World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
7296
World Ranking
5224
National Ranking
1476

Alexander Y. Sun publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Alexander Y. Sun sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 167 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Alexander Y. Sun D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Alexander Y. Sun sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 46 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

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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