World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
10786
World Ranking
6122
National Ranking
2753

Overview

Yingshu Li is affiliated with Georgia State University in the United States and has an extensive research portfolio primarily in computer science and engineering. Their work spans diverse subfields such as artificial intelligence, computer networks and communications, electrical and electronic engineering, information systems, and computer vision and pattern recognition.

Their research topics reflect a focus on privacy-preserving technologies, IoT and edge/fog computing, energy-efficient wireless sensor networks, blockchain applications and security, energy harvesting in wireless networks, digital transformation in industry, and mobile crowdsensing and crowdsourcing.

Yingshu Li's frequently published papers include:

  • A worker-selection incentive mechanism for optimizing platform-centric mobile crowdsourcing systems, 2020, Computer Networks
  • Privacy Protection Based on Stream Cipher for Spatiotemporal Data in IoT, 2020, IEEE Internet of Things Journal
  • Data-Driven Many-Objective Crowd Worker Selection for Mobile Crowdsourcing in Industrial IoT, 2021, IEEE Transactions on Industrial Informatics
  • Sustainable Blockchain-Based Digital Twin Management Architecture for IoT Devices, 2022, IEEE Internet of Things Journal
  • Battery-Free Wireless Sensor Networks: A Comprehensive Survey, 2022, IEEE Internet of Things Journal

Their frequent coauthors include Zhipeng Cai, Luping Zhou, Tongxin Zhu, Lingqiao Liu, and Jianzhong Li.

Yingshu Li publishes regularly in venues such as arXiv (Cornell University), IEEE Internet of Things Journal, High-Confidence Computing, Wireless Communications and Mobile Computing, and IEEE Transactions on Mobile Computing.

Best Publications

  • Energy-efficient target coverage in wireless sensor networks

    M. Cardei;M.T. Thai;Yingshu Li;Weili Wu

  • Collective Data-Sanitization for Preventing Sensitive Information Inference Attacks in Social Networks

    Zhipeng Cai;Zaobo He;Xin Guan;Yingshu Li

  • Distributed Data Aggregation Scheduling in Wireless Sensor Networks

    B. Yu;J. Li;Y. Li

  • Cost-Efficient Strategies for Restraining Rumor Spreading in Mobile Social Networks

    Zaobo He;Zhipeng Cai;Jiguo Yu;Xiaoming Wang

  • Wireless Sensor Networks and Applications

    Yingshu Li;My T Thai;Weili Wu

  • Minimum connected dominating sets and maximal independent sets in unit disk graphs

    Weili Wu;Hongwei Du;Xiaohua Jia;Yingshu Li

  • Nearly Constant Approximation for Data Aggregation Scheduling in Wireless Sensor Networks

    S.C.-H. Huang;Peng-Jun Wan;C.T. Vu;Yingshu Li

  • A greedy approximation for minimum connected dominating sets

    Lu Ruan;Hongwei Du;Xiaohua Jia;Weili Wu

  • Deep Learning Based Inference of Private Information Using Embedded Sensors in Smart Devices

    Yi Liang;Zhipeng Cai;Jiguo Yu;Qilong Han

  • On greedy construction of connected dominating sets in wireless networks

    Yingshu Li;My T. Thai;Feng Wang;Chih Wei Yi

  • Sparse target counting and localization in sensor networks based on compressive sensing

    Bowu Zhang;Xiuzhen Cheng;Nan Zhang;Yong Cui

  • Constructing Minimum Connected Dominating Sets with Bounded Diameters in Wireless Networks

    Donghyun Kim;Yiwei Wu;Yingshu Li;Feng Zou

  • Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems

    Naixue Xiong;A. Vasilakos;L. Yang;Lingyang Song

  • Data Linkage in Smart Internet of Things Systems: A Consideration from a Privacy Perspective

    Xu Zheng;Zhipeng Cai;Yingshu Li

  • Using crowdsourced data in location-based social networks to explore influence maximization

    Ji Li Zhipeng Cai;Mingyuan Yan;Yingshu Li

  • zkCrowd: A Hybrid Blockchain-Based Crowdsourcing Platform

    Saide Zhu;Zhipeng Cai;Huafu Hu;Yingshu Li

  • Follow But No Track: Privacy Preserved Profile Publishing in Cyber-Physical Social Systems

    Xu Zheng;Zhipeng Cai;Jiguo Yu;Chaokun Wang

  • Steiner Trees in Industry

    Xiuzhen Cheng;Yingshu Li;Ding-Zhu Du;Hung Q. Ngo

  • Approximate Holistic Aggregation in Wireless Sensor Networks

    Ji Li;Siyao Cheng;Zhipeng Cai;Jiguo Yu

  • Maximum Lifetime of Sensor Networks with Adjustable Sensing Range

    A. Dhawan;C.T. Vu;A. Zelikovsky;Y. Li

  • Construction algorithms for k-connected m-dominating sets in wireless sensor networks

    Yiwei Wu;Yingshu Li

Frequent Co-Authors

Zhipeng Cai
Zhipeng Cai Georgia State University
Jianzhong Li
Jianzhong Li Harbin Institute of Technology
Shouling Ji
Shouling Ji Zhejiang University
My T. Thai
My T. Thai University of Florida
Raheem Beyah
Raheem Beyah Georgia Institute of Technology
Weili Wu
Weili Wu The University of Texas at Dallas
Ding-Zhu Du
Ding-Zhu Du The University of Texas at Dallas
Xiuzhen Cheng
Xiuzhen Cheng Shandong University
Naixue Xiong
Naixue Xiong Northeastern State University
Jiguo Yu
Jiguo Yu Qilu University of Technology

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

Pursuing Computer Science in the USA opens a wide array of certificate programs that pay well. These specialized certificates can help you enter high-demand fields like cybersecurity or web development, even if you want to change or advance your career quickly.

For those looking to deepen their expertise rapidly, there are options for the quickest masters degree online. These accelerated programs allow you to earn an advanced degree in as little as one year, building valuable skills without a long interruption in your work or personal life.

Choosing the most valuable masters degrees can have a significant impact on your future earning potential and career development. Tech-focused master's degrees remain highly sought-after by employers, especially in AI, data science, and software engineering.

If you're looking for a faster start in the tech workforce, 1 year associate degree programs online provide practical, job-ready skills that can lead to entry-level opportunities in IT and computer science.

Best Scientists Citing Yingshu Li

Trending Scientists

Recently Published Articles