Standout Papers

A review on deep learning for recommender systems: challenges and remedies 2018 2026 2020 2023 287
  1. A review on deep learning for recommender systems: challenges and remedies (2018)
    Zeynep Batmaz, Ali Yürekli et al. Artificial Intelligence Review

Immediate Impact

57 standout
Sub-graph 1 of 23

Citing Papers

AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships
2025 Standout
A Survey on Intelligent Network Operations and Performance Optimization Based on Large Language Models
2025 Standout
2 intermediate papers

Works of Ali Yürekli being referenced

A review on deep learning for recommender systems: challenges and remedies
2018 Standout

Author Peers

Author Last Decade Papers Cites
Ali Yürekli 205 77 154 6 300
Zeynep Batmaz 233 81 173 9 332
Ignacio Fernández-Tobías 177 62 106 10 230
Bottyán Németh 192 102 111 3 256
István Pilászy 192 102 111 2 255
Qingyi Hua 168 104 109 10 302
Miquel Montaner 218 85 101 4 310
Miguel A. Rueda-Morales 153 55 58 4 181
Yan‐Shuo Chang 150 79 109 14 234
Wensi Xi 294 85 109 6 325
Antonio Hernando 210 66 110 12 296

All Works

Loading papers...

Rankless by CCL
2026