Ming Zhu

2.0k total citations · 1 hit paper
126 papers, 1.4k citations indexed

About

Ming Zhu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Mechanics of Materials. According to data from OpenAlex, Ming Zhu has authored 126 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Biomedical Engineering, 30 papers in Electrical and Electronic Engineering and 23 papers in Mechanics of Materials. Recurrent topics in Ming Zhu's work include Flow Measurement and Analysis (20 papers), Advanced Sensor Technologies Research (17 papers) and Atmospheric aerosols and clouds (10 papers). Ming Zhu is often cited by papers focused on Flow Measurement and Analysis (20 papers), Advanced Sensor Technologies Research (17 papers) and Atmospheric aerosols and clouds (10 papers). Ming Zhu collaborates with scholars based in China, United States and Hong Kong. Ming Zhu's co-authors include Yiqiang Sheng, Yongzhong Huang, Xiaozhou Ye, Xuewen Zeng, Wei Wang, Jinlin Wang, Kesheng Zhang, Shu Wang, Tingting Liu and Michael West and has published in prestigious journals such as SHILAP Revista de lepidopterología, Monthly Notices of the Royal Astronomical Society and Construction and Building Materials.

In The Last Decade

Ming Zhu

115 papers receiving 1.2k citations

Hit Papers

HAST-IDS: Learning Hierar... 2017 2026 2020 2023 2017 100 200 300 400
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. HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection
    2017 422 citations Ming Zhu et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Zhu China 18 453 442 240 229 185 126 1.4k
Yanyan Liu China 19 175 0.4× 149 0.3× 483 2.0× 193 0.8× 93 0.5× 171 1.3k
Xiaoping Li China 18 213 0.5× 241 0.5× 875 3.6× 284 1.2× 120 0.6× 138 1.8k
Zhiwen Pan China 23 781 1.7× 306 0.7× 1.0k 4.3× 109 0.5× 150 0.8× 196 1.9k
Yabo Li China 27 861 1.9× 345 0.8× 1.1k 4.8× 53 0.2× 175 0.9× 122 2.2k
Zhen Liu China 22 233 0.5× 179 0.4× 455 1.9× 202 0.9× 192 1.0× 140 1.6k
Xiao Zhang China 18 95 0.2× 256 0.6× 259 1.1× 295 1.3× 75 0.4× 113 1.3k
Zhi Li China 16 132 0.3× 100 0.2× 155 0.6× 59 0.3× 70 0.4× 187 1.2k
Sang-Ho Oh South Korea 14 361 0.8× 580 1.3× 788 3.3× 137 0.6× 236 1.3× 89 1.7k
Chao Li China 17 95 0.2× 302 0.7× 194 0.8× 63 0.3× 36 0.2× 148 931
Haitao Fang China 18 442 1.0× 392 0.9× 174 0.7× 90 0.4× 29 0.2× 106 1.4k

Countries citing papers authored by Ming Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Ming Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Zhu. A scholar is included among the top collaborators of Ming Zhu 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 Ming Zhu. Ming Zhu 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.
Zhu, Ming, et al.. (2025). Computational scattering scanning method for real-time aerosol particle size distribution measurement. Optics & Laser Technology. 184. 112559–112559. 1 indexed citations
2.
Fan, Hongyun, et al.. (2025). Prediction and risk assessment of lateral collapse in deep foundation pits using machine learning. Automation in Construction. 171. 106011–106011. 6 indexed citations
3.
Zhu, Ming, et al.. (2025). Remaining useful life prediction for stratospheric airships based on a channel and temporal attention network. Communications in Nonlinear Science and Numerical Simulation. 143. 108634–108634. 3 indexed citations
4.
Zhu, Ming, et al.. (2025). TBformer: Multi-Scale Transformer With Time-Behavior Attention for Multi-Modal Customer Churn Prediction. IEEE Transactions on Consumer Electronics. 71(2). 3192–3203. 1 indexed citations
5.
Zhu, Ming, et al.. (2024). The content optimization of supplementary cementitious materials in coral sand-seawater cement mortar: A focus on mechanical properties and transportation costs. Construction and Building Materials. 432. 136022–136022. 9 indexed citations
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Mei, Jie, et al.. (2023). Gas leak detection system in compressor stations based on a microphone array and multi-channel frequency Transformer. Measurement. 219. 113256–113256. 10 indexed citations
10.
Zhu, Ming, et al.. (2023). Identifying gas composition based on the decomposed relaxation strength from sound-speed dispersion. Applied Acoustics. 206. 109264–109264. 4 indexed citations
11.
Zhu, Ming, et al.. (2023). LPHOG: A Line Feature and Point Feature Combined Rotation Invariant Method for Heterologous Image Registration. Remote Sensing. 15(18). 4548–4548. 5 indexed citations
12.
Chen, Ang, et al.. (2022). A Simple Optical Aerosol Sensing Method of Sauter Mean Diameter for Particulate Matter Monitoring. Biosensors. 12(7). 436–436. 6 indexed citations
13.
Lu, Lu, et al.. (2021). Haze Relevant Feature Attention Network for Single Image Dehazing. IEEE Access. 9. 106476–106488. 6 indexed citations
14.
Zhao, Chunlei, et al.. (2021). Residual Spatial and Channel Attention Networks for Single Image Dehazing. Sensors. 21(23). 7922–7922. 7 indexed citations
15.
Xiao, Xiao, et al.. (2021). Three-wavelength optical sensor for measuring distributed mass concentrations of aerosols from stationary sources. Optics Express. 29(5). 6407–6407. 8 indexed citations
16.
Wang, Shu, et al.. (2018). A Sauter mean diameter sensor for fire smoke detection. Sensors and Actuators B Chemical. 281. 920–932. 48 indexed citations
17.
Yan, Feng, Tao Sun, Ming Zhu, et al.. (2017). Salt marsh vegetation distribution patterns along groundwater table and salinity gradients in yellow river estuary under the influence of land reclamation. Ecological Indicators. 92. 82–90. 20 indexed citations
18.
Zhu, Ming, et al.. (2015). Research on the anti habitual violation of power enterprises. 1 indexed citations
19.
Zhu, Ming. (2010). Research on the Multi-Sensor Data Fusion Technology for Network Security. Computer Engineering and Science. 1 indexed citations
20.
Zhu, Ming. (2008). Simulation of Set-Top Box in Time-Shifted TV based on HFC. Microcomputer applications. 2 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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