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Kihwan 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 Kihwan 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+

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

Kihwan 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 Kihwan 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+

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

Overview

Kihwan Kim is affiliated with Nvidia in the United Kingdom and conducts research primarily within the fields of Computer Science and Engineering. Their work spans several subfields, including Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence, Aerospace Engineering, and Computer Networks and Communications.

Their research topics cover a range of areas such as Technology and Data Analysis, AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, UAV Applications and Optimization, Education and Learning Interventions, as well as Radar Systems and Signal Processing and Welding Techniques and Residual Stresses.

Recent published papers by Kihwan Kim include these contributions:

  • "Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study" (2020, The Lancet Digital Health)
  • "Deep Learning-Based Drone Classification Using Radar Cross Section Signatures at mmWave Frequencies" (2021, IEEE Access)
  • "Mammographically occult breast cancers detected with AI-based diagnosis supporting software: clinical and histopathologic characteristics" (2022, Insights into Imaging)
  • "Online Adaptation for Consistent Mesh Reconstruction in the Wild" (2020, arXiv (Cornell University))
  • "Real-Time Streaming Image Based PP2LFA-CRNN Model for Facial Sentiment Analysis" (2020, IEEE Access)

Kihwan Kim has collaborated frequently with several coauthors, including Hoon Jae Lee, Mohammed Abdulhakim Al-Absi, Young Sil Lee, Ahmed Abdulhakim Al-Absi, and Rui Fu. These collaborations have contributed to multiple publications reinforcing their multidisciplinary research approach.

The venues where Kihwan Kim publishes most frequently are:

  • arXiv (Cornell University)
  • Journal of the Korean Association of Defense Industry Studies
  • IEEE Access
  • The Institute for Education and Research Gyeongin National University of Education
  • MATTER International Journal of Science and Technology

Best Publications

  • Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks

    Pavlo Molchanov;Xiaodong Yang;Shalini Gupta;Kihwan Kim

  • Hand gesture recognition with 3D convolutional neural networks

    Pavlo Molchanov;Shalini Gupta;Kihwan Kim;Jan Kautz

  • Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

    Anurag Ranjan;Varun Jampani;Lukas Balles;Kihwan Kim

  • Geometry-Aware Learning of Maps for Camera Localization

    Samarth Brahmbhatt;Jinwei Gu;Kihwan Kim;James Hays

  • Low-temperature irradiation behavior of uranium–molybdenum alloy dispersion fuel☆

    M.K Meyer;G.L Hofman;S.L Hayes;C.R Clark

  • Multi-sensor system for driver's hand-gesture recognition

    Pavlo Molchanov;Shalini Gupta;Kihwan Kim;Kari Pulli

  • How transformational leadership facilitates innovative behavior of Korean workers Examining mediating and moderating processes

    Suk Bong Choi;Kihwan Kim;S. M. Ebrahim Ullah;Seung-Wan Kang

  • Short-range FMCW monopulse radar for hand-gesture sensing

    Pavlo Molchanov;Shalini Gupta;Kihwan Kim;Kari Pulli

  • PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image

    Chen Liu;Kihwan Kim;Jinwei Gu;Yasutaka Furukawa

  • DeepGMR: Learning Latent Gaussian Mixture Models for Registration

    Wentao Yuan;Benjamin Eckart;Kihwan Kim;Varun Jampani

  • Gaussian process regression flow for analysis of motion trajectories

    Kihwan Kim;Dongryeol Lee;Irfan Essa

  • Effects of transformational and shared leadership styles on employees' perception of team effectiveness.

    Suk Bong Choi;Kihwan Kim;Seung-Wan Kang

  • Radar based user interface

    Pavlo Molchanov;Shalini Gupta;Kihwan Kim;Kari Pulli

  • Simulations of chalcopyrite/c-Si tandem cells using SCAPS-1D

    Kihwan Kim;Jihye Gwak;Seung Kyu Ahn;Young-Joo Eo

  • Neural RGB®D Sensing: Depth and Uncertainty From a Video Camera

    Chao Liu;Jinwei Gu;Kihwan Kim;Srinivasa G. Narasimhan

  • Self-supervised Single-View 3D Reconstruction via Semantic Consistency

    Xueting Li;Sifei Liu;Kihwan Kim;Shalini de Mello

  • Neural Inverse Rendering of an Indoor Scene From a Single Image

    Soumyadip Sengupta;Jinwei Gu;Kihwan Kim;Guilin Liu

  • Motion fields to predict play evolution in dynamic sport scenes

    Kihwan Kim;Matthias Grundmann;Ariel Shamir;Iain Matthews

  • Characterization of U-2 wt% Mo and U-10 wt% Mo alloy powders prepared by centrifugal atomization

    Ki Hwan Kim;Don Bac Lee;Chang Kyu Kim;Gerard E. Hofman

  • MapNet: Geometry-Aware Learning of Maps for Camera Localization

    Samarth Brahmbhatt;Jinwei Gu;Kihwan Kim;James Hays

Frequent Co-Authors

Andrea Serrani
Andrea Serrani The Ohio State University
Yu Cao
Yu Cao University of Minnesota
Jae Ho Yun
Jae Ho Yun United States Department of Energy
Alonzo Kelly
Alonzo Kelly Carnegie Mellon University
Suk-Joong L. Kang
Suk-Joong L. Kang Korea Advanced Institute of Science and Technology
Sun Ig Hong
Sun Ig Hong Chungnam National University
Dieter Fox
Dieter Fox University of Washington
Donghwan Kim
Donghwan Kim Korea University

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