World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
13467
World Ranking
3104
National Ranking
1512

Electronics and Electrical Engineering

D-Index
52
Citations
10560
World Ranking
2522
National Ranking
964

Overview

Yu-Dong Yao is affiliated with the Stevens Institute of Technology in the United States. Their scientific work spans multiple disciplines with a focus on Medicine, Engineering, and Computer Science. Within these broad fields, their research delves into several subfields including Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering, and Electrical and Electronic Engineering.

The primary topics of Yu-Dong Yao's research encompass Radiomics and Machine Learning in Medical Imaging, AI applications in cancer detection, COVID-19 diagnosis using AI, Cell Image Analysis Techniques, Medical Imaging Techniques and Applications, Lung Cancer Diagnosis and Treatment, and Digital Imaging for Blood Diseases.

Their recent papers include:

  • Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches, 2020, Journal of X-Ray Science and Technology
  • DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques, 2021, Computers in Biology and Medicine
  • A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches, 2022, Artificial Intelligence Review
  • A Survey of Modulation Classification Using Deep Learning: Signal Representation and Data Preprocessing, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • A review of deep learning-based multiple-lesion recognition from medical images: classification, detection and segmentation, 2023, Computers in Biology and Medicine

Yu-Dong Yao frequently publishes in venues such as arXiv (Cornell University), IEEE Access, Computers in Biology and Medicine, Physics in Medicine and Biology, and IEEE Journal of Biomedical and Health Informatics. These venues represent a range of platforms addressing both the technical and medical aspects of their research.

Collaboration is a significant component of their research, working often with coauthors including Chen Li, Shouliang Qi, Yueyang Teng, Md Mamunur Rahaman, and Marcin Grzegorzek. The frequency of these collaborations indicates ongoing partnerships in their research efforts.

Best Publications

  • Modulation Classification Based on Signal Constellation Diagrams and Deep Learning

    Shengliang Peng;Hanyu Jiang;Huaxia Wang;Hathal Alwageed

  • An Adaptive Cooperation Diversity Scheme With Best-Relay Selection in Cognitive Radio Networks

    Yulong Zou;Jia Zhu;Baoyu Zheng;Yu-Dong Yao

  • An Amateur Drone Surveillance System Based on the Cognitive Internet of Things

    Guoru Ding;Qihui Wu;Linyuan Zhang;Yun Lin

  • Deterministic multiuser carrier-frequency offset estimation for interleaved OFDMA uplink

    Zhongren Cao;U. Tureli;Yu-Dong Yao

  • Opportunistic Spectrum Access in Cognitive Radio Networks: Global Optimization Using Local Interaction Games

    Yuhua Xu;Jinlong Wang;Qihui Wu;A. Anpalagan

  • Breast Cancer Detection Using Extreme Learning Machine Based on Feature Fusion With CNN Deep Features

    Zhiqiong Wang;Mo Li;Huaxia Wang;Hanyu Jiang

  • Opportunistic Spectrum Access in Unknown Dynamic Environment: A Game-Theoretic Stochastic Learning Solution

    Yuhua Xu;Jinlong Wang;Qihui Wu;A. Anpalagan

  • Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches.

    Mamunur Rahaman;Chen Li;Yudong Yao;Frank Kulwa

  • Investigations into cochannel interference in microcellular mobile radio systems

    Y.-D. Yao;A.U.H. Sheikh

  • DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques.

    Mamunur Rahaman;Chen Li;Yudong Yao;Frank Kulwa

  • Spatial-Temporal Opportunity Detection for Spectrum-Heterogeneous Cognitive Radio Networks: Two-Dimensional Sensing

    Qihui Wu;Guoru Ding;Jinlong Wang;Yu-Dong Yao

  • Outage probability analysis for microcell mobile radio systems with cochannel interferers in Rician/Rayleigh fading environment

    Y.-D. Yao;A.U.H. Sheikh

  • A Comprehensive Review of Computer-aided Whole-slide Image Analysis: from Datasets to Feature Extraction, Segmentation, Classification, and Detection Approaches.

    Chen Li;Xintong Li;Mamunur Rahaman;Xiaoyan Li

  • A Survey of Modulation Classification Using Deep Learning: Signal Representation and Data Preprocessing

    Shengliang Peng;Shujun Sun;Yu-Dong Yao

  • Cooperative relay techniques for cognitive radio systems: Spectrum sensing and secondary user transmissions

    Yulong Zou;Yu-Dong Yao;Baoyu Zheng

  • Kernel-Based Learning for Statistical Signal Processing in Cognitive Radio Networks: Theoretical Foundations, Example Applications, and Future Directions

    Guoru Ding;Qihui Wu;Yu-Dong Yao;Jinlong Wang

  • Cellular-Base-Station-Assisted Device-to-Device Communications in TV White Space

    Guoru Ding;Jinlong Wang;Qihui Wu;Yu-Dong Yao

  • Method and apparatus of preserving power of a remote unit in a dispatch system

    Eric J. Lekven;Yu-Dong Yao;Matthew S. Grob

  • Modulation classification using convolutional Neural Network based deep learning model

    Shengliang Peng;Hanyu Jiang;Huaxia Wang;Hathal Alwageed

  • A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks

    Xiaomin Zhou;Chen Li;Mamunur Rahaman;Yudong Yao

  • Method and apparatus for efficient data transmission in a voice-over-data communication system

    Yu-Dong Yao

  • Securing physical-layer communications for cognitive radio networks

    Yulong Zou;Jia Zhu;Liuqing Yang;Ying-Chang Liang

  • Cooperative Spectrum Sensing in Cognitive Radio Networks in the Presence of the Primary User Emulation Attack

    Chao Chen;Hongbing Cheng;Yu-Dong Yao

  • Method and apparatus for access regulation and system protection of a dispatch system

    Matthew S. Grob;Yu-Dong Yao;Eric J. Lekven

  • An Amateur Drone Surveillance System Based on Cognitive Internet of Things

    Guoru Ding;Qihui Wu;Linyuan Zhang;Yun Lin

Frequent Co-Authors

Yulong Zou
Yulong Zou Nanjing University of Posts and Telecommunications
Qihui Wu
Qihui Wu Nanjing University of Aeronautics and Astronautics
Hongbin Li
Hongbin Li Stevens Institute of Technology
Guoru Ding
Guoru Ding Southeast University
Wei Qian
Wei Qian The University of Texas at El Paso
Yuhua Xu
Yuhua Xu Nanjing University of Posts and Telecommunications
Yingying Chen
Yingying Chen Rutgers, The State University of New Jersey
Theodoros A. Tsiftsis
Theodoros A. Tsiftsis University Of Thessaly
Haibo He
Haibo He University of Rhode Island
Zan Li
Zan Li Xidian University

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