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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:

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community
Qingyao Ai, Ting Bai, Zhao Cao, et al.
AI Open (2023) Vol. 4, pp. 80-90
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

LLMs in e-commerce: A comparative analysis of GPT and LLaMA models in product review evaluation
Konstantinos I. Roumeliotis, Nikolaos D. Tselikas, Dimitrios Κ. Nasiopoulos
Natural Language Processing Journal (2024) Vol. 6, pp. 100056-100056
Open Access | Times Cited: 35
Measuring the Interpretability and Explainability of Model Decisions of Five Large Language Models
Kaito Fujiwara, Miyu Sasaki, Akira Nakamura, et al.
(2024)
Open Access | Times Cited: 14
Multimodal Integration in Large Language Models: A Case Study with Mistral LLM
N. Sulaiman, Farizal Hamzah
(2024)
Open Access | Times Cited: 13
Cross-Domain Knowledge Transfer without Retraining to Facilitating Seamless Knowledge Application in Large Language Models
Jae Hoon Kim, Hye Rin Kim
Research Square (Research Square) (2024)
Open Access | Times Cited: 12
Efficient Model Compression and Knowledge Distillation on LLama 2: Achieving High Performance with Reduced Computational Cost
Qionglin Huangpu, Huixiang Gao
(2024)
Open Access | Times Cited: 11
GPT-Neo-CRV: Elevating Information Accuracy in GPT-Neo with Cross-Referential Validation
Xingyu Xiong, Mingliang Zheng
(2024)
Open Access | Times Cited: 10
Dynamic Content Generation in Large Language Models with Real-Time Constraints
Jianhua Hu, Huixiang Gao, Qing Yuan, et al.
(2024)
Open Access | Times Cited: 10
Enhancing Contextual Understanding of Mistral LLM with External Knowledge Bases
Miyu Sasaki, Natsumi Watanabe, Tsukihito Komanaka
Research Square (Research Square) (2024)
Open Access | Times Cited: 8
Large Language Models and Future of Information Retrieval: Opportunities and Challenges
ChengXiang Zhai
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 481-490
Closed Access | Times Cited: 8
Designing Incremental Knowledge Enrichment in Generative Pre-trained Transformers
Emilia A. Kowalczyk, Mateusz Nowakowski, Z Brzezińska
Research Square (Research Square) (2024)
Open Access | Times Cited: 7
Reinforcement Learning for Optimized Information Retrieval in LLaMA
Chien-Hung Tu, Hsien-Jung Hsu, Shih-Wen Chen
Research Square (Research Square) (2024)
Open Access | Times Cited: 6
Generative Information Systems Are Great If You Can Read
Adam Roegiest, Zuzana Pinkosova
(2024), pp. 165-177
Closed Access | Times Cited: 6
Adaptive Query Contextualization Algorithm for Enhanced Information Retrieval in Alpaca LLM
Chih‐Wei Kuo, Yueh-Fen Huang, Hsiao-Ching Tsai
Research Square (Research Square) (2023)
Open Access | Times Cited: 13
Probabilistic Inference Layer Integration in Mistral LLM for Accurate Information Retrieval
Bing Wang, Shiyu Wang, Qian Ouyang
Research Square (Research Square) (2024)
Open Access | Times Cited: 5
Database Chatbot Success: User-Centered Design With LLMs
Sarah Pinon, Corentin Burnay, Isabelle Linden, et al.
Journal of Computer Information Systems (2025), pp. 1-22
Closed Access
Research on Anti-Fraud Recognition Method for Financial Transactions Based on Large Language Model RAG Technology
江 陶
Operations Research and Fuzziology (2025) Vol. 15, Iss. 01, pp. 386-396
Closed Access
Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era
Sunhao Dai, Xu Chen, Shicheng Xu, et al.
(2025), pp. 998-1001
Closed Access
Bridging Risk and Innovation: Generative AI in Scenario Creation
Niklas Holtz, Sven Wittfoth, Jorge Marx Gómez
Procedia Computer Science (2025) Vol. 256, pp. 1888-1895
Open Access
Large Language Models for Recommendation: Progresses and Future Directions
Jizhi Zhang, Keqin Bao, Yang Zhang, et al.
(2024), pp. 1268-1271
Open Access | Times Cited: 4
Overcoming LLM Challenges using RAG-Driven Precision in Coffee Leaf Disease Remediation
S Selva Kumar, Afifah Khan Mohammed Ajmal Khan, Imadh Ajaz Banday, et al.
(2024) Vol. 33, pp. 1-6
Open Access | Times Cited: 4
IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues
Diji Yang, Jinmeng Rao, Kezhen Chen, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 730-740
Open Access | Times Cited: 4
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
Jizhi Zhang, Keqin Bao, Yang Zhang, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 10
Large Language Models for Recommendation: Progresses and Future Directions
Keqin Bao, Jizhi Zhang, Yang Zhang, et al.
(2023)
Closed Access | Times Cited: 10
A Survey of Reasoning with Foundation Models
Jiankai Sun, Chuanyang Zheng, Enze Xie, et al.
(2023)
Open Access | Times Cited: 8
LLaMALoop: Enhancing Information Retrieval in LLaMA with Semantic Relevance Feedback Loop
Hsiao-Ching Tsai, Chih-Wei Kuo, Yueh-Fen Huang
Research Square (Research Square) (2023)
Open Access | Times Cited: 7
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