| Prediction of compressive and tensile strength of limestone via genetic programming A Baykasoğlu, H Güllü, H Çanakçı, L Özbakır Expert Systems with Applications 35 (1-2), 111-123, 2008 | 393 | 2008 |
| Effect of freeze–thaw cycles on unconfined compressive strength of fine-grained soil treated with jute fiber, steel fiber and lime H Güllü, A Khudir Cold Regions Science and Technology 106, 55-65, 2014 | 188 | 2014 |
| On the rheology of using geopolymer for grouting: A comparative study with cement-based grout included fly ash and cold bonded fly ash H Güllü, A Cevik, KMA Al-Ezzi, ME Gülsan Construction and Building Materials 196, 594-610, 2019 | 148 | 2019 |
| California Bearing Ratio improvement and freeze–thaw performance of fine-grained soils treated with geofiber and synthetic fluid K Hazirbaba, H Gullu Cold regions science and technology 63 (1-2), 50-60, 2010 | 127 | 2010 |
| Prediction of compressive and tensile strength of Gaziantep basalts via neural networks and gene expression programming H Çanakcı, A Baykasoğlu, H Güllü Neural Computing and Applications 18, 1031-1041, 2009 | 124 | 2009 |
| Use of cement based grout with glass powder for deep mixing H Güllü, H Canakci, IF Al Zangana Construction and Building Materials 137, 12-20, 2017 | 104 | 2017 |
| Prediction of peak ground acceleration by genetic expression programming and regression: a comparison using likelihood-based measure H Güllü Engineering Geology 141, 92-113, 2012 | 99 | 2012 |
| A neural network approach for attenuation relationships: An application using strong ground motion data from Turkey H Güllü, E Erçelebi Engineering Geology 93 (3-4), 65-81, 2007 | 95 | 2007 |
| Full 3D nonlinear time history analysis of dynamic soil–structure interaction for a historical masonry arch bridge H Güllü, HS Jaf Environmental Earth Sciences 75, 1-17, 2016 | 92 | 2016 |
| Microtremor measurements for the microzonation of Dinar AM Ansal, R Iyisan, H Güllü Earthquake Microzoning, 2525-2541, 2002 | 88 | 2002 |
| Unconfined compressive strength and post-freeze–thaw behavior of fine-grained soils treated with geofiber and synthetic fluid H Gullu, K Hazirbaba Cold regions science and technology 62 (2-3), 142-150, 2010 | 87 | 2010 |
| On the viscous behavior of cement mixtures with clay, sand, lime and bottom ash for jet grouting H Güllü Construction and Building Materials 93, 891-910, 2015 | 83 | 2015 |
| Response surface methodology for optimization of stabilizer dosage rates of marginal sand stabilized with Sludge Ash and fiber based on UCS performances H Güllü, Hİ Fedakar KSCE Journal of Civil Engineering 21, 1717-1727, 2017 | 77 | 2017 |
| Factorial experimental approach for effective dosage rate of stabilizer: Application for fine-grained soil treated with bottom ash H Güllü Soils and Foundations 54 (3), 462-477, 2014 | 77 | 2014 |
| Function finding via genetic expression programming for strength and elastic properties of clay treated with bottom ash H Güllü Engineering Applications of Artificial Intelligence 35, 143-157, 2014 | 72 | 2014 |
| Performances of using geopolymers made with various stabilizers for deep mixing H Canakci, H Güllü, A Alhashemy Materials 12 (16), 2542, 2019 | 69 | 2019 |
| Effect of near-fault and far-fault earthquakes on a historical masonry mosque through 3D dynamic soil-structure interaction H Güllü, M Karabekmez Engineering Structures 152, 465-492, 2017 | 68 | 2017 |
| Comparison of rheological models for jet grout cement mixtures with various stabilizers H Güllü Construction and Building Materials 127, 220-236, 2016 | 67 | 2016 |
| The rheological, fresh and strength effects of cold-bonded geopolymer made with metakaolin and slag for grouting H Güllü, AA Agha Construction and Building Materials 274, 122091, 2021 | 64 | 2021 |
| A new prediction method for the rheological behavior of grout with bottom ash for jet grouting columns H Güllü Soils and Foundations 57 (3), 384-396, 2017 | 63 | 2017 |
