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:

GPT-RE: In-context Learning for Relation Extraction using Large Language Models
Zhen Wan, Fei Cheng, Zhuoyuan Mao, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

A survey of GPT-3 family large language models including ChatGPT and GPT-4
Katikapalli Subramanyam Kalyan
Natural Language Processing Journal (2023) Vol. 6, pp. 100048-100048
Open Access | Times Cited: 112

Text Classification via Large Language Models
Xiaofei Sun, Xiaoya Li, Jiwei Li, et al.
(2023)
Open Access | Times Cited: 71

LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities
Yuqi Zhu, Xiaohan Wang, Jing Chen, et al.
World Wide Web (2024) Vol. 27, Iss. 5
Closed Access | Times Cited: 52

Large language models for generative information extraction: a survey
Derong Xu, Wei Chen, Wenjun Peng, et al.
Frontiers of Computer Science (2024) Vol. 18, Iss. 6
Open Access | Times Cited: 32

An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction
Urchade Zaratiana, Nadi Tomeh, Pierre Holat, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 19477-19487
Open Access | Times Cited: 9

Empirical Study of Zero-Shot NER with ChatGPT
Tingyu Xie, Qi Li, Jian Zhang, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 17

LLM for Uniform Information Extraction Using Multi-task Learning Optimization
Ying Li, Zhen Tan, Weidong Xiao
Communications in computer and information science (2025), pp. 17-29
Closed Access

Fine-tuned encoder models with data augmentation beat ChatGPT in agricultural named entity recognition and relation extraction
Saptaparna De, Debarshi Kumar Sanyal, Imon Mukherjee
Expert Systems with Applications (2025), pp. 127126-127126
Closed Access

Mix-Lingual Relation Extraction: Dataset and a Training Approach
Lingxing Kong, Yougang Chu, Zheng Ma, et al.
Journal of Computer Science and Technology (2025) Vol. 40, Iss. 1, pp. 42-59
Closed Access

A geological knowledge-constrained entity and relation extraction method for text: A case study of granitic pegmatite-type lithium deposits
Jintao Tao, Nannan Zhang, Jinyu Chang, et al.
Computers & Geosciences (2025), pp. 105920-105920
Closed Access

DCLMD: dynamic clustering and label mapping distribution for constructing in-context learning demonstrations
Yongping Du, Qi Zhang, Shaojun Fu, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 5
Closed Access

Knowledge extraction for additive manufacturing process via named entity recognition with LLMs
Xuan Liu, John Ahmet Erkoyuncu, Jerry Ying Hsi Fuh, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 93, pp. 102900-102900
Open Access | Times Cited: 4

Chain of Thought Guided Few-Shot Fine-Tuning of LLMs for Multimodal Aspect-Based Sentiment Classification
Hao Wu, Danping Yang, Peng Liu, et al.
Lecture notes in computer science (2025), pp. 182-194
Closed Access

Construction of EMU Fault Knowledge Graph Based on Large Language Model
Ziwei Han, Hui Wang, Yaxin Li, et al.
Lecture notes in computer science (2025), pp. 335-347
Closed Access

DEL: a strategy for resolving redundancy in entity pairs within dual entity linker for relational triple extraction
HU Song-hua, Haihui Wang
Evolutionary Intelligence (2025) Vol. 18, Iss. 1
Closed Access

Hyperbolic Graph Convolutional Network Relation Extraction Model Combining Dependency Syntax and Contrastive Learning
Jinzhe Li
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access

Generative Prompt Engineering
Francisco S. Marcondes, Adelino Gala, Renata Magalhães, et al.
SpringerBriefs in computer science (2025), pp. 37-52
Closed Access

Improving unified information extraction in Chinese mental health domain with instruction-tuned LLMs and type-verification component
Zheng Cai, Hui Fang, Jianhua Liu, et al.
Artificial Intelligence in Medicine (2025) Vol. 162, pp. 103087-103087
Closed Access

Rehearsal-free continual few-shot relation extraction via contrastive weighted prompts
Fengqin Yang, Mingrong Ren, Desheng Kong, et al.
Neurocomputing (2025), pp. 129741-129741
Closed Access

Beyond Isolation: Multi-agent Synergy for Improving Knowledge Graph Construction
Hongbin Ye, Honghao Gui, Aijia Zhang, et al.
Communications in computer and information science (2025), pp. 69-81
Closed Access

Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models
Junpeng Li, Zixia Jia, Zilong Zheng
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 10

CLSTM-SNP: Convolutional Neural Network to Enhance Spiking Neural P Systems for Named Entity Recognition Based on Long Short-Term Memory Network
Qin Deng, Xiaoliang Chen, Zaiyan Yang, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 2
Open Access | Times Cited: 3

Are LLMs good at structured outputs? A benchmark for evaluating structured output capabilities in LLMs
Yu Liu, Duantengchuan Li, Kaili Wang, et al.
Information Processing & Management (2024) Vol. 61, Iss. 5, pp. 103809-103809
Closed Access | Times Cited: 3

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