World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
7383
World Ranking
8394
National Ranking
3594

Overview

Shaowen Wang is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research encompasses diverse fields with a focus on scientific computing, data management, environmental engineering, and public health-related studies, integrating computational methods to address complex challenges.

Their recent scholarly contributions include the following publications:

  • Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA (2020), published in International Journal of Health Geographics
  • An Empirical Study of Adversarial Examples on Remote Sensing Image Scene Classification (2021), published in IEEE Transactions on Geoscience and Remote Sensing
  • Double cropping and cropland expansion boost grain production in Brazil (2021), published in Nature Food
  • An attention U-Net model for detection of fine-scale hydrologic streamlines (2021), published in Environmental Modelling & Software
  • Toward open and reproducible environmental modeling by integrating online data repositories, computational environments, and model Application Programming Interfaces (2020), published in Environmental Modelling & Software

Highly frequent coauthors collaborating with Shaowen Wang include:

  • Alexander Michels
  • Fangzheng Lyu
  • Jeon-Young Kang
  • David G. Tarboton
  • Zhiyu Li

Wang's publications have appeared repeatedly in key venues relevant to their research domains:

  • arXiv (Cornell University)
  • Environmental Modelling & Software
  • SSRN Electronic Journal
  • HydroShare Resources
  • Transactions in GIS

Their expertise spans several subfields, including:

  • Transportation
  • Epidemiology
  • Information Systems and Management
  • Environmental Engineering
  • Artificial Intelligence

Main topics addressed in Wang's body of work include:

  • Scientific Computing and Data Management
  • Hydrology and Watershed Management Studies
  • COVID-19 epidemiological studies
  • Human Mobility and Location-Based Analysis
  • Liver Disease Diagnosis and Treatment
  • Data Management and Algorithms
  • Flood Risk Assessment and Management

Best Publications

  • Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

    Yaping Cai;Kaiyu Guan;David Lobell;Andries B. Potgieter

  • A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

    Yaping Cai;Kaiyu Guan;Jian Peng;Shaowen Wang

  • Mapping the global Twitter heartbeat: The geography of Twitter

    Kalev Leetaru;Shaowen Wang;Guofeng Cao;Anand Padmanabhan

  • A CyberGIS framework for the synthesis of cyberinfrastructure, GIS, and spatial analysis

    Shaowen Wang

  • Sustainable land use optimization using Boundary-based Fast Genetic Algorithm

    Kai Cao;Kai Cao;Kai Cao;Bo Huang;Shaowen Wang;Hui Lin

  • A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level

    Hao Jiang;Hao Hu;Renhai Zhong;Jinfan Xu

  • A quadtree approach to domain decomposition for spatial interpolation in grid computing environments

    Shaowen Wang;Marc P. Armstrong

  • CyberGIS software: a synthetic review and integration roadmap

    Shaowen Wang;Luc Anselin;Budhendra Bhaduri;Christopher Crosby

  • GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams

    Chao Zhang;Guangyu Zhou;Quan Yuan;Honglei Zhuang

  • The emergence of spatial cyberinfrastructure

    Dawn J. Wright;Shaowen Wang

  • Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning

    Chao Zhang;Keyang Zhang;Quan Yuan;Haoruo Peng

  • A theoretical approach to the use of cyberinfrastructure in geographical analysis

    Shaowen Wang;Marc P. Armstrong

  • A scalable framework for spatiotemporal analysis of location-based social media data

    Guofeng Cao;Shaowen Wang;Myunghwa Hwang;Anand Padmanabhan

  • Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA.

    Jeon Young Kang;Alexander C Michels;Fangzheng Lyu;Shaohua Wang

  • TeraGrid GIScience Gateway: Bridging cyberinfrastructure and GIScience

    Shaowen Wang;Yan Liu

  • A parallel computing approach to viewshed analysis of large terrain data using graphics processing units

    Yanli Zhao;Anand Padmanabhan;Shaowen Wang

  • Depicting urban boundaries from a mobility network of spatial interactions: a case study of Great Britain with geo-located Twitter data

    Junjun Yin;Aiman Soliman;Dandong Yin;Shaowen Wang

  • A scalable parallel genetic algorithm for the Generalized Assignment Problem

    Yan Y. Liu;Shaowen Wang

  • PEAR: a massively parallel evolutionary computation approach for political redistricting optimization and analysis

    Yan Y. Liu;Wendy K. Tam Cho;Shaowen Wang

  • A CyberGIS Integration and Computation Framework for High-Resolution Continental-Scale Flood Inundation Mapping

    Yan Y. Liu;David R. Maidment;David G. Tarboton;Xing Zheng

  • Interoperation of world-wide production e-Science infrastructures

    M. Riedel;E. Laure;Th. Soddemann;L. Field

Frequent Co-Authors

David G. Tarboton
David G. Tarboton Utah State University
Ge Wang
Ge Wang Rensselaer Polytechnic Institute
Kaiyu Guan
Kaiyu Guan University of Illinois at Urbana-Champaign
Martyn P. Clark
Martyn P. Clark University of Saskatchewan
Gregory E. Tucker
Gregory E. Tucker University of Colorado Boulder
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Bart Nijssen
Bart Nijssen University of Washington
Xin-Guang Zhu
Xin-Guang Zhu Chinese Academy of Sciences
Stephen P. Long
Stephen P. Long University of Illinois at Urbana-Champaign

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring computer science in the USA opens a variety of online education and career options. Many students are now considering most useful masters degrees in technology fields to increase earning potential and job opportunities. For those looking to enter the field quickly, earning one of the many associates degrees online can provide vital skills and serve as a stepping stone toward a bachelor’s degree.

Cost is an important factor for many students. Searching for cheap online college classes can help you get quality education without significant financial strain. Additionally, students worried about their grades needn’t feel limited; there are several college that accepts low gpa applicants, making computer science degrees more accessible.

Carefully consider your career ambitions and personal circumstances when selecting an online program. Many flexible and affordable pathways exist to help you start or advance your career in computer science.

Best Scientists Citing Shaowen Wang

Trending Scientists

Recently Published Articles