World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
13004
World Ranking
6063
National Ranking
803

Electronics and Electrical Engineering

D-Index
46
Citations
12715
World Ranking
3316
National Ranking
535

Overview

Yanyong Zhang is affiliated with the University of Science and Technology of China in China. Their research spans multiple fields, primarily focusing on computer science and engineering, with significant contributions in specialized areas such as computer vision and pattern recognition, artificial intelligence, aerospace engineering, automotive engineering, and computer networks and communications.

The scientist has actively published in topics including advanced neural network applications, robotics and sensor-based localization, autonomous vehicle technology and safety, advanced image and video retrieval techniques, robotic path planning algorithms, 3D surveying and cultural heritage, and dental health and care utilization.

Frequent co-authors collaborating with Yanyong Zhang are Jianmin Ji, Jiajun Deng, Houqiang Li, Sha Zhang, and Wanli Ouyang. Their publications have appeared in venues such as arXiv (Cornell University), International Journal of Computer Vision, Research Square, Proceedings of the AAAI Conference on Artificial Intelligence, and PubMed.

Some recent papers authored or co-authored by Yanyong Zhang include:

  • Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Multi-Modal 3D Object Detection in Autonomous Driving: A Survey, 2023, International Journal of Computer Vision
  • Multi-Modal 3D Object Detection in Autonomous Driving: a Survey, 2021, arXiv (Cornell University)
  • In-Bed Body Motion Detection and Classification System, 2020, ACM Transactions on Sensor Networks
  • Associations Among Self-rated Oral Health, Subjective Oral Conditions, Oral Health Behaviours, and Oral Health-related Quality of Life (OHRQoL), 2023, PubMed

Best Publications

  • The feasibility of launching and detecting jamming attacks in wireless networks

    Wenyuan Xu;Wade Trappe;Yanyong Zhang;Timothy Wood

  • Jamming sensor networks: attack and defense strategies

    Wenyuan Xu;Ke Ma;W. Trappe;Yanyong Zhang

  • Enhancing Source-Location Privacy in Sensor Network Routing

    P. Kamat;Yanyong Zhang;W. Trappe;C. Ozturk

  • IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?

    Liang Xiao;Xiaoyue Wan;Xiaozhen Lu;Yanyong Zhang

  • Robust statistical methods for securing wireless localization in sensor networks

    Zang Li;Wade Trappe;Yanyong Zhang;Badri Nath

  • Source-location privacy in energy-constrained sensor network routing

    Celal Ozturk;Yanyong Zhang;Wade Trappe

  • Channel surfing and spatial retreats: defenses against wireless denial of service

    Wenyuan Xu;Timothy Wood;Wade Trappe;Yanyong Zhang

  • Speech Emotion Recognition Using Fourier Parameters

    Kunxia Wang;Ning An;Bing Nan Li;Yanyong Zhang

  • BlueGene/L Failure Analysis and Prediction Models

    Y. Liang;Y. Zhang;M. Jette;Anand Sivasubramaniam

  • Failure Prediction in IBM BlueGene/L Event Logs

    Yinglung Liang;Yanyong Zhang;Hui Xiong;R. Sahoo

  • Failure data analysis of a large-scale heterogeneous server environment

    R.K. Sahoo;M.S. Squillante;A. Sivasubramaniam;Yanyong Zhang

  • SCPL: indoor device-free multi-subject counting and localization using radio signal strength

    Chenren Xu;Bernhard Firner;Robert S. Moore;Yanyong Zhang

  • Channel surfing: defending wireless sensor networks from interference

    Wenyuan Xu;Wade Trappe;Yanyong Zhang

  • Mobile Edge Cloud System: Architectures, Challenges, and Approaches

    Hang Liu;Fahima Eldarrat;Hanen Alqahtani;Alex Reznik

  • Filtering failure logs for a BlueGene/L prototype

    Y. Liang;Y. Zhang;A. Sivasubramaniam;R.K. Sahoo

  • Performance implications of failures in large-scale cluster scheduling

    Yanyong Zhang;Mark S. Squillante;Anand Sivasubramaniam;Ramendra K. Sahoo

  • An integrated approach to parallel scheduling using gang-scheduling, backfilling, and migration

    Yanyong Zhang;H. Franke;J. Moreira;A. Sivasubramaniam

  • Anti-jamming timing channels for wireless networks

    Wenyuan Xu;Wade Trappe;Yanyong Zhang

  • Crowd++: unsupervised speaker count with smartphones

    Chenren Xu;Sugang Li;Gang Liu;Yanyong Zhang

  • Elf: accelerate high-resolution mobile deep vision with content-aware parallel offloading

    Wuyang Zhang;Zhezhi He;Luyang Liu;Zhenhua Jia

  • Jamming Sensor Networks: Att ack and Defense Strategies

    Wenyuan Xu;Wade Trappe;Yanyong Zhang

Frequent Co-Authors

Wade Trappe
Wade Trappe Rutgers, The State University of New Jersey
Richard Howard
Richard Howard Rutgers, The State University of New Jersey
Dipankar Raychaudhuri
Dipankar Raychaudhuri Rutgers, The State University of New Jersey
Anand Sivasubramaniam
Anand Sivasubramaniam Pennsylvania State University
Wenyuan Xu
Wenyuan Xu Zhejiang University
Yingying Chen
Yingying Chen Rutgers, The State University of New Jersey
Hubertus Franke
Hubertus Franke IBM (United States)
José E. Moreira
José E. Moreira IBM (United States)
Marco Gruteser
Marco Gruteser Rutgers, The State University of New Jersey
Badri Nath
Badri Nath Rutgers, The State University of New Jersey

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