Khamron Sunat

1.2k total citations
73 papers, 764 citations indexed

About

Khamron Sunat is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Khamron Sunat has authored 73 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Khamron Sunat's work include Machine Learning and ELM (20 papers), Neural Networks and Applications (18 papers) and Metaheuristic Optimization Algorithms Research (17 papers). Khamron Sunat is often cited by papers focused on Machine Learning and ELM (20 papers), Neural Networks and Applications (18 papers) and Metaheuristic Optimization Algorithms Research (17 papers). Khamron Sunat collaborates with scholars based in Thailand, Indonesia and United States. Khamron Sunat's co-authors include Sirapat Chiewchanwattana, Chidchanok Lursinsap, W. Kiranon, Noppadol Khaehintung, Sanun Srisuk, Phaophak Sirisuk, Alfian Ma’arif, Chakchai So–In, Chee‐Hung Henry Chu and S. Mitatha and has published in prestigious journals such as Expert Systems with Applications, Energy Conversion and Management and IEEE Access.

In The Last Decade

Khamron Sunat

64 papers receiving 734 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Khamron Sunat Thailand	15	466	203	147	82	63	73	764
Sirapat Chiewchanwattana Thailand	13	393 0.8×	138 0.7×	109 0.7×	73 0.9×	52 0.8×	42	578
Rania M. Ghoniem Saudi Arabia	17	426 0.9×	120 0.6×	143 1.0×	111 1.4×	82 1.3×	46	859
Bahaa El-din Helmy Egypt	8	299 0.6×	135 0.7×	129 0.9×	75 0.9×	59 0.9×	9	551
Jaffar Atwan Jordan	5	405 0.9×	104 0.5×	106 0.7×	139 1.7×	89 1.4×	11	664
Hassan Shaban Egypt	10	564 1.2×	194 1.0×	175 1.2×	221 2.7×	96 1.5×	19	1.0k
Manoj Kumar Naik India	15	371 0.8×	245 1.2×	95 0.6×	123 1.5×	74 1.2×	32	707
Fernando Fausto Mexico	12	490 1.1×	133 0.7×	127 0.9×	242 3.0×	92 1.5×	17	825
Waleed M. Mohamed Egypt	13	542 1.2×	90 0.4×	137 0.9×	230 2.8×	77 1.2×	23	931
Khaled H. Almotairi Saudi Arabia	18	324 0.7×	125 0.6×	187 1.3×	72 0.9×	76 1.2×	42	820
Salvador Hinojosa Mexico	16	377 0.8×	281 1.4×	116 0.8×	137 1.7×	77 1.2×	36	825

Countries citing papers authored by Khamron Sunat

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Khamron Sunat

This figure shows the co-authorship network connecting the top 25 collaborators of Khamron Sunat. A scholar is included among the top collaborators of Khamron Sunat 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 Khamron Sunat. Khamron Sunat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sunat, Khamron, et al.. (2025). Research on Hybrid Architecture Neural Networks for Time Series Prediction. IEEE Access. 13. 101507–101531.

Sunat, Khamron, et al.. (2025). SmartForest: Optimizing anemia diagnosis with enhanced random forest and XGBoost integration. Results in Engineering. 27. 106442–106442.

Sunat, Khamron, et al.. (2024). The Differentiated Creative Search (DCS): Leveraging differentiated knowledge-acquisition and creative realism to address complex optimization problems. Expert Systems with Applications. 252. 123734–123734. 41 indexed citations

Ma’arif, Alfian, et al.. (2024). Optimizing Predictive Performance: Hyperparameter Tuning in Stacked Multi-Kernel Support Vector Machine Random Forest Models for Diabetes Identification. Journal of Robotics and Control (JRC). 4(6). 896–904. 7 indexed citations

Sunat, Khamron, et al.. (2024). Comparative Evaluation of Imbalanced Data Management Techniques for Solving Classification Problems on Imbalanced Datasets. Statistics Optimization & Information Computing. 12(2). 547–570. 2 indexed citations

Sunat, Khamron, et al.. (2024). An Adaptive Smell Agent Optimization with Binomial Crossover and Linnik Flight for Engineering Optimization Problems. 1–6.

Sunat, Khamron, et al.. (2024). Improving health awareness with real-time monitoring through a three-dimensional visualized digital health avatar. Smart Health. 34. 100522–100522. 1 indexed citations

Sunat, Khamron, et al.. (2024). SMOTE-MRS: A Novel SMOTE-Multiresolution Sampling Technique for Imbalanced Distribution to Improve Prediction of Anemia. IEEE Access. 12. 154675–154699. 2 indexed citations

Sunat, Khamron, et al.. (2024). Cost-sensitive neural network: A grey wolf optimizer-based approach for breast cancer prediction. Expert Systems with Applications. 266. 126176–126176. 2 indexed citations

10.

Sunat, Khamron, et al.. (2023). A New Artificial Intelligence Approach Using Extreme Learning Machine as the Potentially Effective Model to Predict and Analyze the Diagnosis of Anemia. Healthcare. 11(5). 697–697. 48 indexed citations

11.

Sunat, Khamron, et al.. (2019). Parallelized Metaheuristic-Ensemble of Heterogeneous Feedforward Neural Networks for Regression Problems. IEEE Access. 7. 26909–26932. 15 indexed citations

12.

Sunat, Khamron, et al.. (2017). R r-cr -IJADE: An efficient differential evolution algorithm for multilevel image thresholding. Expert Systems with Applications. 90. 272–289. 21 indexed citations

13.

Sunat, Khamron, et al.. (2016). A Thai Color Detection Tool for the Blind on Smartphones. 10. 1 indexed citations

14.

Sunat, Khamron, et al.. (2014). Improving Butterfly Family Classification Using Past Separating Features Extraction in Extreme Learning Machine. 4 indexed citations

15.

Sunat, Khamron, et al.. (2014). An improved grey wolf optimizer for training q-Gaussian Radial Basis Functional-link nets. 209–214. 63 indexed citations

16.

Chiewchanwattana, Sirapat, et al.. (2011). A comparative study of pseudo-inverse computing for the extreme learning machine classifier. 40–45. 5 indexed citations

17.

Sunat, Khamron, et al.. (2010). Hybrid surveillance system by using multi frequency bands enhancement. Microwave and Optical Technology Letters. 52(9). 2154–2158. 1 indexed citations

18.

Sunat, Khamron, Chidchanok Lursinsap, & Chee‐Hung Henry Chu. (2006). The p-recursive piecewise polynomial sigmoid generators and first-order algorithms for multilayer tanh-like neurons. Neural Computing and Applications. 16(1). 33–47. 2 indexed citations

19.

Srisuk, Sanun, et al.. (2003). A General Framework for Image Retrieval using Reinforcement Learning. Image and Vision Computing. 17(5). 2001–2008. 7 indexed citations

20.

Srisuk, Sanun, et al.. (2003). A New Shape Matching Measure for Nonlinear Distorted Object Recognition. 339–348. 7 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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