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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:

Incremental learning for matrix factorization in recommender systems
Tong Yu, Ole J. Mengshoel, Alvin Jude, et al.
2021 IEEE International Conference on Big Data (Big Data) (2016), pp. 1056-1063
Closed Access | Times Cited: 18

Showing 18 citing articles:

Hybrid Real-Time Matrix Factorization for Implicit Feedback Recommendation Systems
Chia‐Yu Lin, Li‐Chun Wang, Kun-Hung Tsai
IEEE Access (2018) Vol. 6, pp. 21369-21380
Open Access | Times Cited: 48
A Survey on Stream-Based Recommender Systems
Marie Al-Ghossein, Talel Abdessalem, Anthony Barré
ACM Computing Surveys (2021) Vol. 54, Iss. 5, pp. 1-36
Closed Access | Times Cited: 25
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
A case study of batch and incremental recommender systems in supermarket data under concept drifts and cold start
Antônio David Viniski, Jean Paul Barddal, Alceu de Souza Britto, et al.
Expert Systems with Applications (2021) Vol. 176, pp. 114890-114890
Closed Access | Times Cited: 16
Open Educational Resources Platform Based on Collective Intelligence
Marcela Ribeiro de Oliveira, Israel Barreto Sant'Anna, Guilherme Scariot Ramos, et al.
(2018), pp. 346-353
Closed Access | Times Cited: 16
Statistically Robust Evaluation of Stream-Based Recommender Systems
João Vinagre, Alí­pio Jorge, Conceição Rocha, et al.
IEEE Transactions on Knowledge and Data Engineering (2019) Vol. 33, Iss. 7, pp. 2971-2982
Open Access | Times Cited: 15
GraphSAIL
Yishi Xu, Yingxue Zhang, Wei Guo, et al.
(2020)
Open Access | Times Cited: 14
A Recommender System for Ordering Platform Based on an Improved Collaborative Filtering Algorithm
Chengchao Yu, Qingshi Tang, Zheng Liu, et al.
(2018), pp. 298-302
Closed Access | Times Cited: 10
An Efficient Hybrid Recommendation Model with Deep Neural Networks
Saurabh Sharma, Harish Kumar Shakya
Algorithms for intelligent systems (2022), pp. 463-472
Closed Access | Times Cited: 6
Web Based Video Games Recommendation System Using Collaborative Filtering Method
Ivan Reginald Budianto, Alfi Yusrotis Zakiyyah, Azani Cempaka Sari
(2023), pp. 549-554
Closed Access | Times Cited: 3
Information Retrieval Models for Contact Recommendation in Social Networks
Javier Sanz-Cruzado, Pablo Castells
Lecture notes in computer science (2019), pp. 148-163
Closed Access | Times Cited: 6
Incremental Matrix Factorization for Recommender Systems
Ghazalak Eslami, Foad Ghaderi
(2020), pp. 1-7
Closed Access | Times Cited: 3
Matrix factorization of large scale data using multistage matrix factorization
Prasad Bhavana, Vineet Padmanabhan
Applied Intelligence (2020) Vol. 51, Iss. 6, pp. 4016-4028
Closed Access | Times Cited: 3
Real-time incremental recommendation for streaming data based on apache flink
Zhuo Tang, Zeyu Liu, Kenli Li, et al.
Intelligent Data Analysis (2019) Vol. 23, Iss. 6, pp. 1421-1437
Closed Access | Times Cited: 2
Automatic Grammatical Evolution-Based Optimization of Matrix Factorization Algorithm
Matevž Kunaver, Árpád Bűrmen, Iztok Fajfar
Mathematics (2022) Vol. 10, Iss. 7, pp. 1139-1139
Open Access | Times Cited: 1
Incremental trust-aware matrix factorization for recommender systems: towards Green AI
Ghazalak Eslami, Foad Ghaderi
Applied Intelligence (2022) Vol. 53, Iss. 10, pp. 12599-12612
Closed Access | Times Cited: 1
MFID: An Improved Matrix Factorization Model for Incremental Data
Dipannita Biswas, K. M. Azharul Hasan
(2023), pp. 1-6
Closed Access
Cross-domain incremental recommendation system based on meta learning
Cheng-Wei Shih, Ching-Hu Lu, I‐Shyan Hwang
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 12, pp. 16563-16574
Closed Access
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