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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:

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

Showing 16 citing articles:

A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering
Mehrdad Rostami, Mourad Oussalah, Vahid Farrahi
IEEE Access (2022) Vol. 10, pp. 52508-52524
Open Access | Times Cited: 95
A Deep Learning Framework for Multimodal Course Recommendation Based on LSTM+Attention
Xinwei Ren, Yang Wei, Xianliang Jiang, et al.
Sustainability (2022) Vol. 14, Iss. 5, pp. 2907-2907
Open Access | Times Cited: 23
A comprehensive analysis of concept drift locality in data streams
Gabriel Jonas Aguiar, Alberto Cano
Knowledge-Based Systems (2024) Vol. 289, pp. 111535-111535
Open Access | Times Cited: 4
Comparison of Real-Time and Batch Job Recommendations
Robert Kwieciński, Grzegorz Melniczak, Tomasz Górecki
IEEE Access (2023) Vol. 11, pp. 20553-20559
Open Access | Times Cited: 7
Modeling sentimental bias and temporal dynamics for adaptive deep recommendation system
Idris Rabiu, Naomie Salim, Aminu Da’u, et al.
Expert Systems with Applications (2021) Vol. 191, pp. 116262-116262
Closed Access | Times Cited: 13
Incremental specialized and specialized-generalized matrix factorization models based on adaptive learning rate optimizers
Antônio David Viniski, Jean Paul Barddal, Alceu de Souza Britto, et al.
Neurocomputing (2023) Vol. 552, pp. 126515-126515
Closed Access | Times Cited: 5
Ensemble Learning for Interpretable Concept Drift and Its Application to Drug Recommendation
Yunjuan Peng, Qi Qiu, Dalin Zhang, et al.
International Journal of Computers Communications & Control (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 3
Embarrassingly shallow auto-encoders for dynamic collaborative filtering
Olivier Jeunen, Jan Van Balen, Bart Goethals
User Modeling and User-Adapted Interaction (2022) Vol. 32, Iss. 4, pp. 509-541
Closed Access | Times Cited: 5
Concept drift adaptation with scarce labels: A novel approach based on diffusion and adversarial learning
Liheng Yuan, Fanghua Ye, Wei Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109105-109105
Closed Access
Generative AI-based Approach to Concept Drift Generation in Streaming Text Data
Boris Belov, Peter Panfilov
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS (2024) Vol. 22, pp. 11-20
Open Access
Towards adaptive and transparent tourism recommendations: A survey
Fátima Leal, Bruno Veloso, Benedita Malheiro, et al.
Expert Systems (2023)
Open Access | Times Cited: 1
Exploring the Efforts of IAN-BGRU Justifications in Food Recommender System and its User Preferences
Anjamparuthikal Aboobekar Haris, E. S. Vinothkumar, N. Nithya, et al.
(2023), pp. 847-852
Closed Access | Times Cited: 1
Online job vacancy attractiveness: Increasing views, reactions and conversions
Zuzana Košťálová, Štefan Lyócsa, Miroslav Štefánik
Electronic Commerce Research and Applications (2022) Vol. 55, pp. 101192-101192
Closed Access | Times Cited: 1
Uniformity of Batch Job Recommendations and Real-time Recommendation
Sajid.M.Momin, Sahil Ajamuddin Mujawar -, Sushil Bajirao Magadum -, et al.
International Journal For Multidisciplinary Research (2023) Vol. 5, Iss. 6
Open Access
Time-Aware Explainable Recommendation via Updating Enabled Online Prediction
Tianming Jiang, Jiangfeng Zeng
Entropy (2022) Vol. 24, Iss. 11, pp. 1639-1639
Open Access
Research on Recommender System Based on Curiosity Guided Identity Modification
Xiang Hao, Zhicheng Dong, Peng Gu, et al.
2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture (2021) Vol. 16, pp. 333-340
Closed Access
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