Standout Papers

Deep-Learning-Based Drug–Target Interaction Prediction 2016 2026 2019 2022 371
  1. Deep-Learning-Based Drug–Target Interaction Prediction (2017)
    Ming Wen, Zhimin Zhang et al. Journal of Proteome Research
  2. TargetNet: a web service for predicting potential drug–target interaction profiling via multi-target SAR models (2016)
    Zhi‐Jiang Yao, Jie Dong et al. Journal of Computer-Aided Molecular Design

Immediate Impact

1 by Nobel laureates 3 from Science/Nature 65 standout
Sub-graph 1 of 23

Citing Papers

Deep learning in spectral analysis: Modeling and imaging
2024 Standout
Self-Driving Laboratories for Chemistry and Materials Science
2024 Standout
9 intermediate papers

Works of Ming Wen being referenced

ADME Properties Evaluation in Drug Discovery: Prediction of Caco-2 Cell Permeability Using a Combination of NSGA-II and Boosting
2016
BioTriangle: a web-accessible platform for generating various molecular representations for chemicals, proteins, DNAs/RNAs and their interactions
2016
and 3 more

Author Peers

Author Last Decade Papers Cites
Ming Wen 987 235 182 577 289 45 1.9k
Cecilia Bossa 644 155 46 735 439 52 1.8k
Alexander Sedykh 764 107 89 1242 117 50 2.2k
Christoph Helma 626 243 100 762 483 51 2.0k
Ying Zhang 1563 109 118 370 282 65 2.5k
Warren Casey 952 248 20 603 211 65 2.8k
Hongbin Yang 1190 283 86 1413 62 67 3.0k
Mohammad Goodarzi 613 240 769 211 111 78 2.2k
Günter Klambauer 1436 82 31 1480 206 38 2.7k
Dong Li 1966 241 50 249 277 115 3.1k
Hongsheng Liu 1569 168 46 484 721 89 2.7k

All Works

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Rankless by CCL
2026