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Engineering and Technology

D-Index
46
Citations
7296
World Ranking
5222
National Ranking
1475

Overview

Alexander Y. Sun is affiliated with The University of Texas at Austin in the United States. Their research primarily spans Environmental Science and Engineering, with notable contributions in related subfields such as Ocean Engineering, Environmental Engineering, Global and Planetary Change, Mechanical Engineering, and Water Science and Technology.

Their research topics encompass a broad range of areas including Reservoir Engineering and Simulation Methods, Hydraulic Fracturing and Reservoir Analysis, Hydrology and Watershed Management Studies, Geophysics and Gravity Measurements, Flood Risk Assessment and Management, CO2 Sequestration and Geologic Interactions, and Hydrological Forecasting Using AI.

Alexander Y. Sun has authored multiple publications in several prominent venues. The most frequent publication outlets include:

  • Water Resources Research
  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • Environmental Research Letters
  • Advances in Water Resources

Recent papers authored or co-authored by Alexander Y. Sun include:

  • Reconstruction of GRACE Total Water Storage Through Automated Machine Learning, 2020, Water Resources Research
  • Explore Spatio-Temporal Learning of Large Sample Hydrology Using Graph Neural Networks, 2021, Water Resources Research

Other notable works in which they contributed as a co-author are:

  • Comparison of Groundwater Storage Changes From GRACE Satellites With Monitoring and Modeling of Major U.S. Aquifers, 2020, Water Resources Research
  • Predicting field production rates for waterflooding using a machine learning-based proxy model, 2020, Journal of Petroleum Science and Engineering
  • Linkages between GRACE water storage, hydrologic extremes, and climate teleconnections in major African aquifers, 2021, Environmental Research Letters

Frequent collaborators with Alexander Y. Sun include:

  • Bridget R. Scanlon
  • Ashraf Rateb
  • Zhi Zhong
  • Peishi Jiang
  • Xingyuan Chen

Best Publications

  • Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data

    Bridget R. Scanlon;Zizhan Zhang;Himanshu Save;Alexander Y. Sun

  • How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions

    Alexander Y Sun;Bridget R Scanlon

  • Drought and flood monitoring for a large karst plateau in Southwest China using extended GRACE data

    Di Long;Di Long;Yanjun Shen;Alexander Sun;Yang Hong;Yang Hong

  • GRACE satellite monitoring of large depletion in water storage in response to the 2011 drought in Texas

    Di Long;Bridget R. Scanlon;Laurent Longuevergne;Alexander Y. Sun

  • Predicting CO 2 Plume Migration in Heterogeneous Formations Using Conditional Deep Convolutional Generative Adversarial Network

    Zhi Zhong;Alexander Y. Sun;Hoonyoung Jeong

  • Tracking Seasonal Fluctuations in Land Water Storage Using Global Models and GRACE Satellites

    B. R. Scanlon;Z. Zhang;A. Rateb;A. Sun

  • Comparison of Groundwater Storage Changes From GRACE Satellites With Monitoring and Modeling of Major U.S. Aquifers

    Ashraf Rateb;Bridget R. Scanlon;Donald R. Pool;Alexander Sun

  • Evaluation of carbon dioxide storage and miscible gas EOR in shale oil reservoirs

    Hamid R. Lashgari;Alexander Sun;Tongwei Zhang;Gary A. Pope

  • Karst catchments exhibited higher degradation stress from climate change than the non-karst catchments in southwest China: An ecohydrological perspective

    Meixian Liu;Xianli Xu;Dingbao Wang;Alexander Y. Sun

  • The concept of block-effective macrodispersivity and a unified approach for grid-scale- and plume-scale-dependent transport

    Y. Rubin;A. Sun;R. Maxwell;R. Maxwell;A. Bellin

  • A constrained robust least squares approach for contaminant release history identification

    Alexander Y. Sun;Scott L. Painter;Gordon W. Wittmeyer

  • Sequential updating of multimodal hydrogeologic parameter fields using localization and clustering techniques

    Alexander Y. Sun;Alan P. Morris;Sitakanta Mohanty

  • Toward calibration of regional groundwater models using GRACE data

    Alexander Y. Sun;Ronald Green;Sean Swenson;Matthew Rodell

  • Reconstruction of GRACE Total Water Storage Through Automated Machine Learning

    Alexander Y. Sun;Bridget R. Scanlon;Himanshu Save;Ashraf Rateb

  • Relative importance of climate and land surface changes on hydrologic changes in the US Midwest since the 1930s: implications for biofuel production.

    Xianli Xu;Xianli Xu;Bridget R Scanlon;Keith Schilling;Alexander Sun

  • Explore Spatio-Temporal Learning of Large Sample Hydrology Using Graph Neural Networks

    Alexander Y. Sun;Peishi Jiang;Maruti K. Mudunuru;Xingyuan Chen

  • Predicting field production rates for waterflooding using a machine learning-based proxy model

    Zhi Zhong;Zhi Zhong;Alexander Y. Sun;Yanyong Wang;Bo Ren

  • A robust approach for iterative contaminant source location and release history recovery.

    Alexander Y. Sun;Scott L. Painter;Gordon W. Wittmeyer

  • Thermodynamics phase changes of nanopore fluids

    Akand W. Islam;Tad W. Patzek;Alexander Y. Sun

  • Comparison of deterministic ensemble Kalman filters for assimilating hydrogeological data

    Alexander Y. Sun;Alan Morris;Sitakanta Mohanty

  • Assessing leakage detectability at geologic CO2 sequestration sites using the probabilistic collocation method

    Alexander Y. Sun;Mehdi Zeidouni;Jean-Philippe Nicot;Zhiming Lu

  • Inferring aquifer storage parameters using satellite and in situ measurements: Estimation under uncertainty

    Alexander Y. Sun;Ronald Green;Matthew Rodell;Sean Swenson

  • A robust geostatistical approach to contaminant source identification

    Alexander Y. Sun

  • A new drought index that considers the joint effects of climate and land surface change

    Meixian Liu;Xianli Xu;Chaohao Xu;Alexander Y. Sun

Frequent Co-Authors

Bridget R. Scanlon
Bridget R. Scanlon The University of Texas at Austin
Kelin Wang
Kelin Wang Chinese Academy of Sciences
Di Long
Di Long Tsinghua University
Jean-Philippe Nicot
Jean-Philippe Nicot The University of Texas at Austin
Susan D. Hovorka
Susan D. Hovorka The University of Texas at Austin
Laurent Longuevergne
Laurent Longuevergne University of Rennes
Sean Swenson
Sean Swenson National Center for Atmospheric Research
Dongxiao Zhang
Dongxiao Zhang Southern University of Science and Technology
Petra Döll
Petra Döll Goethe University Frankfurt
Scott L. Painter
Scott L. Painter Oak Ridge National Laboratory

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