World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
50
Citations
9311
World Ranking
4093
National Ranking
95

Eung Je Woo 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 Eung Je Woo 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: 307 publications — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Eung Je Woo 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 Eung Je Woo 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: 50 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Overview

Eung Je Woo is affiliated with Kyung Hee University in South Korea and has a research focus spanning engineering and medicine. Their work primarily involves electrical and bioimpedance tomography, with contributions across multiple related topics and subfields.

The main fields of study for this researcher include:

  • Engineering
  • Medicine

The subfields of study encompass:

  • Electrical and Electronic Engineering
  • Biomedical Engineering
  • Radiology, Nuclear Medicine and Imaging
  • Surgery
  • Physiology

The researcher's work covers several main topics such as:

  • Electrical and Bioimpedance Tomography
  • Hemodynamic Monitoring and Therapy
  • Advanced MRI Techniques and Applications
  • Microwave Imaging and Scattering Analysis
  • Obstructive Sleep Apnea Research
  • Flow Measurement and Analysis
  • Non-Invasive Vital Sign Monitoring

Eung Je Woo has published recent papers in various journals, demonstrating focus on methods for imaging and monitoring in biomedical contexts. Notable papers include:

  • High-frequency electrical properties tomography at 9.4T as a novel contrast mechanism for brain tumors, 2021, Magnetic Resonance in Medicine
  • Low-frequency dominant electrical conductivity imaging of in vivo human brain using high-frequency conductivity at Larmor-frequency and spherical mean diffusivity without external injection current, 2020, NeuroImage
  • Feature Extraction of Upper Airway Dynamics during Sleep Apnea using Electrical Impedance Tomography, 2020, Scientific Reports
  • Validation of conductivity tensor imaging using giant vesicle suspensions with different ion mobilities, 2020, BioMedical Engineering OnLine
  • Noninvasive, simultaneous, and continuous measurements of stroke volume and tidal volume using EIT: feasibility study of animal experiments, 2020, Scientific Reports

Frequent co-authors collaborating with this researcher include:

  • Tong In Oh
  • Hyung Joong Kim
  • Geuk Young Jang
  • Nitish Katoch
  • Bup Kyung Choi

Publication venues where Eung Je Woo has appeared multiple times consist of:

  • Scientific Reports
  • Journal of Magnetic Resonance Imaging
  • Frontiers in Physiology
  • NeuroImage
  • Magnetic Resonance in Medicine

Best Publications

  • Extracellular Total Electrolyte Concentration Imaging for Electrical Brain Stimulation (EBS).

    Saurav Z. K. Sajib;Mun Bae Lee;Hyung Joong Kim;Eung Je Woo

  • Magnetic resonance electrical impedance tomography (MREIT): simulation study of J-substitution algorithm

    Ohin Kwon;Eung Je Woo;Jeong-Rock Yoon;Jin Keun Seo

  • Magnetic resonance electrical impedance tomography (MREIT) for high-resolution conductivity imaging

    Eung Je Woo;Jin Keun Seo

  • Reconstruction of conductivity and current density images using only one component of magnetic field measurements

    Jin Keun Seo;Jeong-Rock Yoon;Eung Je Woo;Ohin Kwon

  • Conductivity and current density image reconstruction using harmonic Bz algorithm in magnetic resonance electrical impedance tomography

    Suk Hoon Oh;Byung Il Lee;Eung Je Woo;Soo Yeol Lee

  • Magnetic Resonance Electrical Impedance Tomography (MREIT)

    Jin Keun Seo;Eung Je Woo

  • Impedance tomography using internal current density distribution measured by nuclear magnetic resonance

    Eung Je Woo;Soo Yeol Lee;Chi Woong Mun

  • Finite element modeling of electrode-skin contact impedance in electrical impedance tomography

    P. Hua;E.J. Woo;J.G. Webster;W.J. Tompkins

  • J-substitution algorithm in magnetic resonance electrical impedance tomography (MREIT): phantom experiments for static resistivity images

    Hyun Soo Khang;Byung Il Lee;Suk Hoon Oh;Eung Je Woo

  • Thermal--electrical finite element modelling for radio frequency cardiac ablation: effects of changes in myocardial properties.

    S. Tungjitkusolmun;E. J. Woo;H. Cao;J. Z. Tsai

  • Iterative reconstruction methods using regularization and optimal current patterns in electrical impedance tomography

    P. Hua;E.J. Woo;J.G. Webster;W.J. Tompkins

  • A robust image reconstruction algorithm and its parallel implementation in electrical impedance tomography

    E.J. Woo;P. Hua;J.G. Webster;W.J. Tompkins

  • Nonlinear Inverse Problems in Imaging

    Jin Keun Seo;Eung Je Woo

  • Multi-Frequency Electrical Impedance Tomography System With Automatic Self-Calibration for Long-Term Monitoring

    Hun Wi;Harsh Sohal;Alistair Lee McEwan;Eung Je Woo

  • Frequency-difference electrical impedance tomography (fdEIT): algorithm development and feasibility study.

    Jin Keun Seo;Jeehyun Lee;Sung Wan Kim;Habib Zribi

  • In Vivo High-ResolutionConductivity Imaging of the Human Leg Using MREIT: The First Human Experiment

    Hyung Joong Kim;Young Tae Kim;A.S. Minhas;Woo Chul Jeong

  • Finite element analyses of uniform current density electrodes for radio-frequency cardiac ablation

    S. Tungjitkusolmun;Eung Je Woo;Hong Cao;Jang-Zern Tsai

  • A fully parallel multi-frequency EIT system with flexible electrode configuration: KHU Mark2

    Tong In Oh;Hun Wi;Do Yub Kim;Pil Joong Yoo

  • Multi-frequency EIT system with radially symmetric architecture: KHU Mark1.

    Tong In Oh;Eung Je Woo;David Holder

  • Nanofiber Web Textile Dry Electrodes for Long-Term Biopotential Recording

    Tong InOh;Sun Yoon;Tae Eui Kim;Hun Wi

  • Electrical conductivity imaging using gradient B/sub z/ decomposition algorithm in magnetic resonance electrical impedance tomography (MREIT)

    Chunjae Park;Ohin Kwon;Eung Je Woo;Jin Keun Seo

Frequent Co-Authors

Jin Keun Seo
Jin Keun Seo Yonsei University
David Holder
David Holder University College London
Dong-Hyun Kim
Dong-Hyun Kim Kyung Hee University
john g webster
john g webster University of Wisconsin–Madison
Willis J. Tompkins
Willis J. Tompkins University of Wisconsin–Madison
Habib Ammari
Habib Ammari ETH Zurich
Tae-Seong Kim
Tae-Seong Kim Kyung Hee University
William R B Lionheart
William R B Lionheart University of Manchester
Damijan Miklavčič
Damijan Miklavčič University of Ljubljana
Yi Wang
Yi Wang Cornell University

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