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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:

Data-efficient Fine-tuning for LLM-based Recommendation
Xinyu Lin, Wenjie Wang, Yongqi Li, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 365-374
Open Access | Times Cited: 19

Showing 19 citing articles:

Interpretability Research of Deep Learning: A Literature Survey
Biao Xu, Guanci Yang
Information Fusion (2024) Vol. 115, pp. 102721-102721
Closed Access | Times Cited: 12
Application of Artificial Intelligence Technology in the Quality Detection of the Equal Protection Evaluation Report
建双 武
Artificial Intelligence and Robotics Research (2025) Vol. 14, Iss. 01, pp. 104-113
Closed Access
Exploring LoRA for parameter-efficient fine-tuning of LLMs in enhanced algorithm-to-python-source-code translation task
Anoop Thomas, Alistair Noble, Anna C. Wilson, et al.
AIP conference proceedings (2025) Vol. 3280, pp. 020002-020002
Closed Access
Teaching AI to Handle Exceptions: Supervised Fine-Tuning with Human-Aligned Judgment
Matthew DosSantos DiSorbo, Harang Ju, Sinan Aral
(2025)
Closed Access
Traditional vs. AI-generated meteorological risks for emergency predictions
Naoufal Sirri, Christophe Guyeux
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
Lanling Xu, Junjie Zhang, B. Li, et al.
ACM Transactions on Knowledge Discovery from Data (2025)
Closed Access
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
Xinyu Lin, Wenjie Wang, Yongqi Li, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 1816-1826
Open Access | Times Cited: 3
ChatDiff: A ChatGPT-based diffusion model for long-tailed classification
Chenxun Deng, Dafang Li, Ji Lin, et al.
Neural Networks (2024) Vol. 181, pp. 106794-106794
Closed Access | Times Cited: 2
A rapid prediction method for water droplet collection coefficients of multiple airfoils based on incremental learning and multi-modal dynamic fusion
Yuhao Xia, Tingyu Li, Qiang Wang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 10
Closed Access | Times Cited: 1
Learnable Item Tokenization for Generative Recommendation
Wenjie Wang, Honghui Bao, Xinyu Lin, et al.
(2024), pp. 2400-2409
Open Access | Times Cited: 1
Towards Culturally Adaptive Large Language Models in Mental Health: Using ChatGPT as a Case Study
Mahwish Aleem, Imama Zahoor, Mustafa Naseem
(2024), pp. 240-247
Open Access | Times Cited: 1
The 2nd Workshop on Recommendation with Generative Models
Wenjie Wang, Yang Zhang, Xinyu Lin, et al.
(2024), pp. 1715-1718
Open Access
Large Language Models for Recommendation: Past, Present, and Future
Keqin Bao, Jizhi Zhang, Xinyu Lin, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 2993-2996
Closed Access
Distance Matters: Euclidean Embedding Distances for Improved Language Model Generalization and Adaptability
Sultan Alshamrani
IEEE Access (2024) Vol. 12, pp. 103583-103593
Open Access
VSEST 29110 Tool: Using ChatGPT to Evaluate the Implementation of the ISO/IEC 29110 Work Products
Jezreel Mejía, Victor Terrón-Macias, Mirna Muñoz, et al.
IEEE Access (2024) Vol. 12, pp. 120935-120948
Open Access
Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models
Cui Yu, Feng Liu, P. Wang, et al.
(2024), pp. 507-517
Open Access
Semantic Codebook Learning for Dynamic Recommendation Models
Zheqi Lv, Shaoxuan He, Tony L. T. Zhan, et al.
(2024), pp. 9611-9620
Closed Access
Causal-driven Large Language Models with Faithful Reasoning for Knowledge Question Answering
Jiawei Wang, Da Cao, Shaofei Lu, et al.
(2024), pp. 4331-4340
Closed Access
Recommendation in the Era of Generative Artificial Intelligence
Wenjie Wang, Yongfeng Zhang, Tat‐Seng Chua
˜The œSpringer international series on information retrieval (2024), pp. 201-221
Closed Access
Evolution and Implementation of Artificial Intelligence Literacy by Using BERT-Based System
Xianghe Li, Chuntao Ding, Yudi Zhu, et al.
(2024), pp. 563-567
Closed Access
Natural Language Querying on NoSQL Databases: Opportunities and Challenges [Vision Paper]
Wenlong Zhang, Tian Shi, Ping Wang
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 3353-3357
Closed Access
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