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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:

Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations
Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Jong Cheol Park, Mathieu Emily, Niranjan Balasubramanian, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023)
Open Access | Times Cited: 245
A Systematic Review of Synthetic Data Generation Techniques Using Generative AI
Mandeep Goyal, Qusay H. Mahmoud
Electronics (2024) Vol. 13, Iss. 17, pp. 3509-3509
Open Access | Times Cited: 31
Advancing Legal Citation Text Classification A Conv1D-Based Approach for Multi-Class Classification
Ying Xie, Zhengning Li, Yibo Yin, et al.
Journal of Theory and Practice of Engineering Science (2024) Vol. 4, Iss. 02, pp. 15-22
Open Access | Times Cited: 14
Construction of Knowledge Graphs: Current State and Challenges
Marvin Hofer, Daniel Obraczka, Alieh Saeedi, et al.
Information (2024) Vol. 15, Iss. 8, pp. 509-509
Open Access | Times Cited: 12
Large language models for identifying social determinants of health
Yu Wang
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 13
Open Access | Times Cited: 1
Adaptive Ensembles of Fine-Tuned Transformers for LLM-Generated Text Detection
Zhixin Lai, Xuesheng Zhang, Suiyao Chen
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 36, pp. 1-7
Closed Access | Times Cited: 8
Contrasting Linguistic Patterns in Human and LLM-Generated News Text
Alberto Muñoz-Ortiz, Carlos Gómez‐Rodríguez, David Vilares
Research Square (Research Square) (2024)
Open Access | Times Cited: 5
Data-Free Functional Projection of Large Language Models onto Social Media Tagging Domain
Wenchuan Mu, Kwan Hui Lim
Lecture notes in computer science (2025), pp. 249-262
Closed Access
Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance
Joseph Marvin Imperial, Matthew D. Jones, Harish Tayyar Madabushi
(2025)
Open Access
Reply to Wang: Improving large language model approaches for identifying social determinants of health from clinical notes
Rodney A. Gabriel
Proceedings of the National Academy of Sciences (2025) Vol. 122, Iss. 13
Open Access
Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation
Ashmi Banerjee, A. V. Satish, Wolfgang Wörndl
Communications in computer and information science (2025), pp. 19-34
Closed Access
Redefining Annotation Practices: Leveraging Large Language Models for Discourse Annotation
Lidiia Ostyakova, Anastasia Mikhailova, Vasily Konovalov
Lecture notes in computer science (2025), pp. 131-147
Closed Access
Evaluating the Impact of Synthetic Data on Emotion Classification: A Linguistic and Structural Analysis
István Üveges, Orsolya Ring
Information (2025) Vol. 16, Iss. 4, pp. 330-330
Open Access
Emerging Data Practices: Data Work in the Era of Large Language Models
Adriana Alvarado Garcia, Heloísa Candello, Karla Badillo-Urquiola, et al.
(2025), pp. 1-21
Closed Access
Large Language Models for Synthetic Dataset Generation of Cybersecurity Indicators of Compromise
Ashwaq Almorjan, Mohammed Basheri, Miada Almasre
Sensors (2025) Vol. 25, Iss. 9, pp. 2825-2825
Open Access
Contrasting Linguistic Patterns in Human and LLM-Generated News Text
Alberto Muñoz-Ortiz, Carlos Gómez‐Rodríguez, David Vilares
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 2
Enhancing Affective Computing in NLP Through Data Augmentation: Strategies for Overcoming Limited Data Availability
Gunjan Ansari, Chandni Saxena
(2024), pp. 201-216
Closed Access | Times Cited: 1
Identification of stone deterioration patterns with large multimodal models. Definitions and benchmarking
Daniele Corradetti, J. Delgado Rodrigues
Journal of Cultural Heritage (2024) Vol. 71, pp. 175-183
Open Access | Times Cited: 1
KPLLM-STE: Knowledge-enhanced and prompt-aware large language models for short-text expansion
Hao Zhong, Qi Zhang, Weisheng Li, et al.
World Wide Web (2024) Vol. 28, Iss. 1
Closed Access | Times Cited: 1
AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation Suite
Jonas Groschwitz, Shay B. Cohen, Lucia Donatelli, et al.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (2023), pp. 10728-10752
Open Access | Times Cited: 2
Deep Learning Approach to predict Emotional Effect in Conversations
Karthikeyan Jagadeesan, K. Annapurani, R. K. Pant
(2024), pp. 1-5
Closed Access
Demo Abstract: AD-CLIP: Privacy-Preserving, Low-Cost Synthetic Human Action Dataset for Alzheimer’s Patients via CLIP-based Models
Heming Fu, Hongkai Chen, Guoliang Xing
(2024), pp. 257-258
Closed Access
Aligning Actions and Walking to LLM-Generated Textual Descriptions
Radu Chivereanu, Adrian Cosma, Andy Cătrună, et al.
(2024), pp. 1-7
Open Access
Use of large language models and synthetic social media to optimize and validate assessment of epidemiological characteristics in social media posts about outbreaks: Infodemiology Study (Preprint)
Michael Deiner, Russell Y Deiner, Cherie Fathy, et al.
(2024)
Open Access
Implementation of an intelligent virtual assistant based on LLM models for irrigation optimization
Henrique Chia, Ana Inês Oliveira, Pedro Azevedo
(2024), pp. 94-100
Closed Access
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