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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.

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Showing 13 citing articles:

Rag-Fusion: A New Take on Retrieval Augmented Generation
Zackary Rackauckas
International Journal on Natural Language Computing (2024) Vol. 13, Iss. 1, pp. 37-47
Open Access | Times Cited: 17
Virtual Reality and Language Models, a New Frontier in Learning
Juan Izquierdo-Domenech, Jordi Linares-Pellicer, Isabel Ferri-Molla
International Journal of Interactive Multimedia and Artificial Intelligence (2024) Vol. 8, Iss. 5, pp. 46-46
Open Access | Times Cited: 9
Retrieval-Augmented Generation Approach: Document Question Answering using Large Language Model
Kurnia Muludi, Kaira Milani Fitria, Joko Triloka, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 3
Open Access | Times Cited: 4
Leveraging Generative AI for Enhanced Predictive Maintenance and Anomaly Detection in Manufacturing
Vamshi Sai Mugala
(2025), pp. 261-279
Closed Access
Large language model for interpreting research policy using adaptive two-stage retrieval augmented fine-tuning method
Runtao Ren, Jian Ma, Zhimin Zheng
Expert Systems with Applications (2025), pp. 127330-127330
Open Access
Modeler in a box: how can large language models aid in the simulation modeling process?
Erika Frydenlund, Joseph Martínez, José J. Padilla, et al.
SIMULATION (2024) Vol. 100, Iss. 7, pp. 727-749
Closed Access | Times Cited: 3
Enhancing Complex Linguistic Tasks Resolution Through Fine-Tuning LLMs, RAG and Knowledge Graphs (Short Paper)
Filippo Bianchini, Marco Calamo, Francesca De Luzi, et al.
Lecture notes in business information processing (2024), pp. 147-155
Closed Access | Times Cited: 2
Enhancement of Large Language Models' Performance in Diabetes Education: Retrieval-Augmented Generation Approach (Preprint)
Dingqiao Wang, J. K. Liang, Jinguo Ye, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e58041-e58041
Open Access | Times Cited: 2
TodBR: Target-Oriented Dialog with Bidirectional Reasoning on Knowledge Graph
Zongfeng Qu, Zhitong Yang, Bo Wang, et al.
Applied Sciences (2024) Vol. 14, Iss. 1, pp. 459-459
Open Access | Times Cited: 1
Towards a small language model powered chain‐of‐reasoning for open‐domain question answering
Jihyeon Roh, Minho Kim, Kyoungman Bae
ETRI Journal (2024) Vol. 46, Iss. 1, pp. 11-21
Open Access | Times Cited: 1
QA-RAG: Leveraging Question and Answer-based Retrieved Chunk Re-Formatting for Improving Response Quality During Retrieval-augmented Generation
Kaushik Roy, Yuxin Zi, Chathurangi Shyalika, et al.
(2024)
Open Access | Times Cited: 1
A Retrieval-Augmented Generation Based Large Language Model Benchmarked On a Novel Dataset
Kieran Pichai
Journal of Student Research (2023) Vol. 12, Iss. 4
Open Access | Times Cited: 4
Using retrieval-augmented generation to elevate low-code developer skills
Олексій Наход
Artificial Intelligence (2023) Vol. 28, Iss. AI.2023.28(3), pp. 126-130
Closed Access | Times Cited: 2
Gemini MultiPDF Chatbot: Multiple Document RAG Chatbot using Gemini Large Language Model
Mohd Kaif, Sanskar Sharma, Sadhana Rana
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 5, pp. 24-30
Open Access
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