Zhenbao Liu

5.4k total citations · 2 hit papers
152 papers, 4.0k citations indexed

About

Zhenbao Liu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Aerospace Engineering. According to data from OpenAlex, Zhenbao Liu has authored 152 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 50 papers in Control and Systems Engineering and 33 papers in Aerospace Engineering. Recurrent topics in Zhenbao Liu's work include 3D Shape Modeling and Analysis (28 papers), Fault Detection and Control Systems (23 papers) and Machine Fault Diagnosis Techniques (20 papers). Zhenbao Liu is often cited by papers focused on 3D Shape Modeling and Analysis (28 papers), Fault Detection and Control Systems (23 papers) and Machine Fault Diagnosis Techniques (20 papers). Zhenbao Liu collaborates with scholars based in China, Macao and United States. Zhenbao Liu's co-authors include Shuhui Bu, Junwei Han, Chi‐Man Vong, Zhen Jia, Gong Cheng, Xiaojun Tang, Lei Guo, Haiwen Luo, Xiaohui Wang and Michael Pecht and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Automatica.

In The Last Decade

Zhenbao Liu

141 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Influence of refined hierarchical martensitic microstructures on yield strength and impact toughness of ultra-high strength stainless steel

2020 237 citations Zhenbao Liu et al. Journal of Material Science and Technology profile →
Class-Aware Adversarial Multiwavelet Convolutional Neural Network for Cross-Domain Fault Diagnosis

2023 72 citations Ke Zhao, Zhenbao Liu et al. profile →

Peers

Zhenbao Liu

CVPR

CSE

De Xu China

Zhigang Liu China

Pasquale Daponte Italy

Anthony Tzes Greece

Du‐Ming Tsai Taiwan

John E. Mottershead United Kingdom

Yongchun Fang China

Qiang Wang China

Myoungho Sunwoo South Korea

De Xu China

Zhenbao Liu

2.2k ×1.4

CVPR

814 ×0.8

CSE

986 ×1.3

251 ×0.4

730 ×1.2

Citations per year, relative to Zhenbao Liu Zhenbao Liu (= 1×) peers De Xu

Countries citing papers authored by Zhenbao Liu

Since Specialization

Citations

This map shows the geographic impact of Zhenbao Liu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhenbao Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenbao Liu more than expected).

Fields of papers citing papers by Zhenbao Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhenbao Liu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhenbao Liu. The network helps show where Zhenbao Liu may publish in the future.

Co-authorship network of co-authors of Zhenbao Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhenbao Liu. A scholar is included among the top collaborators of Zhenbao Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhenbao Liu. Zhenbao Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jia, Zhen, et al.. (2025). Joint Prediction of SOH and RUL for Lithium Batteries Considering Capacity Self Recovery and Model Drift. IEEE Internet of Things Journal. 12(12). 22187–22196. 2 indexed citations

Jia, Zhen, et al.. (2025). An Incremental Learning Framework for Mechanical Fault Diagnosis With Bi-Level Multiscale Convolutional Attention. IEEE Transactions on Instrumentation and Measurement. 74. 1–13. 1 indexed citations

Liu, Zhenbao, et al.. (2025). Class-domain alignment with domain importance perception method for aero-engine bearing fault diagnosis across varying operating conditions. Engineering Research Express. 7(3). 35428–35428.

Chen, Lulu, et al.. (2025). Fixed-Time Disturbance Rejection Attitude Control for a Dual-System Hybrid UAV. Drones. 9(4). 232–232.

Jia, Zhen, et al.. (2025). Graph Convolutional Contrastive Learning for Few-Shot Open-Set Fault Diagnosis in Electro-Hydrostatic Actuators. IEEE Transactions on Aerospace and Electronic Systems. 62. 3076–3092.

Liu, Zhenbao, et al.. (2025). Bidirectional Cross-Attention Domain Adaption Transformer Network for Aircraft EMA Fault Diagnosis Under Varying Working Conditions. IEEE Transactions on Aerospace and Electronic Systems. 61(4). 9584–9600.

Yao, Siyuan, et al.. (2024). Shadow-aware decomposed transformer network for shadow detection and removal. Pattern Recognition. 156. 110771–110771.

Jia, Zhen, et al.. (2024). CNN-DBLSTM: A long-term remaining life prediction framework for lithium-ion battery with small number of samples. Journal of Energy Storage. 97. 112947–112947. 29 indexed citations

Wang, Shengdong, et al.. (2024). Fault Detection for UAVs With Spatial-Temporal Learning on Multivariate Flight Data. IEEE Transactions on Instrumentation and Measurement. 73. 1–17. 8 indexed citations

10.

Zou, Xu U., et al.. (2024). Model-Free Control-Based Trajectory Tracking Control of a Tail-Sitter UAV in Hovering Mode. IEEE Transactions on Instrumentation and Measurement. 73. 1–20. 6 indexed citations

11.

Wang, Shengdong, et al.. (2023). Intermittent fault diagnosis of analog circuit based on enhanced one-dimensional vision transformer and transfer learning strategy. Engineering Applications of Artificial Intelligence. 127. 107281–107281. 11 indexed citations

12.

Wang, Shengdong, et al.. (2023). Intermittent fault diagnosis for electronics-rich analog circuit systems based on multi-scale enhanced convolution transformer network with novel token fusion strategy. Expert Systems with Applications. 238. 121964–121964. 18 indexed citations

13.

Liu, Chang, Jianxiong Liang, Changjun Wang, et al.. (2023). Synergistic improvement of strength and ductility via doping cerium into PH13–8Mo stainless steel by laser powder bed fusion. Journal of Material Science and Technology. 174. 106–119. 3 indexed citations

14.

Liu, Zhenbao, et al.. (2023). UAV Path Planning With Terrain Constraints for Aerial Scanning. IEEE Transactions on Intelligent Vehicles. 9(1). 1189–1203. 5 indexed citations

15.

Ma, Bodi, et al.. (2023). Target Tracking Control of UAV Through Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. 24(6). 5983–6000. 42 indexed citations

16.

Chen, Lulu, et al.. (2022). Robust trajectory tracking control for a quadrotor using recursive sliding mode control and nonlinear extended state observer. Aerospace Science and Technology. 128. 107749–107749. 54 indexed citations

17.

Chen, Lulu, et al.. (2021). Robust adaptive recursive sliding mode attitude control for a quadrotor with unknown disturbances. ISA Transactions. 122. 114–125. 58 indexed citations

18.

Zhang, Chao, et al.. (2020). A Novel Intelligent Fault Diagnosis Method Based on Variational Mode Decomposition and Ensemble Deep Belief Network. IEEE Access. 8. 36293–36312. 32 indexed citations

19.

Zhang, Chao, et al.. (2020). An Intelligent Fault Diagnosis Method of Rolling Bearing Under Variable Working Loads Using 1-D Stacked Dilated Convolutional Neural Network. IEEE Access. 8. 63027–63042. 26 indexed citations

20.

Liu, Zhenbao, et al.. (2019). Object Detection in Aerial Images Using Feature Fusion Deep Networks. IEEE Access. 7. 30980–30990. 27 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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