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Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Ointments Chemical Compounds
Tailings Engineering & Materials Science
backfill Earth & Environmental Sciences
Artificial intelligence Engineering & Materials Science
tailings Earth & Environmental Sciences
Compressive strength Engineering & Materials Science
Recycling Engineering & Materials Science
Learning systems Engineering & Materials Science

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Research Output 2017 2019

  • 199 Citations
  • 10 h-Index
  • 18 Article
3 Citations

Constitutive modelling of cemented paste backfill: A data-mining approach

Qi, C., Chen, Q., Fourie, A., Tang, X., Zhang, Q., Dong, X. & Feng, Y., 10 Feb 2019, In : Construction and Building Materials. 197, p. 262-270 9 p.

Research output: Contribution to journalArticle

Ointments
Data mining
Tailings
Mechanical stability
Curing
1 Citations

A hybrid ensemble method for improved prediction of slope stability

Qi, C. & Tang, X., 25 Oct 2018, In : International Journal for Numerical and Analytical Methods in Geomechanics. 42, 15, p. 1823-1839 17 p.

Research output: Contribution to journalArticle

Slope stability
slope stability
Classifiers
artificial intelligence
prediction
4 Citations
Classifiers
Learning algorithms
Learning systems
Supervised learning
Artificial intelligence
3 Citations
Rocks
Excavation
rock
energy
Rock bursts
12 Citations

A new procedure for recycling waste tailings as cemented paste backfill to underground stopes and open pits

Lu, H., Qi, C., Chen, Q., Gan, D., Xue, Z. & Hu, Y., 1 Jul 2018, In : Journal of Cleaner Production. 188, p. 601-612 12 p.

Research output: Contribution to journalArticle

Tailings
backfill
tailings
Recycling
Iron mines