OOIR: Observatory of International Research

Papers

(The H4-Index of Tunnelling and Underground Space Technology is 50. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)

Article	Citations
BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives	156
Seismic behaviour of tunnels: From experiments to analysis	152
Leakage detection techniques for oil and gas pipelines: State-of-the-art	140
Effect of particle shape on the progressive failure of shield tunnel face in granular soils by coupled FDM-DEM method	133
Hybrid meta-heuristic and machine learning algorithms for tunneling-induced settlement prediction: A comparative study	125
Underground space utilization of coalmines in China: A review of underground water reservoir construction	109
Predicting rockburst with database using particle swarm optimization and extreme learning machine	102
Prediction model of rock mass class using classification and regression tree integrated AdaBoost algorithm based on TBM driving data	96
COVID-19 effects on property markets: The pandemic decreases the implicit price of metro accessibility	93
Solid grain migration on hydraulic properties of fault rocks in underground mining tunnel: Radial seepage experiments and verification of permeability prediction	86
The development and application of a novel multi-radial-vortex-based ventilation system for dust removal in a fully mechanized tunnelling face	83
Evolutionary hybrid neural network approach to predict shield tunneling-induced ground settlements	78
Dynamic stability evaluation of underground cavern sidewalls against flexural toppling considering excavation-induced damage	77
Large-scale geo-mechanical model tests for stability assessment of super-large cross-section tunnel	74
A critical evaluation of machine learning and deep learning in shield-ground interaction prediction	74
Safety assessment of buried pressurized gas pipelines subject to blasting vibrations induced by metro foundation pit excavation	73
Structural damage assessment of mountain tunnels in fault fracture zone subjected to multiple strike-slip fault movement	70
Underground space utilisation for urban renewal	70
Experimental investigation of mechanical characteristics for linings of twins tunnels with asymmetric cross-section	70
Propagation characteristics and prediction of blast-induced vibration on closely spaced rock tunnels	68
Artificial ground freezing: A review of thermal and hydraulic aspects	68
Shaking table test on flexible joints of mountain tunnels passing through normal fault	67
Seismic vulnerability of circular tunnels in soft soil deposits: The case of Shanghai metropolitan system	66
The role of TBM asymmetric tail-grouting on surface settlement in coarse-grained soils of urban area: Field tests and FEA modelling	66
Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations	64

Temperature reduction for extra-long railway tunnel with high geotemperature by longitudinal ventilation	64
A critical review on the performance of yielding supports in squeezing tunnels	64
Rock fracturing observation based on microseismic monitoring and borehole imaging: In situ investigation in a large underground cavern under high geostress	63
State-of-the-art review of geotechnical-driven artificial intelligence techniques in underground soil-structure interaction	62
Experimental research and application of automatically formed roadway without advance tunneling	62
Innovative approach based on roof cutting by energy-gathering blasting for protecting roadways in coal mines	61
Microseismic characteristics of rockburst development in deep TBM tunnels with alternating soft–hard strata and application to rockburst warning: A case study of the Neelum–Jhelum hydropower project	61
TBM performance prediction with Bayesian optimization and automated machine learning	59
Stability analysis of the middle soil pillar for asymmetric parallel tunnels by using model testing and numerical simulations	58
History and recent development of multi-purpose utility tunnels	58
Time-varying and non-linear associations between metro ridership and the built environment	57
Deep learning analysis for energy consumption of shield tunneling machine drive system	55
Countermeasures against large deformation of deep-buried soft rock tunnels in areas with high geostress: A case study	55
Analyses of the defects in highway tunnels in China	55
A novel tunnel-lining crack recognition system based on digital image technology	55
Influence of non-associated flow rule on passive face instability for shallow shield tunnels	54
Analysis of additional stress for a curved shield tunnel	53
Undrained stability of plane strain active trapdoors in anisotropic and non-homogeneous clays	53
An overview of recent developments in China’s metro systems	52
Deep learning-based automatic recognition of water leakage area in shield tunnel lining	52
Water and mud inrush hazard in underground engineering: Genesis, evolution and prevention	52
Centrifuge testing and numerical modeling of tunnel face stability considering longitudinal slope angle and steady state seepage in soft clay	51
Development of compound EPB shield model test system for studying the water inrushes in karst regions	51
Evaluating and Predicting the Stability of Roadways in Tunnelling and Underground Space Using Artificial Neural Network-Based Particle Swarm Optimization	50
I-BIM based approach for geotechnical and numerical modelling of a conventional tunnel excavation	50
Minimum cover depth estimation for underwater shield tunnels	50
Mechanical properties and field application of constant resistance energy-absorbing anchor cable	50