Mashud Rana

1.5k total citations
33 papers, 1.1k citations indexed

About

Mashud Rana is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Mashud Rana has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 18 papers in Artificial Intelligence and 15 papers in Management Science and Operations Research. Recurrent topics in Mashud Rana's work include Energy Load and Power Forecasting (26 papers), Solar Radiation and Photovoltaics (17 papers) and Grey System Theory Applications (10 papers). Mashud Rana is often cited by papers focused on Energy Load and Power Forecasting (26 papers), Solar Radiation and Photovoltaics (17 papers) and Grey System Theory Applications (10 papers). Mashud Rana collaborates with scholars based in Australia, Saudi Arabia and Spain. Mashud Rana's co-authors include Irena Koprinska, Vassilios G. Agelidis, Ashfaqur Rahman, Yang Lin, Alicia Troncoso, Subbu Sethuvenkatraman, Margaret Hamilton, Mohammad Saiedur Rahaman, Mark Goldsworthy and Francisco Martínez‐Álvarez and has published in prestigious journals such as Energy Conversion and Management, Renewable Energy and Solar Energy.

In The Last Decade

Mashud Rana

32 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mashud Rana Australia 18 780 623 368 228 94 33 1.1k
Ioannis P. Panapakidis Greece 18 1.1k 1.4× 217 0.3× 216 0.6× 203 0.9× 176 1.9× 78 1.4k
Yao Dong China 18 949 1.2× 453 0.7× 227 0.6× 425 1.9× 65 0.7× 33 1.3k
Mohamed Massaoudi Qatar 15 604 0.8× 298 0.5× 135 0.4× 105 0.5× 79 0.8× 40 937
Cláudio Monteiro Portugal 19 894 1.1× 316 0.5× 241 0.7× 94 0.4× 130 1.4× 48 1.2k
Gangqiang Li China 12 900 1.2× 521 0.8× 229 0.6× 123 0.5× 55 0.6× 34 1.2k
Jie Shi China 17 1.1k 1.4× 730 1.2× 540 1.5× 86 0.4× 103 1.1× 79 1.6k
Muhammad Qamar Raza Australia 14 1.4k 1.7× 789 1.3× 496 1.3× 237 1.0× 214 2.3× 28 1.7k
Yinghao Chu China 18 631 0.8× 1.1k 1.7× 827 2.2× 81 0.4× 50 0.5× 43 1.6k
Jesus Lago Netherlands 17 1.2k 1.6× 201 0.3× 244 0.7× 281 1.2× 193 2.1× 32 1.5k
Grzegorz Dudek Poland 17 875 1.1× 283 0.5× 83 0.2× 378 1.7× 107 1.1× 59 1.2k

Countries citing papers authored by Mashud Rana

Since Specialization
Citations

This map shows the geographic impact of Mashud Rana'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 Mashud Rana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mashud Rana more than expected).

Fields of papers citing papers by Mashud Rana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mashud Rana. 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 Mashud Rana. The network helps show where Mashud Rana may publish in the future.

Co-authorship network of co-authors of Mashud Rana

This figure shows the co-authorship network connecting the top 25 collaborators of Mashud Rana. A scholar is included among the top collaborators of Mashud Rana 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 Mashud Rana. Mashud Rana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rana, Mashud, et al.. (2024). Multidimensional dynamic attention for multivariate time series forecasting. Applied Soft Computing. 167. 112350–112350.
2.
Rana, Mashud, et al.. (2024). Hierarchical Semi-Supervised Approach for Classifying Activities of Workers Utilising Indoor Trajectory Data. Internet of Things. 28. 101386–101386. 1 indexed citations
3.
Rana, Mashud, et al.. (2023). Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks. Information Fusion. 104. 102180–102180. 24 indexed citations
4.
Rana, Mashud, et al.. (2021). Forecasting Regional Level Solar Power Generation Using Advanced Deep Learning Approach. 1–7. 4 indexed citations
5.
Lin, Yang, Irena Koprinska, & Mashud Rana. (2021). Temporal Convolutional Attention Neural Networks for Time Series Forecasting. 1–8. 37 indexed citations
6.
Rana, Mashud, et al.. (2021). Machine learning approach to investigate the influence of water quality on aquatic livestock in freshwater ponds. Biosystems Engineering. 208. 164–175. 22 indexed citations
7.
Lin, Yang, Irena Koprinska, & Mashud Rana. (2021). SSDNet: State Space Decomposition Neural Network for Time Series Forecasting. 370–378. 24 indexed citations
8.
9.
Lin, Yang, Irena Koprinska, & Mashud Rana. (2020). Temporal Convolutional Neural Networks for Solar Power Forecasting. 1–8. 19 indexed citations
10.
Rana, Mashud, et al.. (2020). Investigating data-driven approaches to understand the interaction between water quality and physiological response of sentinel oysters in natural environment. Computers and Electronics in Agriculture. 175. 105545–105545. 3 indexed citations
11.
Rana, Mashud, Ashfaqur Rahman, & Jiong Jin. (2020). A Data-driven Approach for Forecasting State Level Aggregated Solar Photovoltaic Power Production. Swinburne Research Bank (Swinburne University of Technology). 1–8. 12 indexed citations
12.
Rana, Mashud & Ashfaqur Rahman. (2019). Multiple steps ahead solar photovoltaic power forecasting based on univariate machine learning models and data re-sampling. Sustainable Energy Grids and Networks. 21. 100286–100286. 85 indexed citations
13.
Rana, Mashud, Irena Koprinska, & Vassilios G. Agelidis. (2016). Univariate and multivariate methods for very short-term solar photovoltaic power forecasting. Energy Conversion and Management. 121. 380–390. 174 indexed citations
14.
Rana, Mashud, Irena Koprinska, & Vassilios G. Agelidis. (2016). Solar power forecasting using weather type clustering and ensembles of neural networks. 4962–4969. 25 indexed citations
15.
Koprinska, Irena, Mashud Rana, & Vassilios G. Agelidis. (2015). Correlation and instance based feature selection for electricity load forecasting. Knowledge-Based Systems. 82. 29–40. 168 indexed citations
16.
Rana, Mashud & Irena Koprinska. (2015). Forecasting electricity load with advanced wavelet neural networks. Neurocomputing. 182. 118–132. 126 indexed citations
17.
Koprinska, Irena, Mashud Rana, Alicia Troncoso, & Francisco Martínez‐Álvarez. (2013). Combining pattern sequence similarity with neural networks for forecasting electricity demand time series. 41 indexed citations
18.
Rana, Mashud, Irena Koprinska, Abbas Khosravi, & Vassilios G. Agelidis. (2013). Prediction intervals for electricity load forecasting using neural networks. 1–8. 11 indexed citations
19.
Rana, Mashud, et al.. (2011). Routing security in mobile ad hoc networks : an extension of DSR. Journal of Emerging Trends in Engineering and Applied Sciences. 2(1). 155–159. 1 indexed citations
20.
Koprinska, Irena, Mashud Rana, & Vassilios G. Agelidis. (2011). Yearly and seasonal models for electricity load forecasting. 1474–1481. 26 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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