What is he best known for?
The fields of study he is best known for:
- Statistics
- Composite material
- Geotechnical engineering
Huiming Tang spends much of his time researching Landslide, Geotechnical engineering, Artificial neural network, Three gorges and Data mining.
Huiming Tang performs multidisciplinary study in Landslide and Natural hazard in his work.
His Geotechnical engineering study combines topics from a wide range of disciplines, such as Bedrock and Stage.
His work in the fields of Extreme learning machine overlaps with other areas such as Natural disaster.
His work deals with themes such as Regularization, Particle swarm optimization, Feed forward, Probabilistic forecasting and Evolutionary algorithm, which intersect with Data mining.
His biological study spans a wide range of topics, including Surface finish, Geometry, Block theory and Classification of discontinuities.
His most cited work include:
- Geohazards in the three Gorges Reservoir Area, China – Lessons learned from decades of research (106 citations)
- Simulating the process of reservoir-impoundment-induced landslide using the extended DDA method (77 citations)
- Displacement prediction model of landslide based on a modified ensemble empirical mode decomposition and extreme learning machine (67 citations)
What are the main themes of his work throughout his whole career to date?
Landslide, Geotechnical engineering, Three gorges, Algorithm and Artificial neural network are his primary areas of study.
Landslide is a subfield of Geomorphology that Huiming Tang investigates.
His Geotechnical engineering study integrates concerns from other disciplines, such as Shear and Deformation.
His Three gorges research includes themes of Soil science and Colluvium.
His studies examine the connections between Rock mass classification and genetics, as well as such issues in Discontinuity, with regards to Surface finish.
His Artificial intelligence research is multidisciplinary, relying on both Time series and Pattern recognition.
He most often published in these fields:
- Landslide (54.39%)
- Geotechnical engineering (43.42%)
- Three gorges (15.35%)
What were the highlights of his more recent work (between 2019-2021)?
- Landslide (54.39%)
- Geotechnical engineering (43.42%)
- Three gorges (15.35%)
In recent papers he was focusing on the following fields of study:
Huiming Tang mostly deals with Landslide, Geotechnical engineering, Three gorges, Slip and Borehole.
His Landslide research includes elements of Geodesy, Slope stability, Support vector machine, Algorithm and Remote sensing.
He has included themes like Artificial neural network, Hilbert–Huang transform and Selection in his Algorithm study.
His research in Geotechnical engineering is mostly focused on Rock mass classification.
His study in Three gorges is interdisciplinary in nature, drawing from both Soil science and Copula.
His Slip study deals with Geometry intersecting with Classification of discontinuities, Anisotropy, Slope failure, Safety factor and Excavation.
Between 2019 and 2021, his most popular works were:
- A shear constitutive model for describing the full process of the deformation and failure of slip zone soil (12 citations)
- Effect of fluid slippage on eddy growth and non-Darcian flow in rock fractures (9 citations)
- Stratigraphic uncertainty modelling with random field approach (7 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Composite material
- Geotechnical engineering
Huiming Tang mainly investigates Landslide, Geotechnical engineering, Three gorges, Soil science and Slip.
His research integrates issues of Solid mechanics, Computational intelligence, Support vector machine, Stability and Spatial variability in his study of Landslide.
His specific area of interest is Geotechnical engineering, where Huiming Tang studies Overburden pressure.
His study connects Stress and Three gorges.
In his study, Water level is inextricably linked to Groundwater, which falls within the broad field of Soil science.
His Slip research is multidisciplinary, incorporating perspectives in Fluid dynamics, Vector field, Pressure gradient and Slippage.
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