Light Gradient Boosting Machine
Light Gradient Boosting Machine is an ensemble learning method that distinguishes itself through a histogram-based gradient boosting framework optimized for efficiency and scalability by leveraging leaf-wise tree growth and effective memory usage.
633
Publications
40.9K
Citations
3.1K
Authors
1.2K
Institutions
Publications per year
2017–2026
633
633
LightGBM: A Highly Efficient Gradient Boosting Decision Tree
Guolin Ke, Qi Meng, Thomas Finley et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2017 · 9.5K citations · Full text
Predicting Hard Rock Pillar Stability Using GBDT, XGBoost, and LightGBM Algorithms
Weizhang Liang, Suizhi Luo, Guoyan Zhao et al. · Mathematics · 2020 · 483 citations · Full text
I.U. Ekanayake, D.P.P. Meddage, Upaka Rathnayake · Case Studies in Construction Materials · 2022 · 464 citations · Full text
Junliang Fan, Xin Ma, Lifeng Wu et al. · Agricultural Water Management · 2019 · 438 citations
1–5 of 633
3.1K
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6
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Shahid Bahonar University of Kerman, Iran
6 publications · 315 citations
6
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6
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6
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1–5 of 3.1K
1.2K

Chinese Academy of Sciences
Beijing, China
20 h-index
64 publications
11.6K citations

Sichuan University
Chengdu, China
12 h-index
42 publications
1.6K citations
University of Chinese Academy of Sciences
Beijing, China
12 h-index
36 publications
1.2K citations
Tongji University
Shanghai, China
11 h-index
29 publications
1.4K citations

King Saud University
Riyadh, Saudi Arabia
10 h-index
16 publications
508 citations
Amirkabir University of Technology
Tehran, Iran
9 h-index
15 publications
892 citations

Sun Yat-sen University
Guangzhou, China
9 h-index
25 publications
799 citations
Wuhan University
Wuhan, China
8 h-index
22 publications
1.1K citations
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32 publications · 1.6K citations
26
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28 publications · 1.3K citations
23
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23 publications · 2.9K citations
22
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14 publications · 459 citations
13
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11 publications · 393 citations
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