Ely Salwana
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
Papers in
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- Semantic Web and Ontologies 4
- Co-authors
- Amir Mosavi (8 shared papers)Shahaboddin Shamshirband (7 shared papers)S. Shahab (2 shared papers)Mojtaba Nabipour (1 shared paper)Pooyan Nayyeri (1 shared paper)Kwok‐wing Chau (3 shared papers)J.H.M. Tah (1 shared paper)Amirhosein Mosavi (2 shared papers)
In The Last Decade
Ely Salwana
35 papers receiving 886 citations
Ely Salwana's Hit Papers
Peers
Comparison fields: 5 of 126
- Management Science and Operations Research 223
- Health Informatics 9
- Environmental Engineering 100
- Artificial Intelligence 165
- Finance 51
Countries citing papers authored by Ely Salwana
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
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-authors
The 25 scholars most cited alongside Ely Salwana, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning for Stock Market Prediction Hit paper breakdown → | 2020 | 226 |
| 2 | 2020 | 104 | |
| 3 | 2019 | 95 | |
| 4 | 2019 | 66 | |
| 5 | 2019 | 55 | |
| 6 | 2019 | 49 | |
| 7 | 2019 | 32 | |
| 8 | 2020 | 31 | |
| 9 | 2023 | 30 | |
| 10 | 2020 | 28 | |
| 11 | 2020 | 25 | |
| 12 | 2020 | 25 | |
| 13 | 2020 | 24 | |
| 14 | 2020 | 19 | |
| 15 | 2021 | 15 | |
| 16 | 2017 | 15 | |
| 17 | 2020 | 13 | |
| 18 | 2021 | 9 | |
| 19 | 2018 | 8 | |
| 20 | An Ontology for the Waste Management Domain | 2018 | 7 |
About Ely Salwana
Ely Salwana is a scholar working on Information Systems, Artificial Intelligence, Environmental Engineering, Management Science and Operations Research and Management Information Systems, having authored 41 papers that have together received 923 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (5 papers), Stock Market Forecasting Methods (4 papers), Semantic Web and Ontologies (4 papers), Energy Load and Power Forecasting (4 papers), Hydrology and Watershed Management Studies (4 papers), Big Data and Business Intelligence (3 papers), Hydrology and Sediment Transport Processes (3 papers) and Hydraulic flow and structures (3 papers). The work is most often cited by research in Management Science and Operations Research (223 citations), Health Informatics (9 citations), Environmental Engineering (100 citations), Artificial Intelligence (165 citations) and Finance (51 citations). Ely Salwana has collaborated with scholars based in Malaysia, Iran and Vietnam. Frequent co-authors include Amir Mosavi, Shahaboddin Shamshirband, S. Shahab, Mojtaba Nabipour, Pooyan Nayyeri, Kwok‐wing Chau, J.H.M. Tah, Amirhosein Mosavi, Saeed Samadianfard and Alireza Baghban. Their work appears in journals such as IEEE Access, Engineering Applications of Computational Fluid Mechanics, Measurement, Water and IEEE Sensors Journal.
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.