The chart shows the distribution of publications by all Research.com ranked scientists in the field of Electronics and Electrical Engineering in 2026. The highlighted bar marks where Yu-Dong Yao sits on this spectrum.
This scientist: 251 publications — 45th percentile
45% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,065 publications or more.
The chart shows the D-index (discipline H-index) distribution of Electronics and Electrical Engineering scientists ranked by Research.com in 2026. The highlighted bar marks where Yu-Dong Yao sits on this spectrum.
This scientist: 52 D-Index — 64th percentile
64% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 111 D-Index or more.
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:
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.
Shengliang Peng;Hanyu Jiang;Huaxia Wang;Hathal Alwageed
Yulong Zou;Jia Zhu;Baoyu Zheng;Yu-Dong Yao
Guoru Ding;Qihui Wu;Linyuan Zhang;Yun Lin
Zhongren Cao;U. Tureli;Yu-Dong Yao
Yuhua Xu;Jinlong Wang;Qihui Wu;A. Anpalagan
Zhiqiong Wang;Mo Li;Huaxia Wang;Hanyu Jiang
Yuhua Xu;Jinlong Wang;Qihui Wu;A. Anpalagan
Mamunur Rahaman;Chen Li;Yudong Yao;Frank Kulwa
Y.-D. Yao;A.U.H. Sheikh
Mamunur Rahaman;Chen Li;Yudong Yao;Frank Kulwa
Qihui Wu;Guoru Ding;Jinlong Wang;Yu-Dong Yao
Y.-D. Yao;A.U.H. Sheikh
Chen Li;Xintong Li;Mamunur Rahaman;Xiaoyan Li
Shengliang Peng;Shujun Sun;Yu-Dong Yao
Yulong Zou;Yu-Dong Yao;Baoyu Zheng
Guoru Ding;Qihui Wu;Yu-Dong Yao;Jinlong Wang
Guoru Ding;Jinlong Wang;Qihui Wu;Yu-Dong Yao
Eric J. Lekven;Yu-Dong Yao;Matthew S. Grob
Shengliang Peng;Hanyu Jiang;Huaxia Wang;Hathal Alwageed
Xiaomin Zhou;Chen Li;Mamunur Rahaman;Yudong Yao
Yu-Dong Yao
Yulong Zou;Jia Zhu;Liuqing Yang;Ying-Chang Liang
Chao Chen;Hongbing Cheng;Yu-Dong Yao
Matthew S. Grob;Yu-Dong Yao;Eric J. Lekven
Guoru Ding;Qihui Wu;Linyuan Zhang;Yun Lin
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