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:
INMO
Yunfan Wu, Qi Cao, Huawei Shen, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022)
Open Access | Times Cited: 14
Yunfan Wu, Qi Cao, Huawei Shen, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022)
Open Access | Times Cited: 14
Showing 14 citing articles:
Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems
Shuo Liu, Junhao Shen, Hong Qian, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4260-4271
Open Access | Times Cited: 13
Shuo Liu, Junhao Shen, Hong Qian, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 4260-4271
Open Access | Times Cited: 13
Overview of QuantumCLEF 2024: The Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF
Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, et al.
Lecture notes in computer science (2024), pp. 260-282
Closed Access | Times Cited: 4
Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, et al.
Lecture notes in computer science (2024), pp. 260-282
Closed Access | Times Cited: 4
QuantumCLEF 2025 - The Second Edition of the Quantum Computing Lab at CLEF
Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, et al.
Lecture notes in computer science (2025), pp. 450-458
Closed Access
Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, et al.
Lecture notes in computer science (2025), pp. 450-458
Closed Access
QuantumCLEF - Quantum Computing at CLEF
Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, et al.
Lecture notes in computer science (2024), pp. 482-489
Closed Access | Times Cited: 3
Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, et al.
Lecture notes in computer science (2024), pp. 482-489
Closed Access | Times Cited: 3
qCLEF: A Proposal to Evaluate Quantum Annealing for Information Retrieval and Recommender Systems
Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, et al.
Lecture notes in computer science (2023), pp. 97-108
Closed Access | Times Cited: 6
Andrea Pasin, Maurizio Ferrari Dacrema, Paolo Cremonesi, et al.
Lecture notes in computer science (2023), pp. 97-108
Closed Access | Times Cited: 6
Potential factors-embedding group recommendation for online education
Yang Qing, Yifeng Wang, Zezheng Wu, et al.
Deleted Journal (2024) Vol. 27, Iss. 1
Open Access | Times Cited: 1
Yang Qing, Yifeng Wang, Zezheng Wu, et al.
Deleted Journal (2024) Vol. 27, Iss. 1
Open Access | Times Cited: 1
Selecting Top-k Data Science Models by Example Dataset
Mengying Wang, Sheng Guan, Hanchao Ma, et al.
(2023), pp. 2686-2695
Closed Access | Times Cited: 2
Mengying Wang, Sheng Guan, Hanchao Ma, et al.
(2023), pp. 2686-2695
Closed Access | Times Cited: 2
Flexibly manipulating popularity bias for tackling trade-offs in recommendation
Hiroki Okamura, Keisuke Maeda, Ren Togo, et al.
Information Processing & Management (2023) Vol. 61, Iss. 2, pp. 103606-103606
Closed Access | Times Cited: 2
Hiroki Okamura, Keisuke Maeda, Ren Togo, et al.
Information Processing & Management (2023) Vol. 61, Iss. 2, pp. 103606-103606
Closed Access | Times Cited: 2
Continual Collaborative Distillation for Recommender System
Gyuseok Lee, SeongKu Kang, Wonbin Kweon, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 1495-1505
Open Access
Gyuseok Lee, SeongKu Kang, Wonbin Kweon, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 1495-1505
Open Access
ModsNet: Performance-Aware Top- k Model Search Using Exemplar Datasets
Mengying Wang, Hanchao Ma, Sheng Guan, et al.
Proceedings of the VLDB Endowment (2024) Vol. 17, Iss. 12, pp. 4457-4460
Closed Access
Mengying Wang, Hanchao Ma, Sheng Guan, et al.
Proceedings of the VLDB Endowment (2024) Vol. 17, Iss. 12, pp. 4457-4460
Closed Access
INCL: A Graph-based Recommendation Model Using Contrastive Learning for Inductive Scenario
Yuma Dose, Shuichiro Haruta, Takahiro Hara
Journal of Information Processing (2024) Vol. 32, pp. 929-937
Open Access
Yuma Dose, Shuichiro Haruta, Takahiro Hara
Journal of Information Processing (2024) Vol. 32, pp. 929-937
Open Access
Improving Dropout in Graph Convolutional Networks for Recommendation via Contrastive Loss
Hiroki Okamura, Keisuke Maeda, Ren Togo, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 1
Hiroki Okamura, Keisuke Maeda, Ren Togo, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2023), pp. 1-5
Closed Access | Times Cited: 1
Popularity Debiasing from Exposure to Interaction in Collaborative Filtering
Yuanhao Liu, Qi Cao, Huawei Shen, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 1801-1805
Open Access
Yuanhao Liu, Qi Cao, Huawei Shen, et al.
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2023), pp. 1801-1805
Open Access
A Graph-Based Recommendation Model Using Contrastive Learning for Inductive Scenario
Yuma Dose, Shuichiro Haruta, Takahiro Hara
(2023), pp. 174-181
Closed Access
Yuma Dose, Shuichiro Haruta, Takahiro Hara
(2023), pp. 174-181
Closed Access
