Anurag Malik

About Anurag Malik

Anurag Malik, With an exceptional h-index of 36 and a recent h-index of 36 (since 2020), a distinguished researcher at Punjab Agricultural University, specializes in the field of Soft Computing, Evaporation and Evapotranspiration Modelling, Drought, Trend, Watershed Modelling.

His recent articles reflect a diverse array of research interests and contributions to the field:

Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert …

Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy

Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks

Application of an explainable glass-box machine learning approach for prognostic analysis of a biogas-powered small agriculture engine

Improved prediction of monthly streamflow in a mountainous region by Metaheuristic-Enhanced deep learning and machine learning models using hydroclimatic data

Trend Identification in Multi-scalar SPI in Uttarakhand, India

Bat algorithm optimised extreme learning machine (Bat‐ELM): a novel approach for Daily River water temperature modelling

Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting

Anurag Malik Information

University

Position

___

Citations(all)

3250

Citations(since 2020)

3215

Cited By

654

hIndex(all)

36

hIndex(since 2020)

36

i10Index(all)

71

i10Index(since 2020)

71

Email

University Profile Page

Google Scholar

Anurag Malik Skills & Research Interests

Soft Computing

Evaporation and Evapotranspiration Modelling

Drought

Trend

Watershed Modelling

Top articles of Anurag Malik

Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert …

Ecological Informatics

2024/5/1

Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy

Computers and Electronics in Agriculture

2024/2/1

Short-term wave power forecasting with hybrid multivariate variational mode decomposition model integrated with cascaded feedforward neural networks

Renewable Energy

2024/2/1

Application of an explainable glass-box machine learning approach for prognostic analysis of a biogas-powered small agriculture engine

Energy

2024/2/1

Improved prediction of monthly streamflow in a mountainous region by Metaheuristic-Enhanced deep learning and machine learning models using hydroclimatic data

Theoretical and applied climatology

2024/1

Trend Identification in Multi-scalar SPI in Uttarakhand, India

2024

Anurag Malik
Anurag Malik

H-Index: 17

Anil Kumar
Anil Kumar

H-Index: 20

Bat algorithm optimised extreme learning machine (Bat‐ELM): a novel approach for Daily River water temperature modelling

The Geographical Journal

2023/3

Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting

Journal of Hydrology

2023/2/1

Assessment of future water demand and supply using WEAP model in Dhasan River Basin, Madhya Pradesh, India

Environmental Science and Pollution Research

2023/2

Ajay Kumar Singh
Ajay Kumar Singh

H-Index: 1

Anurag Malik
Anurag Malik

H-Index: 17

Monitoring vegetation health, water stress, and temperature variation through various indices using landsat 8 data

Indian Journal Of Ecology

2023

Support vector regression model optimized with GWO versus GA algorithms: Estimating daily pan-evaporation

2023/1/1

Anurag Malik
Anurag Malik

H-Index: 17

Ozgur Kisi
Ozgur Kisi

H-Index: 63

Predicting nitrate concentration in river using advanced artificial intelligence techniques: extreme learning machines versus deep learning

2023/1/1

Development of wavelet-based kalman online sequential extreme learning machine optimized with boruta-random forest for drought index forecasting

Engineering Applications of Artificial Intelligence

2023/1/1

Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly reference …

Agricultural Water Management

2023/12/1

Designing a decomposition-based multi-phase pre-processing strategy coupled with EDBi-LSTM deep learning approach for sediment load forecasting

Ecological Indicators

2023/9/1

Quantification of river total phosphorus using integrative artificial intelligence models

Ecological Indicators

2023/9/1

A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm

Expert Systems with Applications

2023/7/15

A comprehensive experimental and computational investigation on estimation of scour depth at bridge abutment: emerging ensemble intelligent systems

Water Resources Management

2023/7

Ecological Floating Bed (EFB) for Decontamination of Polluted Water Bodies

2023/5/4

Anurag Malik
Anurag Malik

H-Index: 17

Multi-steps drought forecasting in arid and humid climate environments: Development of integrative machine learning model

Agricultural Water Management

2023/5/1

See List of Professors in Anurag Malik University(Punjab Agricultural University)

Co-Authors

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