BetaCitation Atlas

RESEARCH PAPER · Acta Metallurgica Sinica (English Letters) · 2025

Machine-Learning-Assisted Phase Prediction in High-Entropy Alloys Using Two-Step Feature Selection Strategy

Jiayu Wang, Ke Liu, Lei Zhao, Xing Li, Li Liu, Sujun Wu

Read original paper ↗

See where this research leads.

10 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
Filter Citing Papers
Press Enter or comma to add · × to remove · searches titles and available abstracts
Journals
All journals
Most represented first · select one or more
Explore Terms In These PapersHide SuggestionsShow Suggestions

Original and current center papers stay visible as anchors.
Numbers show citations received
42 direct citing works

Machine-Learning-Assisted Phase Prediction in High-Entropy Alloys Using Two-Step Feature Selection StrategyOriginalAccelerating age hardening behavior of Mg alloy using a data-driven screening strategy guided by machine learning3Target-driven design of high strength yet corrosion resistant medium Mn steel via interpretable machine-learning8Environmentally Assisted Degradation of Metals and Alloys3Prediction of high-entropy alloy phase structure using machine learning and novel electronic structure parameters0Machine learning-assisted design of lightweight refractory high-entropy alloys: A comprehensive review50Machine Learning Prediction on Liquidus Temperature for Stainless Steel by Thermodynamics and Measurement Dual-Database-Driven Model1Descriptors for phase prediction in high-entropy alloys: a review of geometric, thermodynamic, and electronic approaches3Exothermic versus endothermic mixing association with amorphous versus solid-solution outcomes in high-entropy alloys0A review of modern design methods and multi-scale coupling simulation strategies for high-entropy alloys0Analysis of hygrothermal aging mechanism of composites from acoustic emission data using machine learning and LLMs0

Arrows point to the paper being cited. Selecting a paper shows its incoming citations and its known path back to the original paper.

Drag to pan · Use + / − to zoom · Escape to close43 nodes / 53 citation links
Browse Matching Papers

Papers that cite this work

10 direct citing papers saved.

  1. Accelerating age hardening behavior of Mg alloy using a data-driven screening strategy guided by machine learning

    Next Materials · 2025-11-17

    Atwakyire Moses, Qiao Yun Huang, Ding Chen

    Read original paper ↗ ·

  2. Target-driven design of high strength yet corrosion resistant medium Mn steel via interpretable machine-learning

    Materials & Design · 2025-11-25

    Jiayu Wang, Yao Hui Lu, Xiaoya Wang, Siyan Liang, Jie Xiong, Liang Zhen, Li Liu

    Read original paper ↗ ·

  3. Environmentally Assisted Degradation of Metals and Alloys

    Metals · 2025-12-11

    Shidong Wang

    Read original paper ↗ ·

  4. Prediction of high-entropy alloy phase structure using machine learning and novel electronic structure parameters

    SSRN Electronic Journal · 2026-01-01

    Kai Wang, Guoqing Yao, Shilong Xing, Bin Ma, Zhengmao Zou, Yichuan Pan, Zhixin Xia

    Read original paper ↗ ·

  5. Machine learning-assisted design of lightweight refractory high-entropy alloys: A comprehensive review

    Metals Advances · 2026-01-27

    Lei Chen, Gang Qin, Yao Chen, Qi Ming Wang, Liang Wang, Yanqing Su, Ruirun Chen

    Read original paper ↗ ·

  6. Machine Learning Prediction on Liquidus Temperature for Stainless Steel by Thermodynamics and Measurement Dual-Database-Driven Model

    Metallurgical and Materials Transactions B · 2026-03-30

    Chenguang Su, Huashun Chen, Peng Lan, Liang Zhang, cheng Wang

    Read original paper ↗ ·

  7. Descriptors for phase prediction in high-entropy alloys: a review of geometric, thermodynamic, and electronic approaches

    Materials & Design · 2026-04-07

    Peichen Wang, Yulin Li, Ł. Kurpaska, Daixiu Wei, Silvia Bonfanti, Hyoung Seop Kim, Yi Liu, Wenyi Huo

    Read original paper ↗ ·

  8. Exothermic versus endothermic mixing association with amorphous versus solid-solution outcomes in high-entropy alloys

    Journal of materials research/Pratt's guide to venture capital sources · 2026-06-16

    Grzegorz Witold Strzelecki, Katarzyna Nowakowska‐Langier, Paweł Czuma, Krzysztof Zdunek

    Read original paper ↗ ·

  9. A review of modern design methods and multi-scale coupling simulation strategies for high-entropy alloys

    Journal of Alloys and Compounds · 2026-09-01

    Yanghuan Li, Dongzhou Jia, Yongqiang Fu, Qi Gao, Xiaoqiang Wu, Yanbin Zhang, Ying Fu

    Read original paper ↗ ·

  10. Analysis of hygrothermal aging mechanism of composites from acoustic emission data using machine learning and LLMs

    Polymer Testing · 2026-10-01

    Wenhan Tian, Yichuang Zhang, Han Wang, Yan Gao, Hongfei Zhou

    Read original paper ↗ ·
Citation Atlas · A map of research, not a ranking.