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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:

VIP5: Towards Multimodal Foundation Models for Recommendation
Shijie Geng, Juntao Tan, Shuchang Liu, et al.
(2023)
Open Access | Times Cited: 21

Showing 21 citing articles:

Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights
Junchen Fu, Fajie Yuan, Yu Song, et al.
(2024), pp. 208-217
Open Access | Times Cited: 13
Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems
Peng Liu, Lemei Zhang, Jon Atle Gulla
Transactions of the Association for Computational Linguistics (2023) Vol. 11, pp. 1553-1571
Open Access | Times Cited: 21
Tutorial on Large Language Models for Recommendation
Wenyue Hua, Lei Li, Shuyuan Xu, et al.
(2023), pp. 1281-1283
Closed Access | Times Cited: 16
Large Language Models as Data Augmenters for Cold-Start Item Recommendation
Jianling Wang, Haokai Lu, James Caverlee, et al.
(2024), pp. 726-729
Open Access | Times Cited: 6
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning
Yuyue Zhao, Jiancan Wu, Xiang Wang, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1796-1806
Open Access | Times Cited: 6
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems
Shuyuan Xu, Wenyue Hua, Yongfeng Zhang
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 386-394
Open Access | Times Cited: 3
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
Qijiong Liu, Jieming Zhu, Yanting Yang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6566-6576
Open Access | Times Cited: 2
Exploring chatgpt's performance in news recommendation: A multi-faceted analysis
Hussein Ali Hussein Al Naffakh, Ahmed Dheyaa Radhi, Baqer A Hakim, et al.
BIO Web of Conferences (2024) Vol. 97, pp. 00121-00121
Open Access | Times Cited: 1
FineRec: Exploring Fine-grained Sequential Recommendation
Xiaokun Zhang, Bo Xu, Youlin Wu, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2024), pp. 1599-1608
Open Access | Times Cited: 1
Zero-Shot Content-Based Crossmodal Recommendation System
Federico D’Asaro, S. de Luca, Lorenzo Bongiovanni, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125108-125108
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
Multimodal Pretraining and Generation for Recommendation: A Tutorial
Jieming Zhu, Xin Zhou, Chuhan Wu, et al.
(2024), pp. 1272-1275
Open Access
A Survey of Latent Factor Models in Recommender Systems
Hind I. Alshbanat, Hafida Benhidour, Said Kerrache
(2024)
Open Access
Optimizing Database Query Learning: A Generative AI Approach for Semantic Error Feedback
Abdulrahman AlRabah, Sophia Yang, Abdussalam Alawini
(2024)
Open Access
LLMs for User Interest Exploration in Large-scale Recommendation Systems
Jianling Wang, Haokai Lu, Yifan Liu, et al.
(2024), pp. 872-877
Open Access
Spectral and Geometric Spaces Representation Regularization for Multi-Modal Sequential Recommendation
Z. Li, Xuekong Xu, Zuoli Tang, et al.
(2024) Vol. 4, pp. 1336-1345
Closed Access
Thoroughly Modeling Multi-domain Pre-trained Recommendation as Language
Zekai Qu, Ruobing Xie, Chaojun Xiao, et al.
ACM transactions on office information systems (2024)
Open 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
A survey of latent factor models in recommender systems
Hind I. Alshbanat, Hafida Benhidour, Said Kerrache
Information Fusion (2024), pp. 102905-102905
Open Access
Enhancing E-Commerce Recommendation Systems with Multiple Item Purchase Data: A Bidirectional Encoder Representations from Transformers-Based Approach
Minseo Park, Jangmin Oh
Applied Sciences (2024) Vol. 14, Iss. 16, pp. 7255-7255
Open Access
Visual Summary Thought of Large Vision-Language Models for Multimodal Recommendation
Yuqing Liu, Yu Wang, Yuwei Cao, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 456-461
Closed Access
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