| Prediction of the influence of loading rate and sugarcane leaves concentration on fracture toughness of sugarcane leaves and epoxy composite using artificial intelligence A Wiangkham, A Ariyarit, P Aengchuan Theoretical and Applied Fracture Mechanics 117, 103188, 2022 | 39 | 2022 |
| Prediction of the mixed mode I/II fracture toughness of PMMA by an artificial intelligence approach A Wiangkham, A Ariyarit, P Aengchuan Theoretical and Applied Fracture Mechanics 112, 102910, 2021 | 32 | 2021 |
| Exploring the drivers for the adoption of metaverse technology in engineering education using PLS-SEM and ANFIS A Wiangkham, R Vongvit Education and Information Technologies 29 (6), 7385-7412, 2024 | 27 | 2024 |
| Prediction of the influence of castor oil–ethanol–diesel blends on single-cylinder diesel engine characteristics using generalized regression neural networks (GRNNs) P Aengchuan, A Wiangkham, N Klinkaew, K Theinnoi, E Sukjit Energy Reports 8, 38-47, 2022 | 22 | 2022 |
| Effects of Alcohol-Blended Waste Plastic Oil on Engine Performance Characteristics and Emissions of a Diesel Engine C Kaewbuddee, S Maithomklang, P Aengchuan, A Wiangkham, ... Energies 16 (3), 1281, 2023 | 12 | 2023 |
| Time-dependent fracture of epoxy resin under mixed-mode I/III loading P Poapongsakorn, A Wiangkham, P Aengchuan, N Noraphaiphipaksa, ... Theoretical and Applied Fracture Mechanics 106, 102445, 2020 | 11 | 2020 |
| Multi-fidelity model using GRNN and ANFIS algorithms-based fracture criterion for predicting mixed-mode I-II of sugarcane leaves/epoxy composite A Wiangkham, A Ariyarit, A Timtong, P Aengchuan Theoretical and Applied Fracture Mechanics 125, 103892, 2023 | 10 | 2023 |
| Predictive modeling of engine performance and emissions for castor oil ethyl ester biodiesel blends: A Gaussian process regression approach A Ariyarit, P Aengchuan, A Wiangkham, A Pumpuang, N Klinkaew, ... Results in Engineering, 102362, 2024 | 9 | 2024 |
| The multi-objective optimization of material properties of 3D print onyx/carbon fiber composites via surrogate model N Petcharat, A Wiangkham, A Pichitkul, S Tantrairatn, P Aengchuan, ... Materials Today Communications 37, 107362, 2023 | 8 | 2023 |
| Experimental and optimization study on the effects of diethyl ether addition to waste plastic oil on diesel engine characteristics A Wiangkham, N Klinkaew, P Aengchuan, P Liplap, A Ariyarit, E Sukjit RSC advances 13 (36), 25464-25482, 2023 | 7 | 2023 |
| Strategic optimization of engine performance and emissions with bio-hydrogenated diesel and biodiesel: A RVEA-GRNNs framework N Klinkaew, A Wiangkham, A Ariyarit, P Aengchuan, A Pumpuang, ... Results in Engineering 24, 103072, 2024 | 3 | 2024 |
| Optimizing parameters of the pack carburizing process with natural energizers to improve the impact and hardness properties of low-carbon steel using NSGA-II-based artificial … A Wiangkham, P Aengchuan, K Sudtachat, A Ariyarit, S Srisuk, ... Journal of Materials Engineering and Performance 33 (24), 13954-13966, 2024 | 3 | 2024 |
| Improvement of Mixed-Mode I/II Fracture Toughness Modeling Prediction Performance by Using a Multi-Fidelity Surrogate Model Based on Fracture Criteria A Wiangkham, P Aengchuan, R Kasemsri, A Pichitkul, S Tantrairatn, ... Materials 15 (23), 8580, 2022 | 3 | 2022 |
| A comparative study of baby boomers and Gen Z on virtual reality adoption for travel intentions: a PLS-MGA and GRNN model A Wiangkham, K Kieanwatana, R Vongvit International Journal of Human–Computer Interaction, 1-22, 2024 | 2 | 2024 |
| Optimization strategies for enhancing diesel engine performance and emissions control with biofuel blends: A multi-objective approach A Wiangkham, A Boontawan, A Pumpuang, P Aengchuan, A Ariyarit, ... Results in Engineering 23, 102819, 2024 | 2 | 2024 |
| Comparative Analysis of MCDM Methods for Prioritizing Influential Factors of Chatgpt Adoption in Higher Education A Wiangkham, R Vongvit Available at SSRN 5040810, 2024 | 1 | 2024 |
| Artificial Intelligence Predictions Effect of Loading Rate, Crack Width and Crack Length Ratio on Mode I Fracture Toughness of PMMA A Wiangkham, P Aengchuan, A Ariyarit Engineering Innovations 4, 15-20, 2023 | 1 | 2023 |
| Journey into virtual reality: Identifying behavioral intentions to use virtual reality in tourism through spectral clustering A Wiangkham, K Kieanwatana, R Vongvit Journal of Open Innovation: Technology, Market, and Complexity 11 (1), 100442, 2025 | | 2025 |
| Investigating Cryogenic and Heat Treatment Effects on Hardness and Wear of Uncoated Carbide Inserts: A Microstructure and AI Approach A Chanpariyavatevong, C Se, A Timtong, W Boongsood, A Wiangkham Journal of Materials Engineering and Performance, 1-13, 2024 | | 2024 |
| AI-driven data fusion modeling for enhanced prediction of mixed-mode I/III fracture toughness A Timtong, A Ariyarit, W Boongsood, P Aengchuan, A Wiangkham Results in Engineering 24, 103289, 2024 | | 2024 |