World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
6998
World Ranking
6202
National Ranking
1719

Jerry Gao 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 Jerry Gao 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: 173 publications — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Jerry Gao 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 Jerry Gao 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: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Overview

Jerry Gao is affiliated with San Jose State University in the United States. Their research spans multiple fields, primarily in computer science, environmental science, and engineering.

The main fields of study in their body of work include:

  • Computer Science
  • Environmental Science
  • Engineering

Within these broader fields, Gao has contributed notably to several subfields, such as:

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Global and Planetary Change

Their research covers a variety of specific topics, with publications addressing:

  • Video Surveillance and Tracking Methods
  • Energy Load and Power Forecasting
  • Software Testing and Debugging Techniques
  • Solar Radiation and Photovoltaics
  • Smart Grid Energy Management
  • Advanced Neural Network Applications
  • Advanced Malware Detection Techniques

Jerry Gao's recent papers illustrate the breadth of their research interests and include:

  • A genetic algorithm for constructing bijective substitution boxes with high nonlinearity (2020, Information Sciences)
  • Data-Driven Wildfire Risk Prediction in Northern California (2021, Atmosphere)
  • Smart Street Litter Detection and Classification Based on Faster R-CNN and Edge Computing (2020, International Journal of Software Engineering and Knowledge Engineering)
  • Spartan Face Mask Detection and Facial Recognition System (2022, Healthcare)
  • A Review for Green Energy Machine Learning and AI Services (2023, Energies)

Publication venues where Gao frequently publishes include the journals and conferences:

  • Smart Cities
  • Atmosphere
  • Energies
  • International Journal of Software Engineering and Knowledge Engineering
  • Preprints.org

Jerry Gao has also contributed to book publications, such as the work published by Springer Science+Business Media titled Intelligent Technologies for Internet of Vehicles (2021).

In terms of collaboration, frequent co-authors in Gao's research are:

  • Jane Y. Wu
  • Priyanka Chawla
  • Radhika Agarwal
  • Yong Wang
  • Sen Chiao

Best Publications

  • Formal approach to scenario analysis

    P. Hsia;J. Samuel;J. Gao;D. Kung

  • Business-to-business e-commerce frameworks

    S.S.Y. Shim;V.S. Pendyala;M. Sundaram;J.Z. Gao

  • Cloud Testing- Issues, Challenges, Needs and Practice

    Jerry Gao;Xiaoying Bai;Wei-Tek Tsai

  • Understanding 2D-BarCode Technology and Applications in M-Commerce - Design and Implementation of A 2D Barcode Processing Solution

    J.Z. Gao;L. Prakash;R. Jagatesan

  • Mobile Application Testing: A Tutorial

    Jerry Gao;Xiaoying Bai;Wei-Tek Tsai;Tadahiro Uehara

  • Recommender Systems for Large-Scale Social Networks: A review of challenges and solutions

    Magdalini Eirinaki;Jerry Gao;Iraklis Varlamis;Konstantinos Tserpes

  • Class firewall, test order, and regression testing of object-oriented programs

    David Chenho Kung;Jerry Gao;Pei Hsia;Jeremy Lin

  • A 2D Barcode-Based Mobile Payment System

    Jerry Gao;Vijay Kulkarni;Himanshu Ranavat;Lee Chang

  • On object state testing

    D. Kung;N. Suchak;J. Gao;P. Hsia

  • A hybrid user similarity model for collaborative filtering

    Yong Wang;Yong Wang;Jiangzhou Deng;Jerry Gao;Pu Zhang

  • Developing an object-oriented software testing and maintenance environment

    David Kung;Jerry Gao;Pei Hsia;Yasufumi Toyoshima

  • On regression testing of object-oriented programs

    David C. Kung;Jerry Gao;Pei Hsia;Yasufumi Toyoshima

  • Cloud testing tools

    Xiaoying Bai;Muyang Li;Bin Chen;Wei-Tek Tsai

  • Big Data Validation and Quality Assurance -- Issuses, Challenges, and Needs

    Jerry Gao;Chunli Xie;Chuanqi Tao

  • SaaS performance and scalability evaluation in clouds

    Jerry Gao;Pushkala Pattabhiraman;Xiaoying Bai;W. T. Tsai

  • Load Balancer as a Service in Cloud Computing

    Mazedur Rahman;Samira Iqbal;Jerry Gao

  • A genetic algorithm for constructing bijective substitution boxes with high nonlinearity

    Yong Wang;Zhiqiang Zhang;Leo Yu Zhang;Jun Feng

  • A Reusable Automated Acceptance Testing Architecture for Microservices in Behavior-Driven Development

    Mazedur Rahman;Jerry Gao

  • Short-Term Rainfall Forecasting Using Multi-Layer Perceptron

    Pengcheng Zhang;Yangyang Jia;Jerry Gao;Wei Song

  • Mobile Cloud Computing Research - Issues, Challenges and Needs

    Ruay-Shiung Chang;Jerry Gao;V. Gruhn;Jingsha He

  • Developing an object-oriented software testing and maintenance environment : Object-oriented experiences

    D. Kung;J. Gao;P. Hsia;Y. Toyoshima

Frequent Co-Authors

Wei-Tek Tsai
Wei-Tek Tsai Arizona State University
Xiaoying Bai
Xiaoying Bai Tsinghua University
Tao Zhang
Tao Zhang Chinese Academy of Sciences
Volker Gruhn
Volker Gruhn University of Duisburg-Essen
Shui Yu
Shui Yu University of Technology Sydney
George Roussos
George Roussos Birkbeck, University of London
Hareton Leung
Hareton Leung Hong Kong Polytechnic University
Latifur Khan
Latifur Khan The University of Texas at Dallas
Dijiang Huang
Dijiang Huang Arizona State University
W. Eric Wong
W. Eric Wong The University of Texas at Dallas

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