Muhammad Qamar Raza

2.3k total citations · 2 hit papers
28 papers, 1.7k citations indexed

About

Muhammad Qamar Raza is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Muhammad Qamar Raza has authored 28 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 13 papers in Artificial Intelligence and 6 papers in Control and Systems Engineering. Recurrent topics in Muhammad Qamar Raza's work include Energy Load and Power Forecasting (20 papers), Solar Radiation and Photovoltaics (12 papers) and Photovoltaic System Optimization Techniques (5 papers). Muhammad Qamar Raza is often cited by papers focused on Energy Load and Power Forecasting (20 papers), Solar Radiation and Photovoltaics (12 papers) and Photovoltaic System Optimization Techniques (5 papers). Muhammad Qamar Raza collaborates with scholars based in Australia, Malaysia and Pakistan. Muhammad Qamar Raza's co-authors include Abbas Khosravi, N. Mithulananthan, Chandima Ekanayake, Zuhairi Baharudin, Kwang Y. Lee, Alex Summerfield, Duong Quoc Hung, Hoay Beng Gooi, Jiaming Li and Perumal Nallagownden and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Applied Energy and IEEE Transactions on Power Systems.

In The Last Decade

Muhammad Qamar Raza

28 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

2015 726 citations Muhammad Qamar Raza, Abbas Khosravi Renewable and Sustainable Energy Reviews profile →
On recent advances in PV output power forecast

2016 402 citations Muhammad Qamar Raza, N. Mithulananthan et al. Solar Energy profile →

Peers

Muhammad Qamar Raza

EEE

RESE

CSE

MSOR

Zengqiang Mi China

Jie Shi China

Akın Taşçıkaraoğlu Türkiye

Saifur Rahman United States

Ioannis P. Panapakidis Greece

M. Ghofrani United States

Naran M. Pindoriya India

Jesus Lago Netherlands

Oveis Abedinia Iran

Zengqiang Mi China

Muhammad Qamar Raza

2.3k ×1.7

EEE

1.0k ×1.3

844 ×1.7

RESE

589 ×2.3

CSE

110 ×0.5

MSOR

Citations per year, relative to Muhammad Qamar Raza Muhammad Qamar Raza (= 1×) peers Zengqiang Mi

Countries citing papers authored by Muhammad Qamar Raza

Since Specialization

Citations

This map shows the geographic impact of Muhammad Qamar Raza's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Muhammad Qamar Raza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Qamar Raza more than expected).

Fields of papers citing papers by Muhammad Qamar Raza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Muhammad Qamar Raza. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Muhammad Qamar Raza. The network helps show where Muhammad Qamar Raza may publish in the future.

Co-authorship network of co-authors of Muhammad Qamar Raza

This figure shows the co-authorship network connecting the top 25 collaborators of Muhammad Qamar Raza. A scholar is included among the top collaborators of Muhammad Qamar Raza based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Muhammad Qamar Raza. Muhammad Qamar Raza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ali, Muhammad, et al.. (2022). Modeling synthetic power distribution network and datasets with industrial validation. Journal of Industrial Information Integration. 31. 100407–100407. 7 indexed citations

Akram, Umer, N. Mithulananthan, Muhammad Qamar Raza, Rakibuzzaman Shah, & Federico Milano. (2020). RoCoF Restrictive Planning Framework and Wind Speed Forecast Informed Operation Strategy of Energy Storage System. IEEE Transactions on Power Systems. 36(1). 224–234. 39 indexed citations

Mithulananthan, N., et al.. (2020). Solar PV Power Forecasting Using Modified SVR with Gauss-Newton Method. 226–231. 13 indexed citations

Wang, Huaizhi, Jiaqi Ruan, Bin Zhou, et al.. (2019). Dynamic Data Injection Attack Detection of Cyber Physical Power Systems With Uncertainties. IEEE Transactions on Industrial Informatics. 15(10). 5505–5518. 87 indexed citations

Raza, Muhammad Qamar, N. Mithulananthan, & Alex Summerfield. (2018). Solar output power forecast using an ensemble framework with neural predictors and Bayesian adaptive combination. Solar Energy. 166. 226–241. 57 indexed citations

Raza, Muhammad Qamar, N. Mithulananthan, Jiaming Li, Kwang Y. Lee, & Hoay Beng Gooi. (2018). An Ensemble Framework for Day-Ahead Forecast of PV Output Power in Smart Grids. IEEE Transactions on Industrial Informatics. 15(8). 4624–4634. 82 indexed citations

Raza, Muhammad Qamar, N. Mithulananthan, & Chandima Ekanayake. (2017). A multivariate ensemble framework for short term solar photovoltaic output power forecast. Griffith Research Online (Griffith University, Queensland, Australia). 1–5. 5 indexed citations

Raza, Muhammad Qamar, N. Mithulananthan, & Chandima Ekanayake. (2017). Demand forecast of PV integrated bioclimatic buildings using ensemble framework. Applied Energy. 208. 1626–1638. 36 indexed citations

Kongprawechnon, Waree, et al.. (2016). Adaptive neural network based backstepping control design for MIMO nonlinear systems with actuator nonlinearities. Aircraft Engineering and Aerospace Technology. 88(1). 137–150. 2 indexed citations

10.

Raza, Muhammad Qamar, N. Mithulananthan, & Chandima Ekanayake. (2016). An improved WT and NN ensemble demand forecast model for PV integrated smart buildings. 781–786. 3 indexed citations

11.

Raza, Muhammad Qamar, N. Mithulananthan, Duong Quoc Hung, & Zuhairi Baharudin. (2016). An intelligent hybrid short-term load forecasting model for smart power grids. Sustainable Cities and Society. 31. 264–275. 70 indexed citations

12.

Raza, Muhammad Qamar & Abbas Khosravi. (2015). A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings. Renewable and Sustainable Energy Reviews. 50. 1352–1372. 726 indexed citations breakdown →

13.

Raza, Muhammad Qamar, et al.. (2015). The Effect of Shell Thickness, Insulation and Casting Temperature on Defects Formation During Investment Casting of Ni-base Turbine Blades. Archives of Foundry Engineering. 15(4). 115–123. 6 indexed citations

14.

Baharudin, Zuhairi, et al.. (2014). AR-based Algorithms for Short Term Load Forecast. Research Journal of Applied Sciences Engineering and Technology. 7(6). 1223–1229. 4 indexed citations

15.

Raza, Muhammad Qamar, et al.. (2014). A Comparative Analysis of Neural Network Based Short Term Load Forecast Models for Anomalous Days Load Prediction. Journal of Computers. 9(7). 4 indexed citations

16.

Raza, Muhammad Qamar, et al.. (2014). A comparative analysis of PSO and LM based NN short term load forecast with exogenous variables for smart power generation. 1–6. 14 indexed citations

17.

Islam, Badar ul, Zuhairi Baharudin, Muhammad Qamar Raza, & Perumal Nallagownden. (2014). Optimization of neural network architecture using genetic algorithm for load forecasting. 4669. 1–6. 33 indexed citations

18.

Raza, Muhammad Qamar, et al.. (2013). Neural Network Based STLF Model to Study the Seasonal Impact of Weather and Exogenous Variables. Research Journal of Applied Sciences Engineering and Technology. 6(20). 3729–3735. 20 indexed citations

19.

Raza, Muhammad Qamar, et al.. (2013). Demand and Response in Smart Grids for Modern Power System. Smart Grid and Renewable Energy. 4(2). 133–136. 8 indexed citations

20.

Raza, Muhammad Qamar & Zuhairi Baharudin. (2012). A review on short term load forecasting using hybrid neural network techniques. 846–851. 19 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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