Wang, R., D. Yang, Y. Chen, and C, Ren, 2023, Lighting up a 1 km fault near a hydraulic fracturing well using a machine learning-based picker: Seismological Research Letters, 94, no.4, 1836-1847. https://doi.org/10.1785.0220220340.

Wang, K., and D. Yang, 2023, Joint inversion with petrophysical constraints using indicator functions and the extended alternating direction method of multipliers: Geophysics, 88, no.1, R49-R64. https://doi.org.10.1190/geo2022-0167.1.

Cheng, M., D. Yang, and Q. Luo, 2023, Interpreting surface large-loop time-domain electromagnetic data for deep mineral exploration using 3D forward modeling and inversion: Minerals, 13, no.1, 34. https://doi.org/10.3390/min13010034.

吴雯，王猛，杨迪琨，陈默，任林彬, 2022, 页岩气水力压裂分布式微弱电场监测技术初探：物探与化探，46，no.3，557-562，http:.//doi.org/10.11720/wtyht.2022.1461.

Chen, T., and D. Yang, 2022, Modeling and inversion of airborne and semi-airborne transient electromagnetic data with inexact transmitter and receiver geometries: Remote Sensing, Vol. 14, No. 915.

Chen, T., and D. Yang, 2022, Potential field data interpolation by Taylor series expansion: Geophysics, Vol. 87, No.2, P. G15-G27.

Hu, Y., D. Yang, Y. Li, Z. Wang, and Y. Lu, 2022, 3-D numerical study on controlled source electromagnetic monitoring of hydraulic fracturing fluid with the effect of steel-cased wells: IEEE Transactions on Geoscience and Remote Sensing, Vol. 60, P. 1-10, Art No. 4504210.

Chen, T., and D. Yang, 2022, Gravity gradient tensors derived from radial component of gravity vector using Taylor series expansion: Geophysical Journal International, Vol. 228, No. 1, P. 412-431.

Li, Y., and D. Yang, 2021, Electrical imaging of hydraulic fracturing fluid using steel-cased wells and a deep-learning method, Geophysics, 86(4): E315-E332.

Bedrosian, P. A., G. Schwarz, K. Selway, P. Wawrzyniak, D. Yang, 2021, Special issue "Studies on electromagnetic induction in the Earth: recent advances and future directions": Earth, Planets and Space, Vol. 73, No. 1, P. 1-3.

Yang, D., D. Fournier, S. Kang, and D. W. Oldenburg, 2019, Deep mineral exploration using multi-scale electromagnetic geophysics: the Lalor massive sulphide deposit case study. Canadian Journal of Earth Sciences, Vol. 56, No. 5, P.544-555.

Yang, D., and D. Oldenburg, 2018, Electric field data in inductive source electromagnetic surveys, Geophysical Prospecting, Vol. 66, No. 1, P. 207-225.

Yang, D., and D. Oldenburg, 2017, 3D inversion of total magnetic intensity data for time-domain EM at the Lalor massive sulphide deposit, Exploration Geophysics, Vol. 48, No. 2, P. 110-123.

Yang, D., and D. Oldenburg, 2016, Survey decomposition: A scalable framework for 3D controlled source electromagnetic inversion, Geophysics, Vol. 81, No. 2, P. E69-E87.

Yang, D., D. Oldenburg, and E. Haber, 2014, 3-D inversion of airborne electromagnetic data parallelized and accelerated by local mesh and adaptive soundings, Geophysical Journal International, Vol. 196, No. 3, P. 1492-1507.

Yang, D., and D. Oldenburg, 2012, Three-dimensional inversion of airborne time-domain electromagnetic data with applications to a porphyry deposit, Geophysics, Vol. 77, No. 2, P. B23-B34.

Dai, M., X. Hu, H. Wu, L. Jiang, and D. Yang, 2009, Inversion of surface nuclear magnetic resonance for groundwater exploration, Chinese Journal of Geophysics, Vol. 52, No. 5, P. 1166-1173.

Zhao, L., J. Geng, S. Zhang, D. Yang, 2008, 1-D controlled source electromagnetic forward modeling for marine gas hydrates studies, Applied Geophysics, Vol. 5, No. 2, P. 121-126.

Yang, D., and X. Hu, 2008, Inversion of noisy data by probabilistic methodology, Chinese Journal of Geophysics, Vol. 51, No. 3, P. 901-907. (in Chinese)

Yang, D., and X. Hu, 2007, The development of electromagnetic method for groundwater exploration, Chinese Journal of Engineering Geophysics, Vol. 4, No. 5, P. 495-500. (in Chinese)

Hu, X., D. Yang, S. Liu, and Z. Hu, 2006, The developing trends of environmental and engineering geophysics: Review of the 2nd International Conference on Environmental and Engineering Geophysics, Progress in Geophysics, Vol. 21, No. 2, P. 598-604. (in Chinese)

Zhang, R., X. Hu, D. Yang, X. Hao, and M. Dai, 2006, Review of development of surface nuclear magnetic resonance, Progress in Geophysics, Vol. 21, No. 1, P. 284-289. (in Chinese)

Journal Articles

Conference Proceeding

Hu, Y., D. Yang, G. Zhao, and J. Liu, 2023, Electromagnetic effect of steel well casings in reservoir monitoring: 3D numerical simulations and field data verification, 84th EAGE Annual Conference & Exhibition, Volume 2023, 1-5.

Yang, D., Y. Zhang, 2022, Simulation and inversion of deep-towed marine electrical resistivity survey data, SEG Technical Program Expanded Abstracts. 712-716.

Wei, N., D. Yang, Z. Wang, and Y. Lu, 2022, Joint 3D inversion of gravity and magnetic data using deep learning neural networks, SEG Technical Program Expanded Abstracts. 1457-1461.

Wu, C., D. Yang, Z. Chen, K. Wang, and T. Chen, 2022, 3D density imaging of cosmic-ray muography with adjustable angular resolutions, SEG Technical Program Expanded Abstracts. 2035-2039.

Wang, K., and D. Yang, 2022, Joint inversion of gravity and magnetic data using indicator functions, SEG Technical Program Expanded Abstracts. 1130-1134.

Wang, Z., Y. Lu, Y. Hu, Y. Li, K. Wang, and D. Yang, 2022, 3D real-time imaging for electromagnetic fracturing monitoring based on deep learning, SEG Technical Program Expanded Abstracts. 702-706.

Wei, N., Q. Zou, Y. Wang, B. Tong, K. Liu, Y. Shi, and D. Yang, 2022, 3D lithology prediction using electrical property models and machine learning, 83rd EAGE Annual Conference & Exhibition, Vol. 2022, pp. 1-5.

Wu, C., D. Yang, T. Chen, K. Wang, and Z. Chen, 2021, 3D density imaging of muongraphy with variable angular resolutions and its application in the detection of fracture zones in mountains, AGU Fall Meeting 2021, NS25A-0413.

Sun, J., R. Mehta, and D. Yang, 2021, Mapping river salinization using airborne electromagnetic data and unsupervised machine learning, AGU Fall Meeting 2021, IN42B-06.

Wu, C., D. Yang, K. Wang, Z. Chen, and T. Chen, 2021, 3D muongraphy for the detection of fracture zones in mountains, SEG Global Meeting Abstracts, pp. 289-293.

Wei, N., D. Yang, Y. Li, Y. Shi, and Y. Wang, 2021, Joint 3D inversion of gravity, magnetic and magnetotelluric data using deep learning, SEG Global Meeting Abstracts, pp. 307-310.

Yang, L., D. Yang, and B. Su, 2021, Monitoring grouting in mined-out areas using long electrode electrical resistivity tomography, SEG Global Meeting Abstracts, pp. 277-280.

Wang, K., and D. Yang, 2021, A universal inversion framework for arbitrary regularizations based on the alternating direction method of multipliers, SEG Technical Program Expanded Abstracts, pp. 931-935.

Yang, L., D. Yang, and Q. Yuan, 2021, High-resolution ERT imaging of DNAPL contamination at complex soil remediation sites, SEG Technical Program Expanded Abstracts, pp. 1961-1965.

Hu, Y., and D. Yang, 2021, 3D finite volume modeling of steel casings in controlled source electromagnetic surveys using the concept of edge conductivity, SEG Technical Program Expanded Abstracts, pp. 533-537.

Chen, Z., and D. Yang, 2021, Detection of fracture zones in mountains using semi-airborne magnetometric resistivity method, SEG Technical Program Expanded Abstracts, pp. 1976-1980.

Cheng, M., and D. Yang, 2021, Multisclae parallel simulation of arbitrary waveforms for time-domain electromagnetic data, SEG Technical Program Expanded Abstracts, pp. 543-547.

Chen, T., and D. Yang, 2021, Geophysical data gridding: New insights from the Taylor series expansion, SEG Technical Program Expanded Abstracts, pp. 926-930

Yang, D., 2021, Monitoring catastrophic ground collapse of urban roads with permanent curbside electrode arrays, IOP Conference Series: Earth and Environmental Science, Vol. 660, No.1, p.012001.

Li, Y. and D. Yang, 2020, Monitoring the integrity of steel well casings using electrical data on the surface, SEG 2020 Workshop: 2nd SEG Borehole Geophysics, Virtual, 26-27 November 2020, Society of Exploration Geophysicists: pp.152-156

Chen T. and D. Yang, 2020, Joint inversion of time-domain and frequency-domain electromagnetic data contaminated by coherent noises using an agree-to-disagree strategy, SEG Technical Program Expanded Abstracts 2020, Society of Exploration Geophysicists: pp.565-569

Yang, D., 2020, Curbside electrical monitoring for cavities beneath road surface and ground collapse, SEG Technical Program Expanded Abstracts 2020, Society of Exploration Geophysicists: pp.2009-2013

Li, Y., and D. Yang, 2020, Imaging of steel casing’s conductivity using surface electrical data and a deep learning approach, SEG Technical Program Expanded Abstracts 2020, Society of Exploration Geophysicists: pp.636-640.

Jiang, F. and D. Yang, 2020, Fast 3D magnetotelluric modeling using a local mesh approach, SEG Technical Program Expanded Abstracts 2020, Society of Exploration Geophysicists: pp.585-589.

Yang, D., Y. Li, X. Liu F. Zhu and J. Zhang, 2019, Feasibility Study of Electrical Monitoring of In-situ Thermal Desorption in Remediation of Contaminated Soil. AGUFM, 2019 : NS21C-0831.

Yang, D. , and Y. Li, 2019, Monitoring directional fluid flow in shale gas hydraulic fracturing through electrically energized steel well casings. International Workshop on Gravity, Electrical & Magnetic Methods and Their Applications, Xi'an, China, May 19–22, 2019,Society of Exploration Geophysicists and Chinese Geophysical Society: pp. 45-48.

Li, Y., and D. Yang, 2019, Fast electrical imaging of injected fluid in hydraulic fracturing using a practical interactive parameter estimation method, SEG Technical Program Expanded Abstracts 2019 ,Society of Exploration Geophysicists: pp. 1024-1028.

Yang, D. , S. Guan, and Z. Chen,2019, Parallel 3D modeling of marine controlled source electromagnetic data using survey decomposition, SEG Technical Program Expanded Abstracts 2019 .Society of Exploration Geophysicists: pp. 1085-1089.

Yang, D. , D. Fournier, S. Kang, and D. W. Oldenburg, 2018, Recovery of compact conductors in 3D voxel inversion of time-domain EM data, Society of Exploration Geophysicists Technical Program Expanded Abstracts 2018: 1873-1877.

Yang, D. , and K. Key, 2018, 3D modeling of marine CSEM using survey decomposition and local meshes, The 24th International Workshop on EM Induction in the Earth.

Yang, D., D. Marchant, and E. Haber, 2017, 3D electromagnetic inversion of logging while drilling data, Society of Exploration Geophysicists Technical Program Expanded Abstracts 2017: 890-894.

Yang, D., and D. W. Oldenburg, 2017, 3D EM modeling of steel casings using an equivalent RL circuit network, Proceedings of the 6th International Symposium in Three-dimensional Electromagnetics .

Nieuwenhuis, G., Wilt, M., and D. Yang, 2017, Using well-casing antenna sources for electrical surveys, Proceedings of the 6th International Symposium in Three-dimensional Electromagnetics.

Yang, D., and D. W. Oldenburg, 2016, Joint inversion of multi-type and time-lapse airborne electromagnetic data sets for tempo-spatial variation of groundwater salinity, American Geophysical Union Fall Meeting 2016: abstract # NS32A-04.

Yang, D., D. W. Oldenburg, and L. Heagy, 2016, 3D dc resistivity modeling of steel casing for reservoir monitoring using equivalent resistor network, Society of Exploration Geophysicists Technical Program Expanded Abstracts 2016: pp. 932-936.

Yang, D., 2016, Characterization of noise in airborne-transient electromagnetic data using Benford's law, Society of Exploration Geophysicists Technical Program Expanded Abstracts 2016: pp. 1043-1047.

Nieuwenhuis, G., D. Yang, K. MacLennan, D. W. Oldenburg, and M. Wilt, 2015, Electrical imaging using a well casing as an antenna: a case study from a CO2 sequestration site in Montana, American Geophysical Union Fall Meeting 2015: abstract # GP13A-1273.

Yang, D., and D. W. Oldenburg, 2014, 3D electromagnetic modeling using atomic survey decomposition, Society of Exploration Geophysicists Technical Program Expanded Abstracts 2014: pp. 664-668.

Kang, S., D. W. Oldenburg, D. Yang, and D. Marchant, 2014, On recovering induced polarization information from airborne time domain EM data, Society of Exploration Geophysicists Technical Program Expanded Abstracts 2014: pp. 1785-1789.

Devriese, S. G. R., N. Corcoran, D. Cowan, K. Davis, D. Bild-Enkin, D. Fournier, L. Heagy, S. Kang, D. Marchant, M. S. McMillan, M. Mitchell, G. Rosenkjar, D. Yang, and D. W. Oldenburg, 2014, Magnetic inversion of three airborne data sets over the Tli Kwi Cho kimberlite complex, Society of Exploration Geophysicists Technical Program Expanded Abstracts 2014: pp. 1790-1794.

Fournier, D., L. Heagy, N. Corcoran, D. Cowan, S. G. R. Devriese, D. Bild-Enkin, K. Davis, S. Kang, D. Marchant, M. S. McMillan, M. Mitchell, G. Rosenkjar, D. Yang, and D. W. Oldenburg, 2014, Multi-EM systems inversion - Towards a common conductivity model for the Tli Kwi Cho complex, Society of Exploration Geophysicists Technical Program Expanded Abstracts 2014: pp. 1795-1799.

Oldenburg, D. W., D. Yang, and E. Haber, 2013, New strategies for faster 3D inversion of airborne EM data, 6th International Airborne Electromagnetic Conference & Exhibition.

Yang, D., D. W. Oldenburg, and E. Haber, 2013, Massive parallelization of 3D electromagnetic inversion using local meshes, 5th International Symposium on Three-Dimensional Electromagnetics.

Yang, D., and D. W. Oldenburg, 2013, 3D conductivity models of Lalor Lake VMS deposit from ground loop and airborne EM data sets, Australian Society of Exploration Geophysicists Extended Abstracts 2013: pp. 1-4.

Yang, D., D. W. Oldenburg, and E. Haber, 2012, Fast 3D inversion of airborne time-domain electromagnetic data using localized meshes and adaptive soundings, American Geophysical Union Fall Meeting 2012, abstract # GP31C-05.

Yang, D., and D. W. Oldenburg, 2012, Three-dimensional inversion of SQUID time-domain EM data at Lalor Lake VMS deposit, Society of Exploration Geophysicists Technical Program Expanded Abstracts 2012: pp. 1-5.

Yang, D., and D. W. Oldenburg, 2012, Practical 3D inversion of large airborne time domain electromagnetic data sets, Australian Society of Exploration Geophysicists Extended Abstracts 2012: pp. 1-4.

Yang, D., and D. W. Oldenburg, 2010, 3D forward modelling and inversion of inductive source resistivity data, Society of Exploration Geophysicists Technical Program Expanded Abstracts 2010: pp. 588-592.

Oldenburg, D. W., D. Yang, and E. Haber, 2010, Inversion of multi‐source TEM data with applications to Mt. Milligan, Society of Exploration Geophysicists Technical Program Expanded Abstracts 2010: pp. 3888-3892.

Yang, D., and X. Hu, 2008, 3D inversion of 2D magnetotelluric data, The 19th International Workshop on Electromagnetic Induction in the Earth.

Hu, X., D. Yang, J. Wang, and S. Zhang, 2008, Three-dimensional electrical structure in Qiangtang Terrane, northern Tibetan Plateau, The 19th International Workshop on EM Induction in the Earth.

Dai, M., X. Hu, and D. Yang, 2008, Study on surface nuclear magnetic resonance inversion, The 19th International Workshop on EM Induction in the Earth.

Publications