Chongchong Qi
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Central South University, Tianjin University, University of Western Australia, Vision Technology (United States), Yunnan Provincial Science and Technology Departmentas 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
- 0000-0001-5189-1614
- OpenAlex ID
- A5037364559, A5124643111, A5134245887as 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
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 32
A hybrid ensemble method for improved prediction of slope stability,
A hybrid method for improved stability prediction in construction projects: A case study of stope hangingwall stability,
An intelligent approach using micro-seismic monitoring signal clustering and an optimized K-means model to guide the selection of support patterns in underground mines,
An intelligent modelling framework for mechanical properties of cemented paste backfill,
Application of deep neural network in the strength prediction of cemented paste backfill based on a global dataset,
A Real-Time Back-Analysis Technique to Infer Rheological Parameters from Field Monitoring,
Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions,
A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
+24 more
← Authored by 32
A hybrid ensemble method for improved prediction of slope stability,
A hybrid method for improved stability prediction in construction projects: A case study of stope hangingwall stability,
An intelligent approach using micro-seismic monitoring signal clustering and an optimized K-means model to guide the selection of support patterns in underground mines,
An intelligent modelling framework for mechanical properties of cemented paste backfill,
Application of deep neural network in the strength prediction of cemented paste backfill based on a global dataset,
A Real-Time Back-Analysis Technique to Infer Rheological Parameters from Field Monitoring,
Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions,
A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
+24 more
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Summary
Chongchong Qi is a human[1].