BetaCitation Atlas

RESEARCH PAPER · Frontiers in Materials · 2022

Machine Learning Applied to Identify Corrosive Environmental Conditions

Read original paper ↗

See where this research leads.

4 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 Applied to Identify Corrosive Environmental ConditionsOriginalPhysical Metallurgy Guided Machine Learning for Strain‐Induced Precipitation of Nb (C, N) Based on the Orthogonalized Small Data2A comprehensive survey on multimodal computer vision (CV)-assisted corrosion assessment and corrosion prediction5Machine-Learning-Assisted Carbon Dots: From Algorithms to Applications and Beyond3Mechanistic insights into hot corrosion of Ni-based single crystal superalloys driven by thermodynamic-kinetic descriptor0

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

Browse Matching Papers

Papers that cite this work

4 direct citing papers saved.

  1. Physical Metallurgy Guided Machine Learning for Strain‐Induced Precipitation of Nb (C, N) Based on the Orthogonalized Small Data

    steel research international · 2023-05-13

    Xin Li, Qiming Jiang, Chunyuan Cui, Xiaoguang Zhou, Guangming Cao, Zhenyu Liu

    Read original paper ↗ ·
  2. A comprehensive survey on multimodal computer vision (CV)-assisted corrosion assessment and corrosion prediction

    Corrosion Engineering Science and Technology The International Journal of Corrosion Processes and Corrosion Control · 2025-11-14

    Xinjie Yao, Yuheng Wu, Guangsheng Xie, DengYu Zhao, Da‐Hai Xia

    Read original paper ↗ ·
  3. Machine-Learning-Assisted Carbon Dots: From Algorithms to Applications and Beyond

    Molecules · 2026-05-17

    Fengjiao Jia, Hengkai Wang, Deyu Shen, Dandan Sang, Z Z Zhang, Hui Li, Santosh Kumar, Qinglin Wang

    Read original paper ↗ ·
  4. Mechanistic insights into hot corrosion of Ni-based single crystal superalloys driven by thermodynamic-kinetic descriptor

    Journal of Alloys and Compounds · 2026-07-20

    Juncheng Wang, Jian Yao, Zhengfeng Wang, Yan Wang, Zihang Li, Huang Lj, Liming Tan, F M Liu

    Read original paper ↗ ·