Standout Papers

Opportunities and Challenges for Machine Learning-Assisted E... 2022 2026 2023 2024140
  1. Opportunities and Challenges for Machine Learning-Assisted Enzyme Engineering (2024)
    Jason Yang, Frances H. Arnold et al. ACS Central Science
  2. Machine learning enables interpretable discovery of innovative polymers for gas separation membranes (2022)
    Jason Yang, Lei Tao et al. Science Advances
  3. Active learning-assisted directed evolution (2025)
    Jason Yang, Sukhvinder Kaur et al. Nature Communications

Immediate Impact

1 from Science/Nature 51 standout
Sub-graph 1 of 24

Citing Papers

Advances in MXene-based single-atom catalysts for electrocatalytic applications
2025 Standout
Biopolymer‐Based Flame Retardants and Flame‐Retardant Materials
2025 Standout
2 intermediate papers

Works of Jason Yang being referenced

Machine learning enables interpretable discovery of innovative polymers for gas separation membranes
2022 Standout
Designing polymeric membranes with coordination chemistry for high-precision ion separations
2022

Author Peers

Author Last Decade Papers Cites
Jason Yang 232 114 238 186 17 598
L.‐Y. Chu 332 39 116 85 11 671
José Antonio Gil 160 28 336 174 16 559
Musen Zhou 91 97 230 27 22 663
A. Vijayalakshmi 167 132 121 108 31 557
Yuning Zhao 258 38 460 34 26 629
Xiaohua Jia 128 37 129 69 23 599
Zichao Rong 78 26 109 36 15 562
Scott R. Rudge 296 209 45 56 13 622
Mingfeng Chen 120 20 236 63 24 686
Pengpeng Jia 249 116 122 12 28 644

All Works

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2026