BetaCitation Atlas

RESEARCH PAPER · Spectrochimica Acta Part B Atomic Spectroscopy · 2019

Measurement of the molecular ratio of Aluminum electrolytes using laser-induced breakdown spectroscopy

Hui Feng Lu, Xiaojun Hu, Liang Ma, Meng Li, Bin Cao

Read original paper ↗

See where this research leads.

8 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

Measurement of the molecular ratio of Aluminum electrolytes using laser-induced breakdown spectroscopyOriginalA brief review of new data analysis methods of laser-induced breakdown spectroscopy: machine learning99LIBS as a Spectral Sensor for Monitoring Metallic Molten Phase in Metallurgical Applications—A Review50Deep learning regression for quantitative LIBS analysis35Machine Learning in the Context of Laser‐Induced Breakdown Spectroscopy4基于特征波长快速筛选的润滑油金属元素的激光诱导击穿光谱定量分析研究5High-precision coal classification using laser-induced breakdown spectroscopy (LIBS) coupled with the CST-PCA-based ISSA-KELM4Aluminum Monoxide Bands for Alumina Determination in Cryolites Using Laser-Induced Breakdown Spectroscopy1Thermoelectric coupling-based detection and application research on leakage in aluminum electrolysis cells0

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

8 direct citing papers saved.

  1. A brief review of new data analysis methods of laser-induced breakdown spectroscopy: machine learning

    Applied Spectroscopy Reviews · 2020-11-06

    Dianxin Zhang, Hong Zhang, Yong Xiang Zhao, Yongliang Chen, Chuan Ke, Tao Xu, Yaxiong He

    Read original paper ↗ ·

  2. LIBS as a Spectral Sensor for Monitoring Metallic Molten Phase in Metallurgical Applications—A Review

    Minerals · 2021-09-30

    Ashwin Kumar Myakalwar, Claudio Sandoval, Marizú Velásquez, Daniel G. Sbarbaro, Benjamín Sepúlveda, Jorge Yáñez

    Read original paper ↗ ·

  3. Deep learning regression for quantitative LIBS analysis

    Spectrochimica Acta Part B Atomic Spectroscopy · 2023-02-10

    Simon Van den Eynde, Dillam Jossue Diaz Romero, Isiah Zaplana, Jef R. Peeters

    Read original paper ↗ ·

  4. Machine Learning in the Context of Laser‐Induced Breakdown Spectroscopy

    Unknown journal · 2023-03-17

    Erik Képeš, Jakub Vrábel, Josette El Haddad, A. Harhira, Pavel Pořízka, Jozef Kaiser

    Read original paper ↗ ·

  5. 基于特征波长快速筛选的润滑油金属元素的激光诱导击穿光谱定量分析研究

    Laser & Optoelectronics Progress · 2024-01-01

    刘耀鸿 Liu Yaohong, 傅骁 Fu Xiao, 段发阶 Duan Fajie, 黄锦幡 Huang Jinfan, 闫钰 Yan Yu, 李欣 Li Xin

    Read original paper ↗ ·

  6. High-precision coal classification using laser-induced breakdown spectroscopy (LIBS) coupled with the CST-PCA-based ISSA-KELM

    Journal of Analytical Atomic Spectrometry · 2024-12-03

    Shuaijun Li, Xiaojian Hao, Biming Mo, Junjie Chen, Hongkai Wei, Junjie Ma, Xiaodong Liang, Heng Zhang

    Read original paper ↗ ·

  7. Aluminum Monoxide Bands for Alumina Determination in Cryolites Using Laser-Induced Breakdown Spectroscopy

    Journal of Applied Spectroscopy · 2026-01-01

    A. M. Popov, B. S. Chilikin, A. I. Kuznetsov, E. V. Kungurtsev, П.В. Проценко

    Read original paper ↗ ·

  8. Thermoelectric coupling-based detection and application research on leakage in aluminum electrolysis cells

    Results in Engineering · 2026-05-04

    Gang Yin, Qiaoling Tang, Peng Ji, Yuehan Yan, Min Wang, Junjie Zhang, Feiya Yan

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