Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
Likang Wu, Zhaopeng Qiu, Zhi Zheng, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 9178-9186
Open Access | Times Cited: 16

Showing 16 citing articles:

Recommender Systems in the Era of Large Language Models (LLMs)
Zihuai Zhao, Wenqi Fan, Jiatong Li, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 6889-6907
Open Access | Times Cited: 63
A Challenge-based Survey of E-recruitment Recommendation Systems
Yoosof Mashayekhi, Nan Li, Bo Kang, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-33
Open Access | Times Cited: 9
Multi-view enhanced zero-shot node classification
Jiahui Wang, Likang Wu, Hongke Zhao, et al.
Information Processing & Management (2023) Vol. 60, Iss. 6, pp. 103479-103479
Closed Access | Times Cited: 16
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment
Zhi Zheng, Xiao Hu, Zhaopeng Qiu, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 11, pp. 5681-5694
Closed Access | Times Cited: 4
Lbgcn: Lightweight bilinear graph convolutional network with attention mechanism for recommendation
Yu Su, Pingzhu Wei, Linbo Zhu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed 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
SHGCN: Socially Enhanced Heterogeneous Graph Convolutional Network for Multi-behavior Prediction
Lei Zhang, Wuji Zhang, Likang Wu, et al.
ACM Transactions on the Web (2023) Vol. 18, Iss. 1, pp. 1-27
Closed Access | Times Cited: 9
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
Xiao Han, Chen Zhu, Xiao Hu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 1004-1015
Open Access | Times Cited: 2
A LLM-driven and motif-informed linearizing graph transformer for Web API recommendation
Xin Zheng, Guiling Wang, Guosheng Xu, et al.
Applied Soft Computing (2024), pp. 112547-112547
Closed Access | Times Cited: 2
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models
Qi Liu, Yongyi He, Tong Xu, et al.
(2024), pp. 1909-1919
Closed Access | Times Cited: 1
Invariant debiasing learning for recommendation via biased imputation
Ting Bai, Weijie Chen, Cheng Yang, et al.
Information Processing & Management (2024) Vol. 62, Iss. 3, pp. 104028-104028
Closed Access | Times Cited: 1
Communication-efficient federated learning with stagewise training strategy
Yifei Cheng, Shuheng Shen, Xianfeng Liang, et al.
Neural Networks (2023) Vol. 167, pp. 460-472
Closed Access | Times Cited: 2
An Advanced Real-Time Job Recommendation System and Resume Analyser
B. Leela Prasad, K. Srividya, Kranti Kumar, et al.
(2023), pp. 1039-1045
Closed Access | Times Cited: 2
Optimizing Curriculum Vitae Concordance: A Comparative Examination of Classical Machine Learning Algorithms and Large Language Model Architectures
Mohammed Maree, Wala’a Shehada
AI (2024) Vol. 5, Iss. 3, pp. 1377-1390
Open Access
The 5th International Workshop on Talent and Management Computing (TMC'2024)
Hengshu Zhu, Yong Ge, Hui Xiong, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6759-6760
Closed Access
Understanding and Modeling Job Marketplace with Pretrained Language Models
Yaochen Zhu, Liang Wu, Binchi Zhang, et al.
(2024), pp. 5143-5150
Open Access
Enhancing Complex Question Answering via LLM Pseudo-Document and Adaptive Retrieval
Jin Zhou, Zhi Zheng, Yuanjie Lyu, et al.
Lecture notes in computer science (2024), pp. 259-269
Closed Access
Page 1

Scroll to top