Pradeep Hewage

999 total citations · 1 hit paper
7 papers, 553 citations indexed

About

Pradeep Hewage is a scholar working on Artificial Intelligence, Information Systems and Environmental Engineering. According to data from OpenAlex, Pradeep Hewage has authored 7 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Environmental Engineering. Recurrent topics in Pradeep Hewage's work include Energy Load and Power Forecasting (2 papers), Hydrological Forecasting Using AI (2 papers) and AI in cancer detection (1 paper). Pradeep Hewage is often cited by papers focused on Energy Load and Power Forecasting (2 papers), Hydrological Forecasting Using AI (2 papers) and AI in cancer detection (1 paper). Pradeep Hewage collaborates with scholars based in United Kingdom, India and Italy. Pradeep Hewage's co-authors include Ella Pereira, Marcello Trovati, Ardhendu Behera, Morteza Ghahremani, Yonghuai Liu, Francesco Palmieri, Sushruta Mishra, Vandana Sharma, Celestine Iwendi and Hui Fang and has published in prestigious journals such as Soft Computing, Pattern Analysis and Applications and Edge Hill University Research Information Repository (Edge Hill University).

In The Last Decade

Pradeep Hewage

4 papers receiving 530 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.

Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station

2020 370 citations Pradeep Hewage, Ardhendu Behera et al. Soft Computing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pradeep Hewage United Kingdom	3	164	133	129	93	86	7	553
Ella Pereira United Kingdom	11	185 1.1×	133 1.0×	170 1.3×	119 1.3×	86 1.0×	34	728
Afan Galih Salman Indonesia	9	155 0.9×	189 1.4×	121 0.9×	36 0.4×	62 0.7×	27	548
L. G. B. Ruiz Spain	15	317 1.9×	110 0.8×	198 1.5×	50 0.5×	104 1.2×	31	742
Dalil Hadjout Spain	3	196 1.2×	80 0.6×	157 1.2×	97 1.0×	128 1.5×	4	514
Monidipa Das India	13	72 0.4×	147 1.1×	123 1.0×	66 0.7×	30 0.3×	52	551
Youru Li China	9	127 0.8×	75 0.6×	183 1.4×	81 0.9×	98 1.1×	25	545
Manuel Carranza-García Spain	9	130 0.8×	73 0.5×	121 0.9×	29 0.3×	38 0.4×	16	642
Binsu C. Kovoor India	9	258 1.6×	62 0.5×	177 1.4×	48 0.5×	56 0.7×	37	535
Jin Fan China	18	107 0.7×	119 0.9×	175 1.4×	87 0.9×	18 0.2×	72	807

Countries citing papers authored by Pradeep Hewage

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

7 of 7 papers shown

1.

Hewage, Pradeep, et al.. (2024). Empirical Evaluation of Deep Learning Approaches for Predicting Cervical Cancer in the Health Care Sector. 1–7.

2.

Hewage, Pradeep, et al.. (2024). Random Forest Approach to Predict Emergency Patients’ Hospitalization Duration for the Health Sector. 1–6.

3.

Mishra, Sushruta, et al.. (2024). Enhancing Educational Adaptability: A Review and Analysis of AI-Driven Adaptive Learning Platforms. 1–5. 34 indexed citations

4.

Kumar, Ankit, et al.. (2024). Improved Acceptance model: Unblocking Potential of Blockchain in Banking Space. 1–6.

5.

Hewage, Pradeep, Marcello Trovati, Ella Pereira, & Ardhendu Behera. (2020). Deep learning-based effective fine-grained weather forecasting model. Pattern Analysis and Applications. 24(1). 343–366. 147 indexed citations

6.

Hewage, Pradeep, Ardhendu Behera, Marcello Trovati, et al.. (2020). Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station. Soft Computing. 24(21). 16453–16482. 370 indexed citations breakdown →

7.

Hewage, Pradeep, Mark Anderson, & Hui Fang. (2017). An Agile Farm Management Information System Framework for Precision Agriculture. Edge Hill University Research Information Repository (Edge Hill University). 75–80. 2 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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