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
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Citing Papers

AI-driven multi-omics integration for multi-scale predictive modeling of genotype-environment-phenotype relationships
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2 intermediate papers

Works of Zeynep Batmaz being referenced

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

Author Peers

Author Last Decade Papers Cites
Zeynep Batmaz 233 173 5 81 9 332
Ali Yürekli 205 154 4 77 6 300
Ruiqin Wang 159 181 6 63 20 345
Al Borchers 250 117 25 89 6 362
Qingyi Hua 168 109 9 104 10 302
Fernando Díez 245 104 35 73 25 327
Wensi Xi 294 109 23 85 6 325
Antonio Hernando 210 110 11 66 12 296
Tzu-Kuo Huang 173 135 29 63 7 327
Simon Dooms 225 90 22 91 20 267
Jiangzhou Deng 214 106 15 99 16 285

All Works

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2026