Characterization of aquifer heterogeneity using transient hydraulic tomography J Zhu, TCJ Yeh Water Resources Research 41 (7), 2005 | 331 | 2005 |
Traditional analysis of aquifer tests: Comparing apples to oranges? CM Wu, TCJ Yeh, J Zhu, TH Lee, NS Hsu, CH Chen, AF Sancho Water Resources Research 41 (9), 2005 | 198 | 2005 |
Laboratory sandbox validation of transient hydraulic tomography X Liu, WA Illman, AJ Craig, J Zhu, TCJ Yeh Water Resources Research 43 (5), 2007 | 186 | 2007 |
Sequential aquifer tests at a well field, Montalto Uffugo Scalo, Italy S Straface, TCJ Yeh, J Zhu, S Troisi, CH Lee Water Resources Research 43 (7), 2007 | 156 | 2007 |
Analysis of hydraulic tomography using temporal moments of drawdown recovery data J Zhu, TCJ Yeh Water Resources Research 42 (2), 2006 | 150 | 2006 |
Comparison of aquifer characterization approaches through steady state groundwater model validation: A controlled laboratory sandbox study WA Illman, J Zhu, AJ Craig, D Yin Water Resources Research 46 (4), 2010 | 135 | 2010 |
Challenges of using electrical resistivity method to locate karst conduits—a field case in the Inner Bluegrass Region, Kentucky J Zhu, JC Currens, JS Dinger Journal of Applied Geophysics 75 (3), 523-530, 2011 | 121 | 2011 |
IMPROVED KARST SINKHOLE MAPPING IN KENTUCKY USING LIDAR TECHNIQUES: A PILOT STUDY IN FLOYDS FORK WATERSHED. J Zhu, TP Taylor, JC Currens, MM Crawford Journal of Cave & Karst Studies 76 (3), 2014 | 88 | 2014 |
Hydraulic/partitioning tracer tomography for characterization of dense nonaqueous phase liquid source zones TCJ Yeh, J Zhu Water Resources Research 43 (6), 2007 | 84 | 2007 |
Applying a weighted random forests method to extract karst sinkholes from LiDAR data J Zhu, WP Pierskalla Jr Journal of Hydrology 533, 343-352, 2016 | 52 | 2016 |
Delineating site‐specific management zones and evaluating soil water temporal dynamics in a farmer's field in Kentucky J Reyes, O Wendroth, C Matocha, J Zhu Vadose Zone Journal 18 (1), 1-19, 2019 | 47 | 2019 |
An approach for delineating homogeneous within-field zones using proximal sensing and multivariate geostatistics C Landrum, A Castrignanò, T Mueller, D Zourarakis, J Zhu, ... Agricultural water management 147, 144-153, 2015 | 43 | 2015 |
Analysis of tracer tomography using temporal moments of tracer breakthrough curves J Zhu, X Cai, TCJ Yeh Advances in water resources 32 (3), 391-400, 2009 | 36 | 2009 |
Effect of macroporosity on pedotransfer function estimates at the field scale X Zhang, J Zhu, O Wendroth, C Matocha, D Edwards Vadose Zone Journal 18 (1), 1-15, 2019 | 33 | 2019 |
Time‐lapse electrical resistivity imaging of solute transport in a karst conduit AH Sawyer, J Zhu, JC Currens, C Atcher, A Binley Hydrological Processes 29 (23), 4968-4976, 2015 | 26 | 2015 |
Assessing field-scale variability of soil hydraulic conductivity at and near saturation X Zhang, O Wendroth, C Matocha, J Zhu, J Reyes Catena 187, 104335, 2020 | 21 | 2020 |
Using machine learning to identify karst sinkholes from LiDAR-derived topographic depressions in the Bluegrass Region of Kentucky J Zhu, AM Nolte, N Jacobs, M Ye Journal of Hydrology 588, 125049, 2020 | 20 | 2020 |
Modeling CO2–brine–rock interactions in the knox group: Implications of a deep carbon storage field test in western Kentucky J Zhu, TM Parris, JR Bowersox, DC Harris Applied geochemistry 37, 29-42, 2013 | 20 | 2013 |
Using landslide-inventory mapping for a combined bagged-trees and logistic-regression approach to determining landslide susceptibility in eastern Kentucky, USA MM Crawford, JM Dortch, HJ Koch, AA Killen, J Zhu, Y Zhu, LS Bryson, ... Quarterly Journal of Engineering Geology and Hydrogeology 54 (4), qjegh2020-177, 2021 | 17 | 2021 |
Automatic segmentation of sinkholes using a convolutional neural network MU Rafique, J Zhu, N Jacobs Earth and Space Science 9 (2), e2021EA002195, 2022 | 16 | 2022 |