World's Best Scientists 2026 revealed!
Jin Keun Seo

Jin Keun Seo

D-Index & Metrics

Engineering and Technology

D-Index
57
Citations
9206
World Ranking
2732
National Ranking
54

Jin Keun Seo 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 Jin Keun Seo 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: 254 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Jin Keun Seo 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 Jin Keun Seo 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Jin Keun Seo is affiliated with Yonsei University in South Korea and has contributed extensively to research in the intersecting fields of medicine, engineering, and dentistry. Their work primarily addresses medical imaging and analysis, with a focus on advanced techniques in radiography, X-ray, and computed tomography (CT).

The scientist's research outputs include studies in:

  • Dental Radiography and Imaging
  • Medical Imaging Techniques and Applications
  • Advanced X-ray and CT Imaging
  • Radiation Dose and Imaging
  • Medical Image Segmentation Techniques
  • Numerical methods in inverse problems
  • Medical Imaging and Analysis

Their main fields of study encompass Medicine, Engineering, and Dentistry, while subfields of emphasis include Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Oral Surgery, Computer Vision and Pattern Recognition, and Pediatrics, Perinatology and Child Health.

Jin Keun Seo's publication record features multiple recent papers, including:

  • "Automatic detection and segmentation of lumbar vertebrae from X-ray images for compression fracture evaluation," 2020, Computer Methods and Programs in Biomedicine
  • "Automated ultrasound assessment of amniotic fluid index using deep learning," 2021, Medical Image Analysis
  • "Learning-based local-to-global landmark annotation for automatic 3D cephalometry," 2020, Physics in Medicine and Biology
  • "Automation of Spine Curve Assessment in Frontal Radiographs Using Deep Learning of Vertebral-Tilt Vector," 2020, IEEE Access
  • "Deep learning method for reducing metal artifacts in dental cone-beam CT using supplementary information from intra-oral scan," 2022, Physics in Medicine and Biology

Frequent publication venues for Seo include arXiv (Cornell University), IEEE Access, Physics in Medicine and Biology, Medical Image Analysis, and Computer Methods and Programs in Biomedicine.

Coauthor collaborations are an important element of their research activity. Frequent coauthors include Chang Min Hyun, Tae Jun Jang, Hye Sun Yun, Hyoung Suk Park, and Sang-Hwy Lee.

Among their scholarly contributions is a book published with Springer Nature titled "Deep Learning and Medical Applications" released in 2023.

Best Publications

  • Deep learning for undersampled MRI reconstruction.

    Chang Min Hyun;Hwa Pyung Kim;Sung Min Lee;Sungchul Lee

  • 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

  • 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

  • The layer potential technique for the inverse conductivity problem

    Hyeonbae Kang;Jin Keun Seo

  • Nonlinear Inverse Problems in Imaging

    Jin Keun Seo;Eung Je Woo

  • A real time algorithm for the location search of discontinuous conductivities with one measurement

    Ohin Kwon;Jin Keun Seo;Jeong Rock Yoon

  • Level set-based bimodal segmentation with stationary global minimum

    Suk-Ho Lee;Jin Keun Seo

  • The inverse conductivity problem with one measurement: stability and estimation of size

    Hyeonbae Kang;Jin Keun Seo;Dongwoo Sheen

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

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

  • On a Nonlinear Partial Differential Equation Arising in Magnetic Resonance Electrical Impedance Tomography

    Sungwhan Kim;Sungwhan Kim;Ohin Kwon;Jin Keun Seo;Jeong Rock Yoon;Jeong Rock Yoon

  • Noise removal with Gauss curvature-driven diffusion

    Suk-Ho Lee;Jin Keun Seo

  • 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

  • Recent progress and future challenges in MR electric properties tomography.

    Ulrich Katscher;Dong Hyun Kim;Jin Keun Seo

  • Metal Artifact Reduction for Polychromatic X-ray CT Based on a Beam-Hardening Corrector

    Hyoung Suk Park;Dosik Hwang;Jin Keun Seo

  • Electrical conductivity images of biological tissue phantoms in MREIT

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

  • 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

  • Noise analysis in magnetic resonance electrical impedance tomography at 3 and 11 T field strengths.

    Rosalind Sadleir;Samuel Grant;Sung Uk Zhang;Byung Il Lee

Frequent Co-Authors

Eung Je Woo
Eung Je Woo Kyung Hee University
Habib Ammari
Habib Ammari ETH Zurich
Hyeonbae Kang
Hyeonbae Kang Inha University
Yi Wang
Yi Wang Cornell University
William R B Lionheart
William R B Lionheart University of Manchester
Tae-Seong Kim
Tae-Seong Kim Kyung Hee University
Eugene B. Fabes
Eugene B. Fabes University of Minnesota
Manuchehr Soleimani
Manuchehr Soleimani University of Bath
David Holder
David Holder University College London
Jong Chul Ye
Jong Chul Ye Korea Advanced Institute of Science and Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Jin Keun Seo

Trending Scientists

Recently Published Articles