Yao Yevenyo Ziggah · Peerford

PeerfordResearch intelligence

Yao Yevenyo Ziggah · Peerford

What they work on

From the classification of each paper

Subfields

Environmental Engineering3429%
Artificial Intelligence2522%
Mechanical Engineering2118%
Oceanography2017%
Mechanics of Materials1715%
Aerospace Engineering1513%
Electrical and Electronic Engineering1513%
Civil and Structural Engineering1412%
Applied Mathematics1210%
Ocean Engineering1210%

Physical Sciences

Topics most written on

Geophysics and Gravity Measurements20
Remote Sensing and LiDAR Applications17
Mineral Processing and Grinding16
Energy Load and Power Forecasting12
Statistical and numerical algorithms12
3D Surveying and Cultural Heritage10
Rock Mechanics and Modeling10
Remote Sensing in Agriculture9
Geochemistry and Geologic Mapping8
Inertial Sensor and Navigation8
Geoscience and Mining Technology7
GNSS positioning and interference7

Who they write with

Their most frequent co-authors, and the papers those co-authors share

Where their co-authors are

46% of their papers have a co-author abroad

papers co-written1234567Home

Most frequent partner countries

China36
United States5
Australia4
Portugal4
Germany2
Ecuador2
India2
Namibia1

Papers with at least one author in that country.

Institutions written with most

China University of GeosciencesCN20 papers
East China University of TechnologyCN16 papers
Chinese Academy of SciencesCN9 papers
Kwame Nkrumah University of Science and TechnologyGH9 papers
Shanghai Astronomical ObservatoryCN8 papers
Henan Polytechnic UniversityCN7 papers
University for Development StudiesGH7 papers
Instituto Superior TécnicoPT4 papers
University of LisbonPT4 papers
University of South AustraliaAU4 papers

Where they publish

Modeling Earth Systems and Environment8
Ghana Mining Journal5
Journal of Sustainable Mining4
Energies3
Engineering and Technology Journal3
Natural Resources Research3
Smart Construction and Sustainable Cities

Development goals addressed

From each paper’s title and abstract

11Sustainable cities and communities10
15Life on land9
6Clean water and sanitation8
7Affordable and clean energy6
13Climate action6
17Partnerships for the goals6
14Life below water4
8

Most cited

Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting
Sustainable Cities and Society7
2020103 citationsWorld top 10%
Novel approach to predicting blast-induced ground vibration using Gaussian process regression
Engineering With Computers13
201998 citationsWorld top 10%
Multivariate Adaptive Regression Splines (MARS) approach to blast-induced ground vibration prediction