Standout Papers

Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships 2015 2026 2018 2022 723
  1. Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships (2015)
    Junshui Ma, Robert P. Sheridan et al. Journal of Chemical Information and Modeling
  2. 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

26 by Nobel laureates 57 from Science/Nature 86 standout
Sub-graph 1 of 23

Citing Papers

Ligand-channel-enabled ultrafast Li-ion conduction
2024 StandoutNature
Autonomous chemical research with large language models
2023 StandoutNature
2 intermediate papers

Works of Junshui Ma being referenced

Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships
2015 Standout

Author Peers

Author Last Decade Papers Cites
Junshui Ma 399 306 73 796 683 40 2.2k
Patrick Riley 109 140 7 1060 674 25 2.2k
Toni Giorgino 118 51 245 346 1448 59 3.1k
Polina Mamoshina 35 32 19 770 1135 23 2.6k
Jinbo Bi 196 185 138 186 324 99 2.8k
Tapio Pahikkala 65 29 54 600 988 107 2.9k
Haiping Lu 508 34 405 144 191 98 2.5k
Cristian R. Munteanu 215 33 104 895 1132 119 2.2k
Ziyu Wang 80 14 57 685 215 13 3.1k
Cao Xiao 231 26 106 879 946 74 2.5k
Yi Shang 55 27 86 162 738 106 2.5k

All Works

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2026