World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
62
Citations
12091
World Ranking
1948
National Ranking
31

Sang Woo Kim 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 Sang Woo Kim 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: 441 publications — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Sang Woo Kim 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 Sang Woo Kim 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: 62 D-Index — 81st percentile

81% of scientists in this discipline score the same or lower.

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

Overview

Sang Woo Kim is affiliated with Pohang University of Science and Technology in South Korea. Their research spans multiple disciplines primarily within engineering and computer science, focusing on advanced technologies involving neural networks, battery systems, and industrial electronics.

The scientist's work frequently appears in notable publication venues including:

  • arXiv (Cornell University)
  • IEEE Access
  • Expert Systems with Applications
  • Sensors
  • Energy

Sang Woo Kim's research contributions fall within the main fields of study:

  • Engineering
  • Computer Science

Within these areas, the subfields of study include:

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Control and Systems Engineering
  • Automotive Engineering

The scientist's primary research topics cover:

  • Advanced Neural Network Applications
  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Neural Networks and Applications
  • Domain Adaptation and Few-Shot Learning
  • Visual Attention and Saliency Detection

Recent papers authored by Sang Woo Kim include:

  • Attention Recurrent Neural Network-Based Severity Estimation Method for Interturn Short-Circuit Fault in Permanent Magnet Synchronous Machines (2020, IEEE Transactions on Industrial Electronics)
  • Attention-Based Multimodal Image Feature Fusion Module for Transmission Line Detection (2022, IEEE Transactions on Industrial Informatics)
  • Innovative lumped-battery model for state of charge estimation of lithium-ion batteries under various ambient temperatures (2021, Energy)
  • Online Detection of Soft Internal Short Circuit in Lithium-Ion Batteries at Various Standard Charging Ranges (2020, IEEE Access)
  • Weakly supervised power line detection algorithm using a recursive noisy label update with refined broken line segments (2020, Expert Systems with Applications)

Sang Woo Kim has collaborated extensively with a number of co-authors through their career, including:

  • Bum Jun Kim
  • Hyeonah Jang
  • Hyeyeon Choi
  • Youngbin Song
  • Gyogwon Koo

Best Publications

  • Memoryless H/sup /spl infin// controllers for state delayed systems

    Joon Hwa Lee;Sang Woo Kim;Wook Hyun Kwon

  • New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS)

    Jhoon Kim;Ukkyo Jeong;Myoung Hwan Ahn;Jae H. Kim

  • Seasonal and monthly variations of columnar aerosol optical properties over East Asia determined from multi-year MODIS, LIDAR, and AERONET Sun/sky radiometer measurements

    Sang-Woo Kim;Soon-Chang Yoon;Jiyoung Kim;Jiyoung Kim;Seung-Yeon Kim

  • Overview of the Atmospheric Brown Cloud East Asian Regional Experiment 2005 and a study of the aerosol direct radiative forcing in east Asia

    Teruyuki Nakajima;Soon Chang Yoon;Veerabhadran Ramanathan;Guang Yu Shi

  • A global simulation of brown carbon: Implications for photochemistry and direct radiative effect

    Duseong S. Jo;Rokjin J. Park;Seungun Lee;Sang Woo Kim

  • Fault diagnosis of a power transformer using an improved frequency-response analysis

    Jong-Wook Kim;ByungKoo Park;Seung Cheol Jeong;Sang Woo Kim

  • Atmospheric brown clouds reach the Tibetan Plateau by crossing the Himalayas

    Z.L. Lüthi;Bojan Škerlak;S.-W. Kim;Axel Lauer

  • Cold snare polypectomy versus cold forceps polypectomy for diminutive and small colorectal polyps: a randomized controlled trial.

    Joon Sung Kim;Bo-In Lee;Hwang Choi;Sun-Young Jun

  • Wearable Device-Based System to Monitor a Driver’s Stress, Fatigue, and Drowsiness

    Minho Choi;Gyogwon Koo;Minseok Seo;Sang Woo Kim

  • Validation of aerosol and cloud layer structures from the space-borne lidar CALIOP using a ground-based lidar in Seoul, Korea

    S.-W Kim;S. Berthier;Jean-Christophe Raut;Patrick Chazette

  • Evolution of a lidar network for tropospheric aerosol detection in East Asia

    Atsushi Shimizu;Tomoaki Nishizawa;Yoshitaka Jin;Sang-Woo Kim

  • Inkjet-printed stretchable silver electrode on wave structured elastomeric substrate

    Seungjun Chung;Jaemyon Lee;Hyunsoo Song;Sangwoo Kim

  • An overview of and issues with sky radiometer technology and SKYNET

    Teruyuki Nakajima;Monica Campanelli;Huizheng Che;Victor Estellés;Victor Estellés

  • Seasonal and summer interannual variations of SeaWiFS chlorophyll a in the Yellow Sea and East China Sea

    Hisashi Yamaguchi;Hyun-Cheol Kim;Young Baek Son;Sang Woo Kim

  • Comparison of vertical dust flux by implementing three dust emission schemes in WRF/Chem

    Jung-Yoon Kang;Soon-Chang Yoon;Yaping Shao;Sang-Woo Kim

  • Classifying aerosol type using in situ surface spectral aerosol optical properties

    Lauren Schmeisser;Lauren Schmeisser;Lauren Schmeisser;Elisabeth Andrews;Elisabeth Andrews;John A. Ogren;Patrick Sheridan

  • Highly Bendable and Durable Transparent Electromagnetic Interference Shielding Film Prepared by Wet Sintering of Silver Nanowires

    Dong Gyu Kim;Dong Gyu Kim;Jong Han Choi;Jong Han Choi;Duck Kyun Choi;Sang Woo Kim;Sang Woo Kim

  • Attention Recurrent Neural Network-Based Severity Estimation Method for Interturn Short-Circuit Fault in Permanent Magnet Synchronous Machines

    Hojin Lee;Hyeyun Jeong;Gyogwon Koo;Jaepil Ban

  • Aerosol optical, chemical and physical properties at Gosan, Korea during Asian dust and pollution episodes in 2001

    Sang-Woo Kim;Sang-Woo Kim;Soon-Chang Yoon;Anne Jefferson;John A. Ogren

  • Parallel UPS with a instantaneous current sharing control

    C.S. Lee;S. Kim;C.B. Kim;S.C. Hong

  • Detection of viruses identified recently in children with acute wheezing.

    Ju-Young Chung;Tae Hee Han;Sang Woo Kim;Chang Keun Kim

  • Mobile Robot Localization Using Biased Chirp-Spread-Spectrum Ranging

    Hyeonwoo Cho;Sang Woo Kim

  • Optical-chemical-microphysical relationships and closure studies for mixed carbonaceous aerosols observed at Jeju Island; 3-laser photoacoustic spectrometer, particle sizing, and filter analysis

    B. A. Flowers;M. K. Dubey;C. Mazzoleni;E. A. Stone

  • Environmental snapshots from ACE-Asia

    Ralph Kahn;Jim Anderson;Theodore L. Anderson;Tim Bates

  • A global analysis of climate-relevant aerosol properties retrieved from the network of Global Atmosphere Watch (GAW) near-surface observatories

    Paolo Laj;Paolo Laj;Alessandro Bigi;Clémence Rose;Elisabeth Andrews;Elisabeth Andrews

Frequent Co-Authors

Soon-Chang Yoon
Soon-Chang Yoon Seoul National University
PooGyeon Park
PooGyeon Park Pohang University of Science and Technology
Yongtaek Hong
Yongtaek Hong Seoul National University
Wook Hyun Kwon
Wook Hyun Kwon Daegu Gyeongbuk Institute of Science and Technology
Jhoon Kim
Jhoon Kim Yonsei University
Yugo Kanaya
Yugo Kanaya Japan Agency for Marine-Earth Science and Technology
Nobuo Sugimoto
Nobuo Sugimoto National Institute for Environmental Studies
Itsushi Uno
Itsushi Uno Kyushu University
Ben Johnson
Ben Johnson Met Office
François Dulac
François Dulac French Alternative Energies and Atomic Energy Commission (CEA)

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