2026 Zheng Liu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	52	5037	4898	197	186	266	12268

Overview

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:

"Digital twin-driven intelligent assessment of gear surface degradation," 2022, Mechanical Systems and Signal Processing
"Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing," 2023, Reliability Engineering & System Safety
"SEDRFuse: A Symmetric Encoder-Decoder With Residual Block Network for Infrared and Visible Image Fusion," 2020, IEEE Transactions on Instrumentation and Measurement
"Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network," 2022, IEEE Transactions on Neural Networks and Learning Systems
"Internet of Things Empowered Smart Greenhouse Farming," 2020, IEEE Journal of Radio Frequency Identification

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.

Best Publications

Feedback Network for Image Super-Resolution

Zhen Li;Jinglei Yang;Zheng Liu;Xiaomin Yang

866
Citations
Objective Assessment of Multiresolution Image Fusion Algorithms for Context Enhancement in Night Vision: A Comparative Study

Z. Liu;E. Blasch;Z. Xue;J. Zhao

772
Citations
State of the art review of inspection technologies for condition assessment of water pipes

Zheng Liu;Yehuda Kleiner

536
Citations
Directive Contrast Based Multimodal Medical Image Fusion in NSCT Domain

Gaurav Bhatnagar;Q. M. Jonathan Wu;Zheng Liu

526
Citations
Multi-sensor image fusion and its applications

Rick S. Blum;Zheng Liu

349
Citations
The role of data fusion in predictive maintenance using digital twin

Zheng Liu;Norbert Meyendorf;Nezih Mrad

342
Citations
COVID-19 in Wuhan: Immediate Psychological Impact on 5062 Health Workers

Zhou Zhu;Shabei Xu;Hui Wang;Zheng Liu

314
Citations
COVID-19 in Wuhan: Sociodemographic Characteristics and Hospital Support Measures Associated with the Immediate Psychological Impact on Healthcare Workers

Zhou Zhu;Shabei Xu;Hui Wang;Zheng Liu

313
Citations
PERFORMANCE ASSESSMENT OF COMBINATIVE PIXEL-LEVEL IMAGE FUSION BASED ON AN ABSOLUTE FEATURE MEASUREMENT

Jiying Zhao;Zheng Liu

234
Citations
Image fusion by using steerable pyramid

Zheng Liu;Kazuhiko Tsukada;Koichi Hanasaki;Yeong-Khing Ho

226
Citations
SEDRFuse: A Symmetric Encoder–Decoder With Residual Block Network for Infrared and Visible Image Fusion

Lihua Jian;Xiaomin Yang;Zheng Liu;Gwanggil Jeon

222
Citations
Advances on Sensing Technologies for Smart Cities and Power Grids: A Review

Rosario Morello;Subhas C. Mukhopadhyay;Zheng Liu;Daniel Slomovitz

199
Citations
A new contrast based multimodal medical image fusion framework

Gaurav Bhatnagar;Q.M. Jonathan Wu;Zheng Liu

188
Citations
Internet of Things Empowered Smart Greenhouse Farming

Rakiba Rayhana;Gaozhi Xiao;Zheng Liu

187
Citations
Semisupervised Graph Convolution Deep Belief Network for Fault Diagnosis of Electormechanical System With Limited Labeled Data

Xiaoli Zhao;Minping Jia;Zheng Liu

156
Citations
Pipeline Leak Detection by Using Time-Domain Statistical Features

Fang Wang;Weiguo Lin;Zheng Liu;Shuochen Wu

156
Citations
Traffic light recognition in varying illumination using deep learning and saliency map

Vijay John;Keisuke Yoneda;B. Qi;Zheng Liu

148
Citations
Human visual system inspired multi-modal medical image fusion framework

Gaurav Bhatnagar;Q. M. Jonathan Wu;Zheng Liu

143
Citations
Analysis of Magnetic-Flux Leakage (MFL) Data for Pipeline Corrosion Assessment

Xiang Peng;Uchenna Anyaoha;Zheng Liu;Kazuhiko Tsukada

140
Citations
Pedestrian detection in thermal images using adaptive fuzzy C-means clustering and convolutional neural networks

Vijay John;Seiichi Mita;Zheng Liu;Bin Qi

130
Citations
Integrated Imaging and Vision Techniques for Industrial Inspection

Zheng Liu;Hiroyuki Ukida;Pradeep Ramuhalli;Kurt Niel

128
Citations
Phase congruence measurement for image similarity assessment

Zheng Liu;Robert Laganière

126
Citations
Survey: State of the Art in NDE Data Fusion Techniques

Zheng Liu;D.S. Forsyth;J.P. Komorowski;K. Hanasaki

125
Citations

Frequent Co-Authors

Erik Blasch United States Air Force Research Laboratory

Xiaoli Zhao Tongji University

Lei Zhu University of Macau

Rick S. Blum Lehigh University

Q. M. Jonathan Wu University of Windsor

Gwanggil Jeon Incheon National University

Xiaohai He Sichuan University

Solomon Tesfamariam University of Waterloo

Qingquan Li Shenzhen University

Subhas Chandra Mukhopadhyay Macquarie University

External Links

Personal website of Zheng Liu Google Scholar page

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