fikri Aji, Amir Saffari
(2023), pp. 78-106
Open Access | Times Cited: 29
Towards Large-Scale 3D Representation Learning with Multi-Dataset Point Prompt Training
Xiaoyang Wu, Zhuotao Tian, Xin Wen, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 19551-19562
Closed Access | Times Cited: 11
Short text classification with Soft Knowledgeable Prompt-tuning
Yi Zhu, Ye Wang, Jianyuan Mu, et al.
Expert Systems with Applications (2024) Vol. 246, pp. 123248-123248
Closed Access | Times Cited: 9
Large language model assisted fine-grained knowledge graph construction for robotic fault diagnosis
Xingming Liao, Chong Chen, Zhuowei Wang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103134-103134
Closed Access | Times Cited: 1
Multitask Learning for Authenticity and Authorship Detection
Gurunameh Singh Chhatwal, Jiashu Zhao
Electronics (2025) Vol. 14, Iss. 6, pp. 1113-1113
Open Access | Times Cited: 1
SentiPrompt: Sentiment Knowledge Enhanced Prompt-Tuning for Aspect-Based Sentiment Analysis
Chengxi Li, Feiyu Gao, Jiajun Bu, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 49
KEPT: Knowledge Enhanced Prompt Tuning for event causality identification
Jin‐Tao Liu, Zequn Zhang, Zhi Guo, et al.
Knowledge-Based Systems (2022) Vol. 259, pp. 110064-110064
Closed Access | Times Cited: 31
AdaPrompt: Adaptive Model Training for Prompt-based NLP
Yulong Chen, Yang Liu, Dong Li, et al.
(2022), pp. 6057-6068
Open Access | Times Cited: 31
Efficient utilization of pre-trained models: A review of sentiment analysis via prompt learning
Kun Bu, Yuanchao Liu, Xiaolong Ju
Knowledge-Based Systems (2023) Vol. 283, pp. 111148-111148
Closed Access | Times Cited: 22
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
Combining prompt learning with contextual semantics for inductive relation prediction
Shaorong Xie, Qifei Pan, Xinzhi Wang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121669-121669
Closed Access | Times Cited: 17
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