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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:

Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, et al.
(2020)
Open Access | Times Cited: 1690

Showing 26-50 of 1690 citing articles:

An Analysis of Simple Data Augmentation for Named Entity Recognition
Xiang Dai, Heike Adel
Proceedings of the 17th international conference on Computational linguistics - (2020)
Open Access | Times Cited: 167
Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies
Max Callaghan, Carl-Friedrich Schleußner, Shruti Nath, et al.
Nature Climate Change (2021) Vol. 11, Iss. 11, pp. 966-972
Closed Access | Times Cited: 160
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
Jesse Dodge, Maarten Sap, Ana Marasović, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2021)
Open Access | Times Cited: 157
Lawformer: A pre-trained language model for Chinese legal long documents
Chaojun Xiao, Xueyu Hu, Zhiyuan Liu, et al.
AI Open (2021) Vol. 2, pp. 79-84
Open Access | Times Cited: 153
Investigating Pretrained Language Models for Graph-to-Text Generation
Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.
(2021)
Open Access | Times Cited: 126
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
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
Alisa Liu, Maarten Sap, Ximing Lu, et al.
(2021)
Open Access | Times Cited: 115
Word Alignment by Fine-tuning Embeddings on Parallel Corpora
Zi-Yi Dou, Graham Neubig
(2021)
Open Access | Times Cited: 106
MasakhaNER: Named Entity Recognition for African Languages
David Ifeoluwa Adelani, Jade Abbott, Graham Neubig, et al.
Transactions of the Association for Computational Linguistics (2021) Vol. 9, pp. 1116-1131
Open Access | Times Cited: 106
Self-supervised Learning: A Succinct Review
Veenu Rani, Syed Tufael Nabi, Munish Kumar, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 4, pp. 2761-2775
Open Access | Times Cited: 104
CLIMATEBERT: A Pretrained Language Model for Climate-Related Text
Nicolas Webersinke, Mathias Kraus, Julia Bingler, et al.
SSRN Electronic Journal (2022)
Open Access | Times Cited: 94
Beyond semantic distance: Automated scoring of divergent thinking greatly improves with large language models
Peter Organisciak, Selçuk Acar, Denis Dumas, et al.
Thinking Skills and Creativity (2023) Vol. 49, pp. 101356-101356
Closed Access | Times Cited: 94
Contrastive learning in protein language space predicts interactions between drugs and protein targets
Rohit Singh, Samuel Sledzieski, Bryan D. Bryson, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 24
Open Access | Times Cited: 92
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Ningyu Zhang, Mosha Chen, Zhen Bi, et al.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (2022)
Open Access | Times Cited: 89
Pre-trained Language Models in Biomedical Domain: A Systematic Survey
Benyou Wang, Qianqian Xie, Jiahuan Pei, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 3, pp. 1-52
Open Access | Times Cited: 89
Auditing large language models: a three-layered approach
Jakob Mökander, Jonas Schuett, Hannah Rose Kirk, et al.
AI and Ethics (2023) Vol. 4, Iss. 4, pp. 1085-1115
Open Access | Times Cited: 85
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
Hongyi Yuan, Zheng Yuan, Ruyi Gan, et al.
(2022)
Open Access | Times Cited: 82
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado Reed, Xiangyu Yue, Ani Nrusimha, et al.
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2022), pp. 1050-1060
Open Access | Times Cited: 79
One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Hongjin Su, Weijia Shi, Jungo Kasai, et al.
Findings of the Association for Computational Linguistics: ACL 2022 (2023)
Open Access | Times Cited: 71
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
Shangbin Feng, Chan Young Park, Yuhan Liu, et al.
(2023)
Open Access | Times Cited: 68
End-to-End Transformer-Based Models in Textual-Based NLP
Abir Rahali, Moulay A. Akhloufi
AI (2023) Vol. 4, Iss. 1, pp. 54-110
Open Access | Times Cited: 63
Domain Adaptation: Challenges, Methods, Datasets, and Applications
Peeyush Singhal, Rahee Walambe, Sheela Ramanna, et al.
IEEE Access (2023) Vol. 11, pp. 6973-7020
Open Access | Times Cited: 55
Systematic review of data-centric approaches in artificial intelligence and machine learning
Prerna Singh
Data Science and Management (2023) Vol. 6, Iss. 3, pp. 144-157
Open Access | Times Cited: 48
A Survey of Large Language Models for Healthcare: From Data, Technology, and Applications to Accountability and Ethics
Kai He, Rui Mao, Qika Lin, et al.
(2024)
Open Access | Times Cited: 45
Knowledge Graph Prompting for Multi-Document Question Answering
Yu Wang, Nedim Lipka, Ryan A. Rossi, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 17, pp. 19206-19214
Open Access | Times Cited: 37

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