The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Zheng Liu sits on this spectrum.
This scientist: 266 publications — 66th percentile
66% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Zheng Liu sits on this spectrum.
This scientist: 52 D-Index — 65th percentile
65% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Zheng Liu is affiliated with the University of British Columbia in Canada and has a research portfolio spanning engineering with a focus on mechanical engineering, computer vision and pattern recognition, control and systems engineering, aerospace engineering, and electrical and electronic engineering. The scientist has published 516 works in the engineering domain, with a considerable number in specialized subfields including mechanical engineering (98 publications), computer vision and pattern recognition (79), control and systems engineering (78), aerospace engineering (66), and electrical and electronic engineering (64).
Liu's main topics of research include machine fault diagnosis techniques, non-destructive testing techniques, gear and bearing dynamics analysis, fault detection and control systems, infrastructure maintenance and monitoring, smart agriculture and AI, and robotics and sensor-based localization. These themes are reflected consistently in their published works and collaborations.
Frequent co-authors in Liu's body of work include Ke Feng, Huan Liu, Rakiba Rayhana, Junchi Bin, and Jian Ge, indicating a collaborative research environment across multiple related domains.
The scientist's recent papers highlight several areas of focus:
Liu has published extensively in notable venues such as IEEE Transactions on Instrumentation and Measurement (31 publications), arXiv (Cornell University) (20 publications), SSRN Electronic Journal (19 publications), IEEE/ASME Transactions on Mechatronics (11 publications), and Information Fusion (10 publications). This demonstrates active engagement with both peer-reviewed journals and preprint repositories across engineering and applied sciences.
In addition to journal articles, Liu has contributed to book publications, including the title "Multimodal Brain Image Fusion: Methods, Evaluations, and Applications," published by Frontiers Media in 2023.
Zhen Li;Jinglei Yang;Zheng Liu;Xiaomin Yang
Z. Liu;E. Blasch;Z. Xue;J. Zhao
Zheng Liu;Yehuda Kleiner
Gaurav Bhatnagar;Q. M. Jonathan Wu;Zheng Liu
Rick S. Blum;Zheng Liu
Zheng Liu;Norbert Meyendorf;Nezih Mrad
Zhou Zhu;Shabei Xu;Hui Wang;Zheng Liu
Zhou Zhu;Shabei Xu;Hui Wang;Zheng Liu
Jiying Zhao;Zheng Liu
Zheng Liu;Kazuhiko Tsukada;Koichi Hanasaki;Yeong-Khing Ho
Lihua Jian;Xiaomin Yang;Zheng Liu;Gwanggil Jeon
Rosario Morello;Subhas C. Mukhopadhyay;Zheng Liu;Daniel Slomovitz
Gaurav Bhatnagar;Q.M. Jonathan Wu;Zheng Liu
Rakiba Rayhana;Gaozhi Xiao;Zheng Liu
Xiaoli Zhao;Minping Jia;Zheng Liu
Fang Wang;Weiguo Lin;Zheng Liu;Shuochen Wu
Vijay John;Keisuke Yoneda;B. Qi;Zheng Liu
Gaurav Bhatnagar;Q. M. Jonathan Wu;Zheng Liu
Xiang Peng;Uchenna Anyaoha;Zheng Liu;Kazuhiko Tsukada
Vijay John;Seiichi Mita;Zheng Liu;Bin Qi
Zheng Liu;Hiroyuki Ukida;Pradeep Ramuhalli;Kurt Niel
Zheng Liu;Robert Laganière
Zheng Liu;D.S. Forsyth;J.P. Komorowski;K. Hanasaki
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