Muhammad Shoaib - Concepedia

Author

Muhammad Shoaib

Bahauddin Zakariya University ORCID

Also Known As

Dr. Muhammad Shoaib, M. N. Shoaib, M. Shoaib, Muhammad Azmat, Muhammad N. Shoaib, Muhammad Shoaib, Shoaib, Muhammad

Publications

1.6K

Citations

H-Index

Concepts

All Affiliations

Bahauddin Zakariya University University of Auckland Beijing Normal University Pakistan Agricultural Research Council National University of Sciences and Technology

About

Muhammad Shoaib is an author at Bahauddin Zakariya University specializing in engineering, hydrology, and geography.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	19	21	1.1K
2	Public Health	2	2	116
3	Social Sciences	2	2	149
4	Medicine	1	1	24
5	Chemical Engineering	1	1	15

Muhammad Shoaib

Publications

1.3K

Citations

H-Index

Page 1

	Year	Citations
Comparative study of different wavelet based neural network models for rainfall–runoff modeling Muhammad Shoaib, Asaad Y. Shamseldin, Bruce W. Melville Journal of Hydrology Different WaveletSurface RunoffEngineeringCivil EngineeringRainfall–runoff Modeling	2014	150
Multiscale spatiotemporal characteristics of landscape patterns, hotspots, and influencing factors for soil erosion Lijia Guo, Ruimin Liu, Cong Men, The Science of The Total Environment Landscape PatternsSoil ErosionMultiscale Spatiotemporal CharacteristicsEngineeringErosion Prediction	2021	107
A comparison between wavelet based static and dynamic neural network approaches for runoff prediction Muhammad Shoaib, Asaad Y. Shamseldin, Bruce W. Melville, Journal of Hydrology Surface RunoffEngineeringWater ResourcesCivil EngineeringGeography	2016	97
Temporal variations of levels and sources of health risk associated with heavy metals in road dust in Beijing from May 2016 to April 2018 Cong Men, Yifan Wang, Ruimin Liu, Chemosphere Environmental MonitoringRoad DustHealth RiskEngineeringEnvironmental Health	2020	92
Runoff forecasting using hybrid Wavelet Gene Expression Programming (WGEP) approach Muhammad Shoaib, Asaad Y. Shamseldin, Bruce W. Melville, Journal of Hydrology EngineeringData ScienceWater ResourcesPredictive AnalyticsCivil Engineering	2015	88
<scp>Spatio‐temporal</scp> evaluation of gridded precipitation products for the <scp>high‐altitude Indus basin</scp> Zakir Hussain Dahri, Fulco Ludwig, Eddy Moors, International Journal of Climatology EngineeringEarth System ScienceGridded Precipitation ProductsEarth SciencePrecipitation	2021	73
Sequence-based statistical downscaling and its application to hydrologic simulations based on machine learning and big data Qingrui Wang, Jing Huang, Ruimin Liu, Journal of Hydrology Hydrological ScienceEngineeringMachine LearningData ScienceSequence-based Statistical Downscaling	2020	62
Comparative Assessment of Reference Evapotranspiration Estimation Using Conventional Method and Machine Learning Algorithms in Four Climatic Regions Ali Raza, Muhammad Shoaib, Muhammad Abrar Faiz, Pure and Applied Geophysics ClimatologyMeteorologyComparative AssessmentNumerical Weather PredictionEnvironmental Monitoring	2020	60
A Comparative Study of Various Hybrid Wavelet Feedforward Neural Network Models for Runoff Forecasting Muhammad Shoaib, Asaad Y. Shamseldin, Sher Khan, Water Resources Management Forecasting MethodologyEngineeringData ScienceWater ResourcesCivil Engineering	2017	59
Flood estimation in ungauged catchments: application of artificial intelligence based methods for Eastern Australia Kamran Aziz, Md. Mahmudul Haque, Ataur Rahman, Stochastic Environmental Research and Risk Assessment Artificial IntelligenceHydrological DisasterEastern AustraliaEngineeringWater Resources	2016	51

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