
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:
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks
Yingpeng Du, Di Luo, Rui Yan, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 8363-8371
Open Access | Times Cited: 21
Yingpeng Du, Di Luo, Rui Yan, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 8363-8371
Open Access | Times Cited: 21
Showing 21 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: 69
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: 69
A survey on large language models for recommendation
Likang Wu, Zhi Zheng, Zhaopeng Qiu, et al.
World Wide Web (2024) Vol. 27, Iss. 5
Closed Access | Times Cited: 55
Likang Wu, Zhi Zheng, Zhaopeng Qiu, et al.
World Wide Web (2024) Vol. 27, Iss. 5
Closed Access | Times Cited: 55
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
Yoosof Mashayekhi, Nan Li, Bo Kang, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-33
Open Access | Times Cited: 9
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models
Yunjia Xi, Weiwen Liu, Jianghao Lin, et al.
(2024), pp. 12-22
Open Access | Times Cited: 8
Yunjia Xi, Weiwen Liu, Jianghao Lin, et al.
(2024), pp. 12-22
Open Access | Times Cited: 8
QAIE: LLM-based Quantity Augmentation and Information Enhancement for few-shot Aspect-Based Sentiment Analysis
Hengyang Lu, Tianci Liu, Rui Cong, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103917-103917
Closed Access | Times Cited: 5
Hengyang Lu, Tianci Liu, Rui Cong, et al.
Information Processing & Management (2024) Vol. 62, Iss. 1, pp. 103917-103917
Closed Access | Times Cited: 5
AIREG: Enhanced Educational Recommender System with Large Language Models and Knowledge Graphs
Fadwa Fathi
Lecture notes in computer science (2025), pp. 84-93
Closed Access
Fadwa Fathi
Lecture notes in computer science (2025), pp. 84-93
Closed Access
CareerBERT: Matching resumes to ESCO jobs in a shared embedding space for generic job recommendations
Julian Rosenberger, Lukas Wolfrum, Sven Weinzierl, et al.
Expert Systems with Applications (2025), pp. 127043-127043
Open Access
Julian Rosenberger, Lukas Wolfrum, Sven Weinzierl, et al.
Expert Systems with Applications (2025), pp. 127043-127043
Open Access
A Group Recommendation Method based on Automatically Integrating Members' Preferences via Taking Advantages of LLM
Shanshan Feng, Zhaobo Lang, Jing He, et al.
Information Sciences (2025), pp. 122067-122067
Closed Access
Shanshan Feng, Zhaobo Lang, Jing He, et al.
Information Sciences (2025), pp. 122067-122067
Closed Access
DCRLRec: Dual-domain contrastive reinforcement large language model for recommendation
Zijian Bai, Zheng Yong, Peng Yang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104140-104140
Closed Access
Zijian Bai, Zheng Yong, Peng Yang, et al.
Information Processing & Management (2025) Vol. 62, Iss. 4, pp. 104140-104140
Closed Access
In-depth survey: deep learning in recommender systems—exploring prediction and ranking models, datasets, feature analysis, and emerging trends
Shivangi Gheewala, Shuxiang Xu, Soonja Yeom
Neural Computing and Applications (2025)
Open Access
Shivangi Gheewala, Shuxiang Xu, Soonja Yeom
Neural Computing and Applications (2025)
Open Access
Frequency-Domain Masking and Spatial Interaction for Generalizable Deepfake Detection
X. L. Luo, Yu Wang
Electronics (2025) Vol. 14, Iss. 7, pp. 1302-1302
Open Access
X. L. Luo, Yu Wang
Electronics (2025) Vol. 14, Iss. 7, pp. 1302-1302
Open Access
LLM is Knowledge Graph Reasoner: LLM’s Intuition-Aware Knowledge Graph Reasoning for Cold-Start Sequential Recommendation
Keigo Sakurai, Ren Togo, Takahiro Ogawa, et al.
Lecture notes in computer science (2025), pp. 263-278
Closed Access
Keigo Sakurai, Ren Togo, Takahiro Ogawa, et al.
Lecture notes in computer science (2025), pp. 263-278
Closed Access
Multilingual Hate Speech Detection: A Semi-Supervised Generative Adversarial Approach
Khouloud Mnassri, Reza Farahbakhsh, Noël Crespi
Entropy (2024) Vol. 26, Iss. 4, pp. 344-344
Open Access | Times Cited: 3
Khouloud Mnassri, Reza Farahbakhsh, Noël Crespi
Entropy (2024) Vol. 26, Iss. 4, pp. 344-344
Open Access | Times Cited: 3
The Evolution of Large Language Model: Models, Applications and Challenges
B Sindhu, R P Prathamesh, M B Sameera, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 2
B Sindhu, R P Prathamesh, M B Sameera, et al.
(2024), pp. 1-8
Closed Access | Times Cited: 2
Job Recommendation System Combining Collaborative Filtering and Content Based Filtering
Raden Ibnu Huygenz Widodo, Reza Fahlevi Herdiyanto, Muhammad Thoriq, et al.
(2024)
Open Access | Times Cited: 1
Raden Ibnu Huygenz Widodo, Reza Fahlevi Herdiyanto, Muhammad Thoriq, et al.
(2024)
Open Access | Times Cited: 1
Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation
Wenxuan Zhang, Hongzhi Liu, Zhijin Dong, et al.
Lecture notes in computer science (2024), pp. 280-294
Closed Access | Times Cited: 1
Wenxuan Zhang, Hongzhi Liu, Zhijin Dong, et al.
Lecture notes in computer science (2024), pp. 280-294
Closed Access | Times Cited: 1
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
B. Leela Prasad, K. Srividya, Kranti Kumar, et al.
(2023), pp. 1039-1045
Closed Access | Times Cited: 2
An Innovation of Exploiting Generative Adversarial Networks to Augment Virtual Reality Experiences
Rishi Sikka, Ashendra Kumar Saxena, M N Nachappa
(2024), pp. 1-7
Closed Access
Rishi Sikka, Ashendra Kumar Saxena, M N Nachappa
(2024), pp. 1-7
Closed Access
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
Mohammed Maree, Wala’a Shehada
AI (2024) Vol. 5, Iss. 3, pp. 1377-1390
Open Access
Understanding and Modeling Job Marketplace with Pretrained Language Models
Yaochen Zhu, Liang Wu, Binchi Zhang, et al.
(2024), pp. 5143-5150
Open Access
Yaochen Zhu, Liang Wu, Binchi Zhang, et al.
(2024), pp. 5143-5150
Open Access
Extracting skills for promoting local government digital transformation (DX) using text generative AI
Eiji Kano, Kazuhiko Tsuda
Procedia Computer Science (2024) Vol. 246, pp. 463-472
Open Access
Eiji Kano, Kazuhiko Tsuda
Procedia Computer Science (2024) Vol. 246, pp. 463-472
Open Access
Self-supervised contrastive learning for itinerary recommendation
Lei Chen, Guixiang Zhu
Expert Systems with Applications (2024), pp. 126246-126246
Closed Access
Lei Chen, Guixiang Zhu
Expert Systems with Applications (2024), pp. 126246-126246
Closed Access