Journal of Environmental and Engineering Geophysics

Papers
(The TQCC of Journal of Environmental and Engineering Geophysics is 2. 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 2021-08-01 to 2025-08-01.)
ArticleCitations
Best Reviewers and Authors' Biographies8
Applications and Analytical Methods of Ground Penetrating Radar for Soil Characterization in a Silvopastoral System7
Editors’ Foreword6
Multi-Scale Pseudo-Bending Raytracing for Arbitrary Complex Media6
GPR with a Bench Model Experiment to Measure Bathymetry and Sediment Accumulation of Faylor Lake, PA4
Editors' Foreword4
Best Reviewers and Author Biographies4
Author Biographies4
2D Inversion of DC Resistivity Method to Detect High-resistivity Targets inside Dams3
Validation And Potential Improvement of Soil Survey Maps Using Proximal Soil Sensing3
3D Modeling of Time-domain AEM Fields with IP Effect in Complex Media with Topography3
The Whole-Space Modeling of the Hazardous Geological Body ahead of the Tunnel Face by the Transient Electromagnetic Method3
Research on Time-Domain Airborne EM Full-Field Apparent Resistivity Imaging Method for Arbitrary Transmitting Waveform3
Two-dimensional Inversion of DC Resistivity Data on Unstructured Grids Using Fuzzy C-means Clustering Model Constraint2
Editors' Foreword2
Waveform Inversion of Shallow Seismic data with Randomly Selected Sources2
A New Approach to Predict Hydrogeological Parameters Using Shear Waves from the Multichannel Analysis of Surface Waves Method2
Detection of a Permeable Aquifer Geohazard Above Potash Mines using In-mine Time-domain Electromagnetics2
Author Biographies2
Analysis on the Induced Polarization Characteristics of “Three-Phase” in Coal Goaves2
Author Biographies2
DC Resistivity and Electromagnetic Induction Techniques for Soil Characterization in the Agriculture Land (Case Study in Cidadap, West Bandung, West Java)2
Deep Learning Based Noise Identification for CSAMT Data Processing2
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