World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
7146
World Ranking
7638
National Ranking
3307

Won Suk Lee publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Won Suk Lee sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 136 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Won Suk Lee D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Won Suk Lee sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 44 D-Index — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Won Suk Lee is affiliated with the University of Florida in the United States and has a research focus primarily within the field of Agricultural and Biological Sciences. Their work spans several interconnected subfields, including Plant Science, Electrical and Electronic Engineering, Analytical Chemistry, Ecology, and Cell Biology.

Their research contributions are concentrated on various specialized topics, notably:

  • Smart Agriculture and AI
  • Spectroscopy and Chemometric Analyses
  • Photonic and Optical Devices
  • Leaf Properties and Growth Measurement
  • Plant Disease Management Techniques
  • Remote Sensing in Agriculture
  • Berry genetics and cultivation research

Recent published papers by Won Suk Lee demonstrate engagement with different aspects of agricultural automation and sensing technologies. Notable papers include:

  • A Review of the Applications of the Internet of Things (IoT) for Agricultural Automation, 2020, Journal of Biosystems Engineering
  • Strawberry Maturity Classification from UAV and Near-Ground Imaging Using Deep Learning, 2021, Smart Agricultural Technology
  • Stereo-vision-based crop height estimation for agricultural robots, 2020, Computers and Electronics in Agriculture
  • Active thermal imaging for immature citrus fruit detection, 2020, Biosystems Engineering
  • Deep learning-based postharvest strawberry bruise detection under UV and incandescent light, 2022, Computers and Electronics in Agriculture

Won Suk Lee frequently collaborates with multiple researchers in the field, including:

  • Yiannis Ampatzidis
  • Congliang Zhou
  • John K. Schueller
  • Natália A. Peres
  • Yusheng Bian

Their work is often published in venues that focus on agricultural technology and engineering, such as:

  • SSRN Electronic Journal
  • Computers and Electronics in Agriculture
  • Smart Agricultural Technology
  • Journal of Biosystems Engineering
  • Sensors

Best Publications

  • Review: Sensing technologies for precision specialty crop production

    W. S. Lee;V. Alchanatis;C. Yang;M. Hirafuji

  • Identification of citrus disease using color texture features and discriminant analysis

    R. Pydipati;T. F. Burks;W. S. Lee

  • Comparison of two aerial imaging platforms for identification of Huanglongbing-infected citrus trees

    Francisco Garcia-Ruiz;Sindhuja Sankaran;Joe Mari Maja;Won Suk Lee

  • Robotic weed control system for tomatoes

    Won Suk Lee

  • Green citrus detection using hyperspectral imaging

    Hiroshi Okamoto;Won Suk Lee

  • Strawberry Yield Prediction Based on a Deep Neural Network Using High-Resolution Aerial Orthoimages

    Yang Chen;Won Suk Lee;Hao Gan;Natalia Peres

  • Green citrus detection using 'eigenfruit', color and circular Gabor texture features under natural outdoor conditions

    Ferhat Kurtulmus;Won Suk Lee;Ali Vardar

  • Identification and determination of the number of immature green citrus fruit in a canopy under different ambient light conditions

    Subhajit Sengupta;Won Suk Lee

  • A Review of the Applications of the Internet of Things (IoT) for Agricultural Automation

    Wan-Soo Kim;Won-Suk Lee;Yong-Joo Kim

  • Spectral difference analysis and airborne imaging classification for citrus greening infected trees

    Xiuhua Li;Won Suk Lee;Minzan Li;Reza Ehsani

  • Immature green citrus fruit detection using color and thermal images

    Hao Gan;Won Suk Lee;Victor Alchanatis;Reza Ehsani

  • Original paper: Diagnosis of bacterial spot of tomato using spectral signatures

    C. D. Jones;J. B. Jones;W. S. Lee

  • DETERMINATION OF SIGNIFICANT WAVELENGTHS AND PREDICTION OF NITROGEN CONTENT FOR CITRUS

    M. Min;W. S. Lee

  • Automated Systems Based on Machine Vision for Inspecting Citrus Fruits from the Field to Postharvest—a Review

    Sergio Cubero;Won Suk Lee;Nuria Aleixos;Francisco Albert

  • STATISTICAL AND NEURAL NETWORK CLASSIFIERS FOR CITRUS DISEASE DETECTION USING MACHINE VISION

    R. Pydipati;T. F. Burks;W. S. Lee

  • Immature peach detection in colour images acquired in natural illumination conditions using statistical classifiers and neural network

    Ferhat Kurtulmus;Won Suk Lee;Ali Vardar

  • Recognising blueberry fruit of different maturity using histogram oriented gradients and colour features in outdoor scenes

    Kezhu Tan;Won Suk Lee;Hao Gan;Shuwen Wang

  • Immature green citrus detection based on colour feature and sum of absolute transformed difference (SATD) using colour images in the citrus grove

    Chuanyuan Zhao;Won Suk Lee;Dongjian He

  • Citrus greening disease detection using aerial hyperspectral and multispectral imaging techniques

    Arun Kumar;Won Suk Lee;Reza J. Ehsani;L. Gene Albrigo

  • Color Vision System for Estimating Citrus Yield in Real-time

    Palaniappan Annamalai;Won Suk Lee;Thomas F. Burks

  • Modeling and Testing of Growth Status for Chinese Cabbage and White Radish with UAV-Based RGB Imagery

    Dong-Wook Kim;Hee Sup Yun;Sang-Jin Jeong;Young-Seok Kwon

Frequent Co-Authors

Natalia A. Peres
Natalia A. Peres University of Florida
Paul D. Gader
Paul D. Gader University of Florida
Pamela D. Roberts
Pamela D. Roberts Southwest Florida Research
A.H.C. van Bruggen
A.H.C. van Bruggen University of Florida
Jeffrey B. Jones
Jeffrey B. Jones University of Florida
Randy C. Ploetz
Randy C. Ploetz University of Florida
Burton H. Singer
Burton H. Singer University of Florida
José Blasco
José Blasco University of Valencia
Sang-Wook Kim
Sang-Wook Kim Ajou University
Jong-Ho Lee
Jong-Ho Lee Soongsil University

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