World's Best Scientists 2026 revealed!
Zong Woo Geem

Zong Woo Geem

D-Index & Metrics

Computer Science

D-Index
61
Citations
27657
World Ranking
2991
National Ranking
15

Zong Woo Geem 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 Zong Woo Geem 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: 226 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Zong Woo Geem 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 Zong Woo Geem 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: 61 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

Zong Woo Geem is affiliated with Gachon University in South Korea and has contributed extensively to research in engineering and computer science. Their work spans across several interdisciplinary subfields, including civil and structural engineering, artificial intelligence, computer vision and pattern recognition, electrical and electronic engineering, and building and construction.

Their research primarily focuses on metaheuristic optimization algorithms and evolutionary algorithms, with particular attention to advanced multi-objective optimization techniques. Additional topics covered in their work include topology optimization in engineering, infrastructure maintenance and monitoring, fuzzy logic and control systems, and vibration control with rheological fluids.

Frequent co-authors collaborating with Zong Woo Geem include Gebrail Bekdaş, Sanghun Kim, Sinan Melih Niğdeli, Yaren Aydın, and Junhee Hong.

They have published a number of recent papers notable for their coverage in various scientific journals. Selected recent publications include:

  • "Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer," 2021, Expert Systems with Applications
  • "Pneumonia detection in chest X-ray images using an ensemble of deep learning models," 2021, PLoS ONE
  • "Efficient Pneumonia Detection in Chest Xray Images Using Deep Transfer Learning," 2020, Diagnostics
  • "Investigations of Object Detection in Images/Videos Using Various Deep Learning Techniques and Embedded Platforms-A Comprehensive Review," 2020, Applied Sciences
  • "A Comprehensive Survey of the Harmony Search Algorithm in Clustering Applications," 2020, Applied Sciences

The venues where Zong Woo Geem frequently publishes their work are diverse and include:

  • Applied Sciences
  • Sustainability
  • Mathematics
  • IEEE Access
  • Diagnostics

Their research output, totaling hundreds of publications, demonstrates a blend of engineering principles with computational and artificial intelligence techniques. This cross-disciplinary body of work addresses practical applications of optimization algorithms, image analysis, and intelligent systems within engineering contexts.

Best Publications

  • A New Heuristic Optimization Algorithm: Harmony Search

    Zong Woo Geem;Joong Hoon Kim;G.V. Loganathan

  • A new meta-heuristic algorithm for continuous engineering optimization: harmony search theory and practice

    Kang Seok Lee;Zong Woo Geem

  • A new structural optimization method based on the harmony search algorithm

    Kang Seok Lee;Zong Woo Geem

  • Reptile Search Algorithm (RSA): A nature-inspired meta-heuristic optimizer

    Laith Abualigah;Laith Abualigah;Mohamed Abd Elaziz;Putra Sumari;Zong Woo Geem

  • Optimal Design of Water Distribution Networks Using Harmony Search

    Zong Woo Geem

  • Music-Inspired Harmony Search Algorithm: Theory and Applications

    Zong Woo Geem

  • Harmony Search Optimization: Application to Pipe Network Design

    Z W Geem;J H Kim;G V Loganathan

  • The harmony search heuristic algorithm for discrete structural optimization

    Kang Seok Lee;Zong Woo Geem;Sang-ho Lee;Kyu-woong Bae

  • Parameter estimation of the nonlinear Muskingum model using Harmony Search

    Joong Hoon Kim;Zong Woo Geem;Eung Seok Kim;Eung Seok Kim

  • Survey A survey on applications of the harmony search algorithm

    D. Manjarres;I. Landa-Torres;S. Gil-Lopez;J. Del Ser

  • Music-Inspired Harmony Search Algorithm

    Zong Woo Geem

  • Application of Harmony Search to Vehicle Routing

    Zong Woo Geem;Kang Seok Lee;Yongjin Park

  • Design of low-emission and energy-efficient residential buildings using a multi-objective optimization algorithm

    M. Fesanghary;S. Asadi;Zong Woo Geem

  • Pneumonia detection in chest X-ray images using an ensemble of deep learning models.

    Rohit Kundu;Ritacheta Das;Zong Woo Geem;Gi-Tae Han

  • Novel derivative of harmony search algorithm for discrete design variables

    Zong Woo Geem

  • Harmony search for generalized orienteering problem: best touring in China

    Zong Woo Geem;Chung-Li Tseng;Yongjin Park

  • Particle-swarm harmony search for water network design

    Zong Woo Geem

  • A Critical Review of Robustness in Power Grids Using Complex Networks Concepts

    Lucas Cuadra;Sancho Salcedo-Sanz;Javier Del Ser;Silvia Jiménez-Fernández

  • Efficient Pneumonia Detection in Chest Xray Images Using Deep Transfer Learning.

    Mohammad Farukh Hashmi;Satyarth Katiyar;Avinash G Keskar;Neeraj Dhanraj Bokde

  • Parameter-setting-free harmony search algorithm

    Zong Woo Geem;Kwee-Bo Sim

  • Energy demand estimation of South Korea using artificial neural network

    Zong Woo Geem;William E. Roper

Frequent Co-Authors

Ram Sarkar
Ram Sarkar Jadavpur University
Mehmet Polat Saka
Mehmet Polat Saka Middle East Technical University
Justin C. Williams
Justin C. Williams University of Wisconsin–Madison
Sancho Salcedo-Sanz
Sancho Salcedo-Sanz University of Alcalá
Behnam Mohammadi-Ivatloo
Behnam Mohammadi-Ivatloo Lappeenranta University of Technology
Fevrier Valdez
Fevrier Valdez Instituto Tecnológico de Tijuana
Oscar Castillo
Oscar Castillo Instituto Tecnológico de Tijuana
Javier Del Ser
Javier Del Ser University of the Basque Country
Mohammed Azmi Al-Betar
Mohammed Azmi Al-Betar Ajman University of Science and Technology
Morteza Nazari-Heris
Morteza Nazari-Heris East Carolina University

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