The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Hai Yu sits on this spectrum.
This scientist: 270 publications — 72nd percentile
72% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 1,028 publications or more.
The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Hai Yu sits on this spectrum.
This scientist: 70 D-Index — 65th percentile
65% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 167 D-Index or more.
Hai Yu is affiliated with the University of California, Davis, in the United States. Their research primarily spans the fields of Computer Science and Engineering, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, and Information Systems.
The scientist has contributed extensively to several topics including Chaos-based Image/Signal Encryption, Software Engineering Research, Software Testing and Debugging Techniques, Advanced Steganography and Watermarking Techniques, Optimization and Variational Analysis, Advanced Optimization Algorithms Research, and Visual Attention and Saliency Detection.
Hai Yu's publication record includes papers in the following venues:
Recent papers authored or coauthored by Hai Yu include:
Frequent coauthors associated with Hai Yu are:
The research output indicates a multidisciplinary approach combining theoretical and applied aspects of computer science and engineering. The work in computer vision, including superpixels and image recognition methods, intersects with machine learning and signal encryption.
Software engineering research is another key element in Hai Yu's portfolio, reflected in publications addressing software testing, debugging techniques, and semantic issues related to dependency conflicts.
Hai Yu;Harshal Chokhawala;Rebekah Karpel;Hui Yu
Vered Padler-Karavani;Hai Yu;Hongzhi Cao;Harshal Chokhawala
Lun Zhou;Hai Yu;Kun Chen
Yang Liu;Lihua Lai;Qingyun Chen;Yinjing Song
H Yu;Y Yanagisawa;M A Forbes;E H Cooper
Emma Byres;Adrienne W Paton;James C Paton;Jonas C Lofling
Hai Yu;Hui Yu;Rebekah Karpel;Xi Chen
Hai Yu;Shengshu Huang;Harshal Chokhawala;Mingchi Sun
Kam Lau;Vireak Thon;Hai Yu;Li Ding
Guo Yun Chen;Xi Chen;Samantha King;Karen A. Cavassani
Hai Yu;Harshal A. Chokhawala;Shengshu Huang;Xi Chen
Sandra L. Diaz;Vered Padler-Karavani;Darius Ghaderi;Nancy Hurtado-Ziola
Rachel E. Taylor;Christopher J. Gregg;Vered Padler-Karavani;Darius Ghaderi
Hai Yu;Xi Chen
Yang Liu;Qingyun Chen;Yinjing Song;Lihua Lai
Lei Li;Yunpeng Liu;Cheng Ma;Jingyao Qu
Vered Padler-Karavani;Nancy Hurtado-Ziola;Minya Pu;Hai Yu
H. Yu;L. Güvenç;Ü. Özgüner
Xuezheng Song;Hai Yu;Xi Chen;Yi Lasanajak
Jianping Pan;Minghui Zhang;Jianli Wang;Qingqing Wang
If you think any of the details on this page are incorrect, let us know.
DSM (Netherlands)
Natural History Museum
Inserm
University of Nottingham
University of Chicago
University of California, Los Angeles
Inserm
University of Navarra
Columbia University
National Higher French Institute of Aeronautics and Space
San Francisco State University
Simon Fraser University
Tatung University
Rutherford Appleton Laboratory
Indian Institute of Technology Madras
The University of Texas MD Anderson Cancer Center
