Khamron Sunat
Impact in
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Machine Learning and ELM
- Neural Networks and Applications
- Evolutionary Algorithms and Applications
- Solar Radiation and Photovoltaics
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- Face and Expression Recognition
Papers in
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- Machine Learning and ELM 20
- Neural Networks and Applications 18
- Metaheuristic Optimization Algorithms Research 18
- Evolutionary Algorithms and Applications 6
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- Face and Expression Recognition 8
- Advanced Image and Video Retrieval Techniques 8
- Co-authors
- Sirapat Chiewchanwattana (38 shared papers)Chidchanok Lursinsap (5 shared papers)W. Kiranon (6 shared papers)Noppadol Khaehintung (6 shared papers)Phaophak Sirisuk (3 shared papers)Alfian Ma’arif (2 shared papers)Sanun Srisuk (2 shared papers)Chakchai So–In (1 shared paper)
In The Last Decade
Khamron Sunat
70 papers receiving 770 citations
Peers
Comparison fields: 5 of 106
- Artificial Intelligence 477
- Computer Vision and Pattern Recognition 207
- Computational Theory and Mathematics 83
- Health Information Management 22
- Media Technology 45
Countries citing papers authored by Khamron Sunat
This map shows the geographic impact of Khamron Sunat'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 Khamron Sunat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khamron Sunat more than expected).
Fields of papers citing papers by Khamron Sunat
This network shows the impact of papers produced by Khamron Sunat. 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 Khamron Sunat. The network helps show where Khamron Sunat may publish in the future.
Co-authors
The 15 scholars most cited alongside Khamron Sunat, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 119 | |
| 2 | 2014 | 64 | |
| 3 | 2023 | 53 | |
| 4 | 2024 | 46 | |
| 5 | 2018 | 44 | |
| 6 | 2021 | 41 | |
| 7 | 2017 | 33 | |
| 8 | 2016 | 31 | |
| 9 | 2017 | 25 | |
| 10 | 2012 | 23 | |
| 11 | 2017 | 21 | |
| 12 | 2022 | 21 | |
| 13 | 2013 | 19 | |
| 14 | 2020 | 16 | |
| 15 | 2014 | 15 | |
| 16 | 2019 | 15 | |
| 17 | 2009 | 12 | |
| 18 | 2019 | 10 | |
| 19 | 2013 | 10 | |
| 20 | 2014 | 10 |
About Khamron Sunat
Khamron Sunat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Control and Systems Engineering and Automotive Engineering, having authored 78 papers that have together received 796 indexed citations. Recurring topics across this work include Machine Learning and ELM (20 papers), Neural Networks and Applications (18 papers), Metaheuristic Optimization Algorithms Research (18 papers), Face and Expression Recognition (8 papers), Advanced Image and Video Retrieval Techniques (8 papers), Evolutionary Algorithms and Applications (6 papers), Energy Load and Power Forecasting (5 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). The work is most often cited by research in Artificial Intelligence (477 citations), Computer Vision and Pattern Recognition (207 citations), Computational Theory and Mathematics (83 citations), Health Information Management (22 citations) and Media Technology (45 citations). Khamron Sunat has collaborated with scholars based in Thailand, Indonesia and China. Frequent co-authors include Sirapat Chiewchanwattana, Chidchanok Lursinsap, W. Kiranon, Noppadol Khaehintung, Phaophak Sirisuk, Alfian Ma’arif, Sanun Srisuk, Chakchai So–In, S. Mitatha and Chee‐Hung Henry Chu. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Microwave and Optical Technology Letters, Neurocomputing and IEEE Transactions on Neural Networks and Learning Systems.
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.