Ze Liu

1.4k total citations · 2 hit papers
83 papers, 983 citations indexed

About

Ze Liu is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Ze Liu has authored 83 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Electrical and Electronic Engineering, 35 papers in Mechanical Engineering and 22 papers in Mechanics of Materials. Recurrent topics in Ze Liu's work include Non-Destructive Testing Techniques (32 papers), Electrical and Bioimpedance Tomography (25 papers) and Ultrasonics and Acoustic Wave Propagation (19 papers). Ze Liu is often cited by papers focused on Non-Destructive Testing Techniques (32 papers), Electrical and Bioimpedance Tomography (25 papers) and Ultrasonics and Acoustic Wave Propagation (19 papers). Ze Liu collaborates with scholars based in China, United States and Hong Kong. Ze Liu's co-authors include Yingfeng Cai, Hai Wang, Hongbo Gao, Long Chen, Yunyi Jia, Yicheng Li, Pengfei Zhao, Sichuan Xu, Xiaoqiang Sun and Yupeng Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Energy.

In The Last Decade

Ze Liu

75 papers receiving 954 citations

Hit Papers

Robust Target Recognition and Tracking of Self-Driving Ca... 2021 2026 2022 2024 2021 2024 50 100 150 200
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.

  1. Robust Target Recognition and Tracking of Self-Driving Cars With Radar and Camera Information Fusion Under Severe Weather Conditions
    2021 210 citations Ze Liu et al. profile →
  2. Inverse design of phononic meta-structured materials
    2024 49 citations Ze Liu, Cheng Li et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ze Liu China 15 349 323 209 186 171 83 983
Dominik Sankowski Poland 19 740 2.1× 357 1.1× 133 0.6× 424 2.3× 269 1.6× 132 1.2k
Rosario Schiano Lo Moriello Italy 19 438 1.3× 124 0.4× 103 0.5× 105 0.6× 220 1.3× 111 1.1k
Zhonghua Wang China 12 143 0.4× 337 1.0× 146 0.7× 225 1.2× 53 0.3× 66 1.1k
Thomas Bretterklieber Austria 17 543 1.6× 255 0.8× 36 0.2× 135 0.7× 197 1.2× 84 928
Hongxing Wei China 15 116 0.3× 402 1.2× 197 0.9× 92 0.5× 201 1.2× 112 1.0k
Zhijie Zhang China 17 204 0.6× 423 1.3× 79 0.4× 314 1.7× 186 1.1× 125 909
Yuankun Liu China 19 310 0.9× 300 0.9× 609 2.9× 138 0.7× 50 0.3× 69 1.0k
Haiyong Chen China 22 333 1.0× 342 1.1× 621 3.0× 50 0.3× 57 0.3× 92 1.7k
Paolo Bosetti Italy 20 141 0.4× 397 1.2× 91 0.4× 106 0.6× 131 0.8× 71 1.0k
Ajay Mahajan United States 18 349 1.0× 225 0.7× 181 0.9× 73 0.4× 124 0.7× 89 989

Countries citing papers authored by Ze Liu

Since Specialization
Citations

This map shows the geographic impact of Ze 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 Ze Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ze Liu more than expected).

Fields of papers citing papers by Ze Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ze 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 Ze Liu. The network helps show where Ze Liu may publish in the future.

Co-authorship network of co-authors of Ze Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ze Liu. A scholar is included among the top collaborators of Ze 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 Ze Liu. Ze Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Ze, et al.. (2025). Adaptive Measurement for High-Speed Electromagnetic Tomography via Deep Reinforcement Learning. IEEE Transactions on Instrumentation and Measurement. 74. 1–14. 1 indexed citations
2.
Liu, Ze, et al.. (2025). Deep Learning for Image Reconstruction in Electrical Tomography: A Review. IEEE Sensors Journal. 25(9). 14522–14538. 1 indexed citations
3.
Liu, Ze, et al.. (2025). Hardware acceleration of electromagnetic tomography image reconstruction based on FPGA. Flow Measurement and Instrumentation. 105. 102923–102923.
4.
Li, Gan, Ze Liu, L. Xia, et al.. (2025). A generalized model for predicting the optimal overlap rate and height of successive single-layer involved in laser metal deposition process based on the aspect ratio. Optics & Laser Technology. 191. 113364–113364. 1 indexed citations
5.
Shan, Shengbo, et al.. (2024). Amplitude-dependent second harmonic Lamb waves for discriminating delamination from background nonlinearities in composite plates. NDT & E International. 148. 103238–103238. 6 indexed citations
6.
Zhao, Pengfei & Ze Liu. (2024). Rotational Convolution Design in Convolutional Neural Networks for Direct 3D Electromagnetic Tomography. Applied Sciences. 14(8). 3182–3182. 2 indexed citations
7.
Zhao, Pengfei & Ze Liu. (2024). Influence on Sample Determination for Deep Learning Electromagnetic Tomography. Sensors. 24(8). 2452–2452. 2 indexed citations
8.
Liu, Ze, et al.. (2024). Research on FPC coils with limited turns in planar electromagnetic tomography. Measurement. 241. 115741–115741. 1 indexed citations
9.
Liu, Ze, et al.. (2023). Current research and future directions of melatonin's role in seed germination. SHILAP Revista de lepidopterología. 3(1). 53–53. 8 indexed citations
10.
Di, Hui, et al.. (2022). Multi-source inverse-curriculum-based training for low-resource dialogue generation. Applied Intelligence. 53(11). 13665–13676. 2 indexed citations
11.
12.
Liu, Ze, et al.. (2022). Transverse Crack Detection of Rail Base Considering Wedge-Like Structure and Using a Bulk-Wave Electromagnetic Acoustic Transducer. IEEE Transactions on Instrumentation and Measurement. 71. 1–9. 11 indexed citations
13.
Di, Hui, et al.. (2021). Modeling semantic and emotional relationship in multi-turn emotional conversations using multi-task learning. Applied Intelligence. 52(4). 4663–4673. 10 indexed citations
14.
Liu, Ze, et al.. (2020). Analytical Model and Analysis of Spiral-Coil EMAT Above a Ferromagnetic Plate. IEEE Transactions on Magnetics. 56(9). 1–9. 4 indexed citations
15.
Liu, Ze, et al.. (2020). Fast Electromagnetic Tomography Image Reconstruction Algorithm Based on Dimension Reduction Technique. Sensing and Imaging. 21(1). 5 indexed citations
16.
Liu, Ze, et al.. (2020). Research on Direct 3D Electromagnetic Tomography Technique. IEEE Sensors Journal. 20(9). 4758–4767. 17 indexed citations
17.
Yu, Miao, et al.. (2020). Electromagnetic Tomography System for Defect Detection of High-Speed Rail Wheel. Journal of Beijing Institute of Technology. 29(4). 474–483. 1 indexed citations
18.
Liu, Ze, et al.. (2019). High-Speed Electromagnetic Train Wheel Inspection Using a Kalman-Model-Based Demodulation Algorithm. IEEE Sensors Journal. 19(16). 6833–6843. 14 indexed citations
19.
Xiao, Jun, et al.. (2018). Deep Learning Image Reconstruction Simulation for Electromagnetic Tomography. IEEE Sensors Journal. 18(8). 3290–3298. 59 indexed citations
20.
Liu, Ze. (2012). Fault Diagnosis of Railway Track Circuits Using Fuzzy Neural Network. Journal of the China Railway Society. 3 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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