Krung Sinapiromsaran
- Artificial Intelligence top 5%
- Imbalanced Data Classification Techniques 14
- Anomaly Detection Techniques and Applications 8
- Machine Learning and Data Classification 4
- Accounting top 10%
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- Electricity Theft Detection Techniques 3
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- Stock Market Forecasting Methods 3
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- Network Security and Intrusion Detection 6
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- Water Systems and Optimization 4
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- Data Mining Algorithms and Applications 3
- Journals
- SHILAP Revista de lepidopterología (3 papers)Applied Mathematics and Computation (1 paper)Applied Intelligence (1 paper)
- Partner nations
- ThailandUnited States
In The Last Decade
Krung Sinapiromsaran
33 papers receiving 479 citations
Peers
Comparison fields: 5 of 90
- Artificial Intelligence 408
- Health Information Management 45
- Accounting 67
- Electrical and Electronic Engineering 190
- Management Science and Operations Research 32
Countries citing papers authored by Krung Sinapiromsaran
This map shows the geographic impact of Krung Sinapiromsaran'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 Krung Sinapiromsaran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krung Sinapiromsaran more than expected).
Fields of papers citing papers by Krung Sinapiromsaran
This network shows the impact of papers produced by Krung Sinapiromsaran. 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 Krung Sinapiromsaran. The network helps show where Krung Sinapiromsaran may publish in the future.
Co-authorship network
The 4 scholars most cited alongside Krung Sinapiromsaran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 1 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 2 | |
| 4 | 2020 | 5 | |
| 5 | 2017 | 0 | |
| 6 | 2017 | 1 | |
| 7 | 2017 | 1 | |
| 8 | 2017 | 35 | |
| 9 | 2016 | 2 | |
| 10 | 2016 | 27 | |
| 11 | 2014 | 3 | |
| 12 | 2014 | 3 | |
| 13 | 2013 | 10 | |
| 14 | 2012 | 2 | |
| 15 | 2011 | 275 | |
| 16 | 2011 | 23 | |
| 17 | 2010 | 3 | |
| 18 | 2010 | 8 | |
| 19 | Mixed integer programming model with non-circular and guided constraints for architectural layout design optimization | 2008 | 1 |
| 20 | 2000 | 8 |
About Krung Sinapiromsaran
Krung Sinapiromsaran is a scholar working on Artificial Intelligence, Management Science and Operations Research and Numerical Analysis, having authored 34 papers that have together received 501 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (14 papers), Anomaly Detection Techniques and Applications (8 papers), Network Security and Intrusion Detection (6 papers), Water Systems and Optimization (4 papers), Machine Learning and Data Classification (4 papers), Electricity Theft Detection Techniques (3 papers), Stock Market Forecasting Methods (3 papers) and Data Mining Algorithms and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (408 citations), Health Information Management (45 citations) and Accounting (67 citations). Krung Sinapiromsaran has collaborated with scholars based in Thailand and United States. Frequent co-authors include Chumphol Bunkhumpornpat, Chidchanok Lursinsap, Todd Munson and Michael C. Ferris. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Mathematics and Computation and Applied Intelligence.
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.