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: 19

Showing 19 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: 186

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: 18

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: 8

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: 7

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

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: 4

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

Aligning Actions and Walking to LLM-Generated Textual Descriptions
Radu Chivereanu, Adrian Cosma, Andy Cătrună, et al.
(2024), pp. 1-7
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

Comparative Analysis of Pretrained Models for Text Classification, Generation and Summarization: A Detailed Analysis
Prakrit Pathak, Prashant Singh Rana
Lecture notes in computer science (2024), pp. 151-166
Closed Access

Interpretable Conversation Routing via the Latent Embeddings Approach
Daniil Maksymenko, Oleksii Turuta
Computation (2024) Vol. 12, Iss. 12, pp. 237-237
Open Access

Deep Learning Approach to predict Emotional Effect in Conversations
Karthikeyan Jagadeesan, K. Annapurani, R. K. Pant
(2024), pp. 1-5
Closed Access

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