Chuanqi Li
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Central South University, Harbin Engineering University, Yingkou Institute of Technologyas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0009-0003-4503-0625
- OpenAlex ID
- A5041698589, A5047113136, A5078207274, A5122781151, A5136216845as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 38
A Kernel Extreme Learning Machine-Grey Wolf Optimizer (KELM-GWO) Model to Predict Uniaxial Compressive Strength of Rock,
An ensemble model of explainable soft computing for failure mode identification in reinforced concrete shear walls,
A new hybrid model of information entropy and unascertained measurement with different membership functions for evaluating destressability in burst-prone underground mines,
Application of metaheuristic optimization algorithms-based three strategies in predicting the energy absorption property of a novel aseismic concrete material,
Application of Six Metaheuristic Optimization Algorithms and Random Forest in the uniaxial compressive strength of rock prediction,
Application of supervised random forest paradigms based on optimization and post-hoc explanation in underground stope stability prediction,
Application of SVR models built with AOA and Chaos mapping for predicting tunnel crown displacement induced by blasting excavation,
Artificial neural network response assessment of a single footing on soft soil reinforced by rigid inclusions
+30 more
← Authored by 38
A Kernel Extreme Learning Machine-Grey Wolf Optimizer (KELM-GWO) Model to Predict Uniaxial Compressive Strength of Rock,
An ensemble model of explainable soft computing for failure mode identification in reinforced concrete shear walls,
A new hybrid model of information entropy and unascertained measurement with different membership functions for evaluating destressability in burst-prone underground mines,
Application of metaheuristic optimization algorithms-based three strategies in predicting the energy absorption property of a novel aseismic concrete material,
Application of Six Metaheuristic Optimization Algorithms and Random Forest in the uniaxial compressive strength of rock prediction,
Application of supervised random forest paradigms based on optimization and post-hoc explanation in underground stope stability prediction,
Application of SVR models built with AOA and Chaos mapping for predicting tunnel crown displacement induced by blasting excavation,
Artificial neural network response assessment of a single footing on soft soil reinforced by rigid inclusions
+30 more
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Summary
Chuanqi Li is a human[1].