BetaCitation Atlas

RESEARCH PAPER · Archives of Materials Science and Engineering · 2022

Boosting-based model for solving Sm-Co alloy’s maximum energy product prediction task

Read original paper ↗

See where this research leads.

2 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

Boosting-based model for solving Sm-Co alloy’s maximum energy product prediction taskOriginalCURRENT STATE AND PROSPECTS OF USING DIAMOND TOOLS FOR PROCESSING NATURAL AND ARTIFICIAL STONE2Methods and Models of Machine Learning in Chemistry and Material Science Using Solute Diffusion Experiment0

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

2 direct citing papers saved.

  1. CURRENT STATE AND PROSPECTS OF USING DIAMOND TOOLS FOR PROCESSING NATURAL AND ARTIFICIAL STONE

    Ukrainian Journal of Mechanical Engineering and Materials Science · 2024-01-01

    Yurii Boiko, А.М. Trostianchyn

    Read original paper ↗ ·
  2. Methods and Models of Machine Learning in Chemistry and Material Science Using Solute Diffusion Experiment

    Computer Design Systems Theory and Practice · 2024-01-01

    Oleksii Veretiuk, Nazariy Andrushchak

    Read original paper ↗ ·