Pradeep Hewage
- Electrical and Electronic Engineering
- Environmental Engineering top 10%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Ella PereiraMarcello TrovatiArdhendu BeheraMorteza GhahremaniYonghuai LiuFrancesco PalmieriSushruta MishraVandana Sharma
- Topics
- Energy Load and Power Forecasting (2 papers)Hydrological Forecasting Using AI (2 papers)AI in cancer detection (1 paper)
- Journals
- Soft ComputingPattern Analysis and ApplicationsEdge Hill University Research Information Repository (Edge Hill University)
- Partner nations
- United KingdomIndiaItaly
In The Last Decade
Pradeep Hewage
4 papers receiving 530 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Electrical and Electronic Engineering 164
- Environmental Engineering 133
- Artificial Intelligence 129
- Signal Processing 93
- Management Science and Operations Research 86
Countries citing papers authored by Pradeep Hewage
This map shows the geographic impact of Pradeep Hewage'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 Pradeep Hewage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Hewage more than expected).
Fields of papers citing papers by Pradeep Hewage
This network shows the impact of papers produced by Pradeep Hewage. 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 Pradeep Hewage. The network helps show where Pradeep Hewage may publish in the future.
Co-authorship network of co-authors of Pradeep Hewage
This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Hewage. A scholar is included among the top collaborators of Pradeep Hewage 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 Pradeep Hewage. Pradeep Hewage is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 34 | |
| 4 | 0 | |
| 5 | 147 | |
| 6 | Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather stationbreakdown → | 370 |
| 7 | 2 |
About Pradeep Hewage
Pradeep Hewage is a scholar working on Computer Science Applications, Environmental Engineering and Artificial Intelligence, having authored 7 papers that have together received 553 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (2 papers), Hydrological Forecasting Using AI (2 papers) and AI in cancer detection (1 paper). The work is most often cited by research in Environmental Engineering (133 citations), Signal Processing (93 citations) and Management Science and Operations Research (86 citations). Pradeep Hewage has collaborated with scholars based in United Kingdom, India and Italy. Frequent co-authors include Ella Pereira, Marcello Trovati, Ardhendu Behera, Morteza Ghahremani, Yonghuai Liu, Francesco Palmieri, Sushruta Mishra, Vandana Sharma, Celestine Iwendi and Hui Fang. Their work appears in journals such as Soft Computing, Pattern Analysis and Applications and Edge Hill University Research Information Repository (Edge Hill University).
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.