| Neural network study of hidden-charm pentaquark resonances H Mutuk arXiv preprint arXiv:1904.09756, 2019 | 40 | 2019 |
| Nonrelativistic treatment of fully-heavy tetraquarks as diquark-antidiquark states H Mutuk The European Physical Journal C 81 (4), 1-14, 2021 | 39 | 2021 |
| Mass Spectra and Decay Constants of Heavy‐Light Mesons: A Case Study of QCD Sum Rules and Quark Model H Mutuk Advances in High Energy Physics 2018 (1), 8095653, 2018 | 33 | 2018 |
| Quasinormal modes of dS and AdS black holes: Feedforward neural network method A Övgün, İ Sakallı, H Mutuk International Journal of Geometric Methods in Modern Physics 18 (10), 2150154, 2021 | 25 | 2021 |
| Cornell potential: a neural network approach H Mutuk Advances in High Energy Physics 2019 (1), 3105373, 2019 | 22 | 2019 |
| Spectrum of ccb¯ b¯, bcc¯ c¯, and bcb¯ b¯ tetraquark states in the dynamical diquark model H Mutuk Physics Letters B 834, 137404, 2022 | 18 | 2022 |
| Molecular interpretation of X(3960) as state H Mutuk The European Physical Journal C 82 (12), 1-8, 2022 | 17 | 2022 |
| The status of baryon: investigating quark–diquark model H Mutuk The European Physical Journal Plus 137, 1-18, 2022 | 17 | 2022 |
| Monte-Carlo based QCD sum rules analysis of X 0 (2900) and X 1 (2900) H Mutuk Journal of Physics G: Nuclear and Particle Physics 48 (5), 055007, 2021 | 16 | 2021 |
| X(3872) and its heavy quark spin symmetry partners in QCD sum rules H Mutuk, Y Saraç, H Gümüş, A Özpineci The European Physical Journal C 78, 1-11, 2018 | 16 | 2018 |
| S‐Wave Heavy Quarkonium Spectra: Mass, Decays, and Transitions H Mutuk Advances in High Energy Physics 2018 (1), 5961031, 2018 | 16 | 2018 |
| Shielding behaviors and analysis of mechanical treatment of cements containing nanosized powders H Mutuk, T Mutuk, H Gümüş, B Mesci Oktay Acta Physica Polonica A 130 (1), 172-174, 2016 | 15 | 2016 |
| A study of excited states in hypercentral constituent quark model via artificial neural network H Mutuk The European Physical Journal A 56 (5), 146, 2020 | 14 | 2020 |
| Asymptotic iteration and variational methods for Gaussian potential H Mutuk Pramana 92 (4), 66, 2019 | 14 | 2019 |
| Prediction of wear properties of graphene-Si3N4 reinforced titanium hybrid composites by artificial neural network T Mutuk, M Gürbüz, H Mutuk Materials Research Express 7 (8), 086511, 2020 | 10 | 2020 |
| A neural network study of Blasius equation H Mutuk Neural Processing Letters 51, 2179-2194, 2020 | 10 | 2020 |
| Measurement of the terrestrial and anthropogenic radionuclide concentrations in Bafra Kizilirmak delta (bird sanctuary) in Turkey H Mutuk, H Gümüş, Ş Turhan Radiation protection dosimetry 158 (3), 350-354, 2013 | 9 | 2013 |
| Energy levels of one-dimensional anharmonic oscillator via neural networks H Mutuk Modern Physics Letters A 34 (12), 1950088, 2019 | 8 | 2019 |
| Cornell Potential: A Neural Network Approach, Adv H Mutuk High Energy Phys 3105373, 2019, 2019 | 7 | 2019 |
| Mass spectrum of exotic state via artificial neural network H Mutuk International Journal of Modern Physics A 34 (28), 1950167, 2019 | 6 | 2019 |
