Standout Papers

Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships 2016 2026 2019 2022 352
  1. Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships (2016)
    Robert P. Sheridan, Wei Min Wang et al. Journal of Chemical Information and Modeling

Immediate Impact

61 standout
Sub-graph 1 of 23

Citing Papers

Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment
2025 Standout
Artificial intelligence in drug development
2025 Standout
4 intermediate papers

Works of Wei Min Wang being referenced

Extreme Gradient Boosting as a Method for Quantitative Structure–Activity Relationships
2016 Standout

Author Peers

Author Last Decade Papers Cites
Wei Min Wang 27 7 11 142 96 15 401
Nereida Rodríguez-Fernández 21 6 157 113 16 446
Enas Elgeldawi 17 95 90 10 391
Wojtek Kowalczyk 6 1 2 195 153 13 385
Yuzhong Peng 8 63 53 24 386
Kenneth Holmström 23 3 155 15 12 392
Thomas Savage 42 2 3 29 119 21 389
B. Basavanagoud 27 159 28 32 405
Fahimeh Ghasemi 10 1 193 164 21 419
C. Fonteix 54 4 5 139 36 23 396
Jie Dong 56 2 2 73 32 21 341

All Works

Loading papers...

Rankless by CCL
2026