Sujin Bureerat

6.1k total citations · 1 hit paper
167 papers, 4.9k citations indexed

About

Sujin Bureerat is a scholar working on Computational Theory and Mathematics, Civil and Structural Engineering and Artificial Intelligence. According to data from OpenAlex, Sujin Bureerat has authored 167 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Computational Theory and Mathematics, 72 papers in Civil and Structural Engineering and 51 papers in Artificial Intelligence. Recurrent topics in Sujin Bureerat's work include Advanced Multi-Objective Optimization Algorithms (112 papers), Topology Optimization in Engineering (61 papers) and Metaheuristic Optimization Algorithms Research (47 papers). Sujin Bureerat is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (112 papers), Topology Optimization in Engineering (61 papers) and Metaheuristic Optimization Algorithms Research (47 papers). Sujin Bureerat collaborates with scholars based in Thailand, Türkiye and Saudi Arabia. Sujin Bureerat's co-authors include Nantiwat Pholdee, Ali Rıza Yıldız, Sadiq M. Sait, Natee Panagant, Betül Sultan Yıldız, Ghanshyam G. Tejani, Sumit Kumar, Suwin Sleesongsom, Vivek Patel and Pranav Mehta and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Heat and Mass Transfer and Expert Systems with Applications.

In The Last Decade

Sujin Bureerat

161 papers receiving 4.8k 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.

A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems

2023 102 citations Betül Sultan Yıldız, Sumit Kumar et al. Knowledge-Based Systems profile →

Peers

Countries citing papers authored by Sujin Bureerat

Since Specialization

Citations

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

Fields of papers citing papers by Sujin Bureerat

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujin Bureerat

This figure shows the co-authorship network connecting the top 25 collaborators of Sujin Bureerat. A scholar is included among the top collaborators of Sujin Bureerat 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 Sujin Bureerat. Sujin Bureerat 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:

20 of 20 papers shown

#	Work	Indexed citations
1	A Comparison of Modern Metaheuristics for Multi-Objective Optimization of Transonic Aeroelasticity in a Tow-Steered Composite Wing 2025 ·Aerospace ·(unknown), (unknown), Natee Panagant, Sujin Bureerat, Nantiwat Pholdee, (unknown)	1
2	The Effect of Multiple Additional Sampling with Multi-Fidelity, Multi-Objective Efficient Global Optimization Applied to an Airfoil Design 2024 ·Symmetry ·(unknown), (unknown), (unknown), Sujin Bureerat, Masahiro Kanazaki, Atthaphon Ariyarit	0
3	Grid-based many-objective optimiser for aircraft conceptual design with multiple aircraft configurations 2023 ·Engineering Applications of Artificial Intelligence ·(unknown), Natee Panagant, Nantiwat Pholdee, Sujin Bureerat, Parvathy Rajendran, Ali Rıza Yıldız	34
4	The multi-objective optimization of material properties of 3D print onyx/carbon fiber composites via surrogate model 2023 ·Materials Today Communications ·(unknown), (unknown), (unknown), (unknown), (unknown), Sujin Bureerat, (unknown), (unknown), Atthaphon Ariyarit	10
5	Simultaneous aerodynamic and structural optimisation of a low-speed horizontal-axis wind turbine blade using metaheuristic algorithms 2023 ·Materials Testing ·(unknown), Natee Panagant, Sujin Bureerat, (unknown), (unknown), Ali Rıza Yıldız, Nantiwat Pholdee	14
6	Comparative study of recent metaheuristics for solving a multiobjective transonic aeroelastic optimization of a composite wing 2023 ·Acta Mechanica ·(unknown), Natee Panagant, Sujin Bureerat, (unknown), Nantiwat Pholdee	1
7	Many‑objective meta-heuristic methods for solving constrained truss optimisation problems: A comparative analysis 2023 ·MethodsX ·Natee Panagant, Sumit Kumar, Ghanshyam G. Tejani, Nantiwat Pholdee, Sujin Bureerat	46
8	Multi-Objective Reliability-Based Partial Topology Optimization of a Composite Aircraft Wing 2023 ·Symmetry ·Suwin Sleesongsom, Sumit Kumar, Sujin Bureerat	5
9	A Comparative Study of State-of-the-art Metaheuristics for Solving Many-objective Optimization Problems of Fixed Wing Unmanned Aerial Vehicle Conceptual Design 2023 ·Archives of Computational Methods in Engineering ·(unknown), Natee Panagant, (unknown), Sujin Bureerat, (unknown), Sumit Kumar, Nantiwat Pholdee, Betül Sultan Yıldız, Ali Rıza Yıldız	73
10	Sweep Blade Design for an Axial Wind Turbine using a Surrogate-assisted Differential Evolution Algorithm 2023 ·SHILAP Revista de lepidopterología ·Nantiwat Pholdee, Sumit Kumar, Sujin Bureerat, (unknown), (unknown)	6
11	A novel hybrid arithmetic optimization algorithm for solving constrained optimization problems breakdown → 2023 ·Knowledge-Based Systems ·Betül Sultan Yıldız, Sumit Kumar, Natee Panagant, Pranav Mehta, Sadiq M. Sait, Ali Rıza Yıldız, Nantiwat Pholdee, Sujin Bureerat, Seyedali Mirjalili	102
12	Adaptive boundary sine cosine optimizer with population reduction for robustness analysis of finite time horizon systems 2021 ·Applied Soft Computing ·(unknown), Nantiwat Pholdee, Sujin Bureerat, Harald Pfifer	2
13	Optimal fin planting of splayed multiple cross-sectional pin fin heat sinks using a strength pareto evolutionary algorithm 2 2021 ·(unknown), Sujin Bureerat	1
14	The Effect of Multi-Additional Sampling for Multi-Fidelity Efficient Global Optimization 2020 ·Symmetry ·Atthaphon Ariyarit, (unknown), Masahiro Kanazaki, Sujin Bureerat	6
15	An Approach Combining an Efficient and Global Evolutionary Algorithm with a Gradient-Based Method for Airfoil Design Problems 2020 ·Smart Science ·Atthaphon Ariyarit, Masahiro Kanazaki, Sujin Bureerat	11
16	Sine-cosine optimization algorithm for the conceptual design of automobile components 2020 ·Materials Testing ·(unknown), Nantiwat Pholdee, Sujin Bureerat, Ali Rıza Yıldız, (unknown), (unknown)	80
17	A novel hybridized metaheuristic technique in enhancing the diagnosis of cross‐sectional dent damaged offshore platform members 2019 ·Computational Intelligence ·Wonsiri Punurai, (unknown), Nantiwat Pholdee, Sujin Bureerat, (unknown)	5
18	Synthesis of four-bar linkage motion generation using optimization algorithms 2019 ·(unknown), Suwin Sleesongsom, Natee Panagant, Sujin Bureerat	5
19	Optimum radii and heights of U-shaped baffles in a square duct heat exchanger using surrogate-assisted optimization 2017 ·Sujin Bureerat, (unknown), Nantiwat Pholdee	3
20	Evaluation of Head Stack Assembly Pitch Static Attitude by Means of Finite Element Analysis: A Case Study of 2.5-in Hard Disk Drives 2010 ·(unknown), Sujin Bureerat	2

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.

Explore authors with similar magnitude of impact