Standout Papers

Machine learning assisted design of high entropy alloys with desired property 2019 2026 2021 2023 629
  1. Machine learning assisted design of high entropy alloys with desired property (2019)
    Cheng Wen, Yan Zhang et al. Acta Materialia
  2. Phase prediction in high entropy alloys with a rational selection of materials descriptors and machine learning models (2019)
    Yan Zhang, Cheng Wen et al. Acta Materialia
  3. Modeling solid solution strengthening in high entropy alloys using machine learning (2021)
    Cheng Wen, Changxin Wang et al. Acta Materialia

Immediate Impact

7 from Science/Nature 66 standout
Sub-graph 1 of 21

Citing Papers

Unveiling the Oxidation Mechanisms of High‐entropy Carbides Through Atomic‐scale Dynamic Observation
2025 Standout
Machine Learning in Polymer Research
2025 Standout
5 intermediate papers

Works of Changxin Wang being referenced

Multiobjective Machine Learning-Assisted Discovery of a Novel Cyan–Green Garnet: Ce Phosphors with Excellent Thermal Stability
2022
Modeling solid solution strengthening in high entropy alloys using machine learning
2021 Standout
and 3 more

Author Peers

Author Last Decade Papers Cites
Changxin Wang 847 173 438 885 19 1.5k
Cheng Wen 935 149 479 1078 34 1.9k
Qi Wang 842 110 374 666 19 1.4k
Ziyuan Rao 480 77 664 1155 33 1.5k
Chaoyi Zhu 873 34 694 1528 53 1.9k
Xiaotian Fang 944 45 220 877 45 1.8k
S.H. Goods 917 145 182 1190 45 1.9k
Ryan B. Sills 845 43 138 613 47 1.4k
Tongqi Wen 894 55 688 1608 40 2.0k
Deqing Xue 928 72 91 318 10 1.2k
Hyun Seok Oh 543 401 692 1208 36 1.7k

All Works

Loading papers...

Rankless by CCL
2026