Ely Salwana

1.7k total citations · 1 hit paper
44 papers, 925 citations indexed

About

Ely Salwana is a scholar working on Information Systems, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Ely Salwana has authored 44 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Information Systems, 12 papers in Artificial Intelligence and 8 papers in Environmental Engineering. Recurrent topics in Ely Salwana's work include Hydrological Forecasting Using AI (5 papers), Energy Load and Power Forecasting (4 papers) and Stock Market Forecasting Methods (4 papers). Ely Salwana is often cited by papers focused on Hydrological Forecasting Using AI (5 papers), Energy Load and Power Forecasting (4 papers) and Stock Market Forecasting Methods (4 papers). Ely Salwana collaborates with scholars based in Malaysia, Vietnam and Iran. Ely Salwana's co-authors include Amir Mosavi, Shahaboddin Shamshirband, S. Shahab, Mojtaba Nabipour, Pooyan Nayyeri, Kwok‐wing Chau, Shahab S. Band, J.H.M. Tah, Amirhosein Mosavi and Alireza Baghban and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Ely Salwana

37 papers receiving 886 citations

Hit Papers

Deep Learning for Stock Market Prediction 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ely Salwana Malaysia 16 217 215 170 108 99 44 925
Bénédicte Le Grand France 7 104 0.5× 195 0.9× 185 1.1× 84 0.8× 99 1.0× 21 1.1k
B. Eswara Reddy India 17 278 1.3× 283 1.3× 407 2.4× 158 1.5× 83 0.8× 128 1.4k
Muhammad Muneeb Pakistan 11 115 0.5× 425 2.0× 381 2.2× 184 1.7× 87 0.9× 30 1.2k
Hansika Hewamalage Australia 5 285 1.3× 310 1.4× 252 1.5× 35 0.3× 136 1.4× 6 995
J. F. Torres Spain 11 234 1.1× 445 2.1× 316 1.9× 44 0.4× 148 1.5× 22 1.1k
Emmanuel Pintelas Greece 14 354 1.6× 198 0.9× 313 1.8× 109 1.0× 83 0.8× 26 1.1k
Usha A. Kumar India 6 112 0.5× 93 0.4× 236 1.4× 63 0.6× 56 0.6× 10 791
Nazri Mohd Nawi Malaysia 18 79 0.4× 142 0.7× 510 3.0× 244 2.3× 94 0.9× 104 1.3k
Amelia Ritahani Ismail Malaysia 12 108 0.5× 82 0.4× 219 1.3× 141 1.3× 37 0.4× 74 789
Roselina Sallehuddin Malaysia 17 98 0.5× 192 0.9× 267 1.6× 46 0.4× 39 0.4× 69 812

Countries citing papers authored by Ely Salwana

Since Specialization
Citations

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

Fields of papers citing papers by Ely Salwana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ely Salwana

This figure shows the co-authorship network connecting the top 25 collaborators of Ely Salwana. A scholar is included among the top collaborators of Ely Salwana 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 Ely Salwana. Ely Salwana 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.
Band, Shahab S., Rasoul Ameri, Sultan Noman Qasem, et al.. (2024). A two-stage deep learning-based hybrid model for daily wind speed forecasting. Heliyon. 11(1). e41026–e41026. 2 indexed citations
2.
Kadir, Rabiah Abdul, Ely Salwana, & Mahidur R. Sarker. (2024). A Systematic Review of Automated Classification for Simple and Complex Query SQL on NoSQL Database. Computer Systems Science and Engineering. 48(6). 1405–1435.
3.
Salwana, Ely, et al.. (2024). Exploring the Impact of User Experience Elements on Virtual Reality for Emotion Regulation Through mVR-Real App. International Journal of Advanced Computer Science and Applications. 15(10). 1 indexed citations
4.
Salwana, Ely, et al.. (2024). Enhancing Emotion Regulation Through Virtual Reality Design Framework for Social-Emotional Learning (VRSEL). International Journal of Advanced Computer Science and Applications. 15(10).
5.
Li, Shuguang, et al.. (2024). Regression models for predicting the effect of trash rack on flow properties at power intakes. Engineering Applications of Computational Fluid Mechanics. 18(1). 1 indexed citations
6.
Salwana, Ely, et al.. (2023). Customer preference analysis towards online shopping decisions based on optimized feature extraction. Expert Systems. 42(1). 1 indexed citations
7.
Kadir, Rabiah Abdul, et al.. (2022). Complex SQL-NoSQL Query Translation for Data Lake Management. Journal of Computer Science. 18(12). 1179–1188. 1 indexed citations
8.
Zhao, Xi, Shahab S. Band, Said Elnaffar, et al.. (2021). The Implementation of Border Gateway Protocol Using Software-Defined Networks: A Systematic Literature Review. IEEE Access. 9. 112596–112606. 9 indexed citations
9.
Nabipour, Mojtaba, et al.. (2020). Deep Learning for Stock Market Prediction. Entropy. 22(8). 840–840. 218 indexed citations breakdown →
10.
Riahi-Madvar, Hossien, et al.. (2020). Derivation of Optimized Equations for Estimation of Dispersion Coefficient in Natural Streams Using Hybridized ANN With PSO and CSO Algorithms. IEEE Access. 8. 156582–156599. 27 indexed citations
11.
Mosavi, Amirhosein, Pedram Ghamisi, Puhong Duan, et al.. (2020). Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics. Mathematics. 8(10). 1640–1640. 100 indexed citations
12.
Ashraf, Humaira, et al.. (2020). PSDS–Proficient Security Over Distributed Storage: A Method for Data Transmission in Cloud. IEEE Access. 8. 118285–118298. 24 indexed citations
13.
Nabipour, Narjes, Sultan Noman Qasem, Ely Salwana, & Alireza Baghban. (2020). Evolving LSSVM and ELM models to predict solubility of non-hydrocarbon gases in aqueous electrolyte systems. Measurement. 164. 107999–107999. 31 indexed citations
14.
Mosavi, Amirhosein, Saeed Samadianfard, Narjes Nabipour, et al.. (2020). Predicting soil electrical conductivity using multi-layer perceptron integrated with grey wolf optimizer. Journal of Geochemical Exploration. 220. 106639–106639. 24 indexed citations
15.
Mosavi, Amir, Pedram Ghamisi, Puhong Duan, et al.. (2020). Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics. SSRN Electronic Journal. 4 indexed citations
16.
Samadianfard, Saeed, et al.. (2019). Support Vector Regression Integrated with Fruit Fly Optimization Algorithm for River Flow Forecasting in Lake Urmia Basin. Water. 11(9). 1934–1934. 65 indexed citations
17.
Salwana, Ely, et al.. (2019). An Enhanced Distributed Data Aggregation Method in the Internet of Things. Sensors. 19(14). 3173–3173. 48 indexed citations
18.
Ijab, Mohamad Taha, et al.. (2019). CONCEPTUALIZING BIG DATA QUALITY FRAMEWORK FROM A SYSTEMATIC LITERATURE REVIEW PERSPECTIVE. Malaysian Journal of Computer Science. 25–37. 5 indexed citations
19.
Ahmad, Mohammad Nazir, et al.. (2018). An Ontology for the Waste Management Domain. Journal of the Association for Information Systems. 7 indexed citations
20.
Ghazvinei, Pezhman Taherei, Shahaboddin Shamshirband, Shervin Motamedi, Hossein Hassanpour Darvishi, & Ely Salwana. (2017). Performance investigation of the dam intake physical hydraulic model using Support Vector Machine with a discrete wavelet transform algorithm. Computers and Electronics in Agriculture. 140. 48–57. 5 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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