Sandhya Samarasinghe

3.1k citations
121 papers · 2.4k · h-index 24

Impact in

Papers in

Sandhya Samarasinghe

107 papers receiving 2.3k citations

Peers

Sandhya Samarasinghe
Comparison fields: 5 of 177
  • Environmental Engineering 215
  • Renewable Energy, Sustainability and the Environment 189
  • Building and Construction 145
  • Artificial Intelligence 316
  • Animal Science and Zoology 64
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Yingyi Chen China
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Citations per year

Countries citing papers authored by Sandhya Samarasinghe

Since Specialization
Citations

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

Fields of papers citing papers by Sandhya Samarasinghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sandhya Samarasinghe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sandhya Samarasinghe Line = papers co-authored together Sandhya Samarasinghe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition
2006368
2 2011236
3 2016190
4 2014138
5 2006121
6 2011120
7 200562
8 201155
9 200951
10
Prediction of Wheat Production Using Artificial Neural Networks and Investigating Indirect Factors Affecting It: Case Study in Canterbury Province, New Zealand
201551
11 201044
12 200739
13 202338
14 200735
15 201235
16 201234
17 200432
18 200930
19 200828
20 200828

About Sandhya Samarasinghe

Sandhya Samarasinghe is a scholar working on Artificial Intelligence, Molecular Biology, Cellular and Molecular Neuroscience, Building and Construction and Agronomy and Crop Science, having authored 121 papers that have together received 2.4k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (22 papers), Neural Networks and Applications (12 papers), Smart Agriculture and AI (10 papers), Wood Treatment and Properties (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Gene expression and cancer classification (7 papers), Cancer-related Molecular Pathways (6 papers) and Milk Quality and Mastitis in Dairy Cows (6 papers). The work is most often cited by research in Environmental Engineering (215 citations), Renewable Energy, Sustainability and the Environment (189 citations), Building and Construction (145 citations), Artificial Intelligence (316 citations) and Animal Science and Zoology (64 citations). Sandhya Samarasinghe has collaborated with scholars based in New Zealand, United States and Jordan. Frequent co-authors include Don Kulasiri, Majeed Safa, Subana Shanmuganathan, Jennifer Salmond, Kim N. Dirks, Naresh Singhal, Hong Ling, R. Bickerstaffe, Graham Strickert and Zhibin Sun. Their work appears in journals such as Biosystems, Journal of Theoretical Biology, Silva Fennica, Energy and Journal of Food Engineering.

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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