| Application of the guideline for overbreak control in granitic rock masses in Korean tunnels Y Kim, HK Moon Tunnelling and underground space technology 35, 67-77, 2013 | 37 | 2013 |
| A study on the establishment of Tunnel Contour Quality Index considering construction cost Y Kim, A Bruland Tunnelling and Underground Space Technology 50, 218-225, 2015 | 22 | 2015 |
| Effect of rock mass quality on construction time in a road tunnel Y Kim, A Bruland Tunnelling and underground space technology 24 (5), 584-591, 2009 | 22 | 2009 |
| Application of artificial neural networks in assessing mining subsidence risk Y Kim, SS Lee Applied Sciences 10 (4), 1302, 2020 | 20 | 2020 |
| Analysis and evaluation of tunnel contour quality index Y Kim, A Bruland Automation in Construction 99, 223-237, 2019 | 19 | 2019 |
| A study on the development of an artificial neural network model for the prediction of ground subsidence over abandoned mines in Korea Y Kim, M Son, HK Moon, SA Lee Geosystem Engineering 20 (3), 163-171, 2017 | 12 | 2017 |
| An analysis of artificial intelligence algorithms applied to rock engineering Y Kim Tunnel and Underground Space 31 (1), 25-40, 2021 | 10 | 2021 |
| A study on the subsidence risk evaluation using 3-D rock mass collapse simulation for abandoned mines M Son, HK Moon, Y Kim, SA Lee Geosystem Engineering 20 (1), 51-58, 2017 | 8 | 2017 |
| An analysis of excavation cycle time for Korean tunnels and the comparison with the Standard of Construction Estimate Y Kim, HM Kim, SS Lee Journal of Korean Tunnelling and Underground Space Association 21 (1), 137-153, 2019 | 7 | 2019 |
| A case study on the design of tunnel excavation in geological anomalies JH Yoo, YK Kim, CH Chung Tunnel and Underground Space 21 (5), 341-348, 2011 | 7 | 2011 |
| Tunnel contour quality index in a drill and blast tunnel: definition, analysis and effects Y Kim Norges teknisk-naturvitenskapelige universitet, Fakultet for …, 2009 | 6 | 2009 |
| A Study of the Effects of Geological Conditions on Korean Tunnel Construction Time Using the Updated NTNU Drill and Blast Prediction Model Y Kim, SS Lee Applied Sciences 11 (21), 10096, 2021 | 4 | 2021 |
| A study on the rock mass classification in boreholes for a tunnel design using machine learning algorithms JK Lee, WH Choi, Y Kim, SS Lee Journal of Korean Tunnelling and Underground Space Association 23 (6), 469-484, 2021 | 4 | 2021 |
| Effects of drilling and geological parameters on contour quality in a drill and blast tunnel Y Kim, A Bruland Tunneling and Underground Space Technology 24 (5), 584-591, 2009 | 3 | 2009 |
| The development of subsidence hazard index for an abandoned mine using artificial neural network and interaction matrix Y Kim, M Son, HK Moon, SA Lee, IJ Yang Journal of the Korean Society of Mineral and Energy Resources Engineers 54 …, 2017 | 2 | 2017 |
| A fundamental study on the automation of tunnel blasting design using a machine learning model Y Kim, JK Lee, SS Lee Journal of Korean Tunnelling and Underground Space Association 24 (5), 431-449, 2022 | 1 | 2022 |
| A study on the application of a contour quality index in a drill and blast tunnel Y Kim, A Bruland World, 2008 | 1 | 2008 |
| Development of Protection Techniques for Explosive Demolition of RC Pillar CH Ryu, BH Choi, YK Kim Explosives and Blasting 20 (4), 17-28, 2002 | 1 | 2002 |
| In-situ Stress Measurement Using AE and DRA PH Park, SW Jeon, YK Kim Journal of Korean Tunnelling and Underground Space Association 3 (1), 51-62, 2001 | 1 | 2001 |
| NTNU TBM모델 및 D&B모델을 이용한 터널굴진기간 비교분석 Y Kim 한국터널지하공간학회, 정기총회 및 학술발표회(서울), 143-144., 2023 | | 2023 |
