World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7124
World Ranking
9273
National Ranking
3946

Chaowei Yang 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 Chaowei Yang 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: 172 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Chaowei Yang 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 Chaowei Yang 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: 40 D-Index — 37th percentile

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

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

Overview

Chaowei Yang is affiliated with George Mason University in the United States, focusing on Environmental Science and Engineering. Their research spans multiple subfields, including Global and Planetary Change, Civil and Structural Engineering, Atmospheric Science, Modeling and Simulation, and Artificial Intelligence.

The primary topics explored by this researcher involve COVID-19 epidemiological studies, the impact of COVID-19 on air quality, Geotechnical Engineering and Soil Stabilization, Data-Driven Disease Surveillance, Geotechnical Engineering and Analysis, COVID-19 Pandemic Impacts, and Geotechnical Engineering and Underground Structures.

Recent publications include the following papers:

  • Spatiotemporal impacts of COVID-19 on air pollution in California, USA (2020, The Science of The Total Environment)
  • Taking the pulse of COVID-19: a spatiotemporal perspective (2020, International Journal of Digital Earth)
  • The Impact of Policy Measures on Human Mobility, COVID-19 Cases, and Mortality in the US: A Spatiotemporal Perspective (2021, International Journal of Environmental Research and Public Health)
  • Spatiotemporal event detection: a review (2020, International Journal of Digital Earth)
  • Individual-Level Fatality Prediction of COVID-19 Patients Using AI Methods (2020, Frontiers in Public Health)

Frequent co-authors collaborating with Chaowei Yang include:

  • Dexuan Sha
  • Qian Liu
  • Yun Li
  • Hai Lan
  • Zifu Wang

The most common publication venues for this scientist are:

  • International Journal of Digital Earth
  • Remote Sensing
  • bioRxiv (Cold Spring Harbor Laboratory)
  • ISPRS International Journal of Geo-Information
  • Data

Best Publications

  • Big Data and cloud computing: innovation opportunities and challenges

    Chaowei Yang;Qunying Huang;Zhenlong Li;Kai Liu

  • Spatial cloud computing: how can the geospatial sciences use and help shape cloud computing?

    Chaowei Yang;Michael F. Goodchild;Qunying Huang;Doug Nebert

  • Geospatial Cyberinfrastructure: Past, present and future

    Chaowei Phil Yang;Robert Raskin;Michael F. Goodchild;Mark Gahegan

  • Geographic information system

    Chaowei Yang;Menas Kafatos;David W. Wong;Henry D. Wolf

  • Big Data in Natural Disaster Management: A Review

    Manzhu Yu;Chaowei Yang;Yun Li

  • Performance‐improving techniques in web‐based GIS

    Chaowei Phil Yang;David Wong;Ruixin Yang;Menas Kafatos

  • Utilizing Cloud Computing to address big geospatial data challenges

    Chaowei Yang;Manzhu Yu;Fei Hu;Yongyao Jiang

  • Spatiotemporal patterns of COVID-19 impact on human activities and environment in Mainland China using nighttime light and air quality data

    Qian Liu;Dexuan Sha;Wei Liu;Paul R. Houser

  • Using spatial principles to optimize distributed computing for enabling the physical science discoveries.

    Chaowei Yang;Huayi Wu;Qunying Huang;Zhenlong Li

  • Redefining the possibility of digital Earth and geosciences with spatial cloud computing

    Chaowei Yang;Yan Xu;Douglas Nebert

  • Taking the pulse of COVID-19: a spatiotemporal perspective

    Chaowei Yang;Dexuan Sha;Qian Liu;Yun Li

  • Deep learning for real-time social media text classification for situation awareness – using Hurricanes Sandy, Harvey, and Irma as case studies

    Manzhu Yu;Qunying Huang;Han Qin;Chris Scheele

  • Introduction to distributed geographic information processing research

    C. Yang;R. Raskin

  • Distributed geospatial information processing: Sharing distributed geospatial resources to support digital earth

    Chaowei Yang;Wenwen Li;Jibo Xie;Bin Zhou

  • Spatial Cloud Computing: A Practical Approach

    Chaowei Yang;Qunying Huang

  • Big Spatiotemporal Data Analytics: a research and innovation frontier

    Chaowei Yang;Keith C. Clarke;Shashi Shekhar;C. Vincent Tao

  • An active crawler for discovering geospatial Web services and their distribution pattern-A case study of OGC Web Map Service

    Wenwen Li;Chaowei Yang;Chongjun Yang

  • Spatiotemporal event detection: a review

    Manzhu Yu;Myra Bambacus;Guido Cervone;Keith C. Clarke

  • A spatiotemporal indexing approach for efficient processing of big array-based climate data with MapReduce

    Zhenlong Li;Fei Hu;John L. Schnase;Daniel Q. Duffy

  • A graph-based approach to detecting tourist movement patterns using social media data

    Fei Hu;Fei Hu;Zhenlong Li;Chaowei Yang;Yongyao Jiang

  • High-performance computing for the simulation of dust storms

    Jibo Xie;Jibo Xie;Chaowei Phil Yang;Bin Zhou;Qunying Huang

Frequent Co-Authors

David W. S. Wong
David W. S. Wong George Mason University
Menas Kafatos
Menas Kafatos Chapman University
Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Paul R. Houser
Paul R. Houser George Mason University
Michael F. Goodchild
Michael F. Goodchild University of California, Santa Barbara
Songqing Chen
Songqing Chen George Mason University
Min Chen
Min Chen South China University of Technology
Keith C. Clarke
Keith C. Clarke University of California, Santa Barbara
Hongjie Xie
Hongjie Xie The University of Texas at San Antonio
Qingquan Li
Qingquan Li Shenzhen University

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Related Online Degrees & Career Pathways

Exploring a Computer Science degree in the USA opens doors to multiple online learning and career options. Students seeking greater flexibility often consider online or accelerated computer science degree programs. Opting for an accelerated computer science degree can help you enter the job market faster and save on tuition costs.

Computer Science also overlaps with related STEM fields, broadening your career pathways. For instance, those interested in environmental technology can look into environmental engineering schools online to blend programming with sustainable innovation. Mechanical engineering is another close discipline. If affordability is a concern, researching mechanical engineering degree cost can help you make informed choices.

If you’re passionate about education or the environment, there are opportunities in interdisciplinary careers. For example, roles in innovation and advocacy may be available for those seeking jobs with elementary education and environmental science degree. These pathways allow you to combine computing skills with teaching or environmental stewardship.

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