Zhangmeng Liu

2.9k total citations · 1 hit paper
71 papers, 2.2k citations indexed

About

Zhangmeng Liu is a scholar working on Signal Processing, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Zhangmeng Liu has authored 71 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Signal Processing, 25 papers in Artificial Intelligence and 23 papers in Aerospace Engineering. Recurrent topics in Zhangmeng Liu's work include Speech and Audio Processing (25 papers), Direction-of-Arrival Estimation Techniques (21 papers) and Wireless Signal Modulation Classification (17 papers). Zhangmeng Liu is often cited by papers focused on Speech and Audio Processing (25 papers), Direction-of-Arrival Estimation Techniques (21 papers) and Wireless Signal Modulation Classification (17 papers). Zhangmeng Liu collaborates with scholars based in China, New Zealand and United States. Zhangmeng Liu's co-authors include Zhitao Huang, Yiyu Zhou, Philip S. Yu, Chenwei Zhang, Xueqiong Li, Fucheng Guo, Yunzhi Fu, Qixin Zhou, Jian Liu and Yukou Du and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Catalysis B: Environmental and Journal of Materials Chemistry A.

In The Last Decade

Zhangmeng Liu

67 papers receiving 2.2k citations

Hit Papers

Direction-of-Arrival Esti... 2018 2026 2020 2023 2018 100 200 300
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. Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections
    2018 377 citations Zhangmeng Liu, Chenwei Zhang et al. IEEE Transactions on Antennas and Propagation profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhangmeng Liu China 24 1.3k 823 677 518 215 71 2.2k
Hao He China 16 243 0.2× 1.2k 1.4× 453 0.7× 96 0.2× 79 0.4× 48 1.6k
Wenjie Wang China 21 184 0.1× 401 0.5× 989 1.5× 204 0.4× 65 0.3× 135 1.5k
Sichun Wang China 17 215 0.2× 172 0.2× 469 0.7× 190 0.4× 72 0.3× 94 1.1k
Minglei Yang China 19 631 0.5× 578 0.7× 278 0.4× 140 0.3× 88 0.4× 108 1.1k
R.A. Iltis United States 26 396 0.3× 279 0.3× 1.7k 2.5× 417 0.8× 456 2.1× 134 2.4k
Shuai Han China 27 162 0.1× 1.1k 1.3× 1.3k 1.9× 260 0.5× 23 0.1× 210 2.2k
Ka Wai Cheung Hong Kong 11 182 0.1× 189 0.2× 693 1.0× 261 0.5× 85 0.4× 27 892
Yan Yang China 19 102 0.1× 138 0.2× 453 0.7× 213 0.4× 82 0.4× 131 1.3k
Ye Tian China 16 439 0.3× 242 0.3× 370 0.5× 44 0.1× 91 0.4× 92 759

Countries citing papers authored by Zhangmeng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Zhangmeng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhangmeng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhangmeng Liu. A scholar is included among the top collaborators of Zhangmeng 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 Zhangmeng Liu. Zhangmeng 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, Zhangmeng, et al.. (2025). Radar Signal Deinterleaving Based on Amplitude Variation Characteristics. IET Radar Sonar & Navigation. 19(1).
2.
Wang, Xingdong, et al.. (2024). Radar Emitter Recognition Based on Spiking Neural Networks. Remote Sensing. 16(14). 2680–2680. 4 indexed citations
3.
Liu, Zhangmeng, et al.. (2024). Automatic reconstruction of radar pulse repetition pattern based on model learning. Digital Signal Processing. 152. 104596–104596. 2 indexed citations
4.
Liu, Zhangmeng, et al.. (2023). Enhancing photocatalytic antibiotics mineralization and water oxidation via constructing interfacial electric field in plate-on-plate BiOCl/WO3 photocatalysts. Journal of Colloid and Interface Science. 642. 264–272. 22 indexed citations
5.
6.
Liu, Zhangmeng, et al.. (2022). Reconstruction of Radar Pulse Repetition Pattern via Semantic Coding of Intercepted Pulse Trains. IEEE Transactions on Aerospace and Electronic Systems. 59(1). 394–403. 14 indexed citations
7.
Xu, Tao, et al.. (2022). Extraction and Sequential Recognition of MFR Pulse Groups in Intercepted Pulse Trains. IEEE Access. 10. 106988–106998. 6 indexed citations
8.
Liu, Zhangmeng, et al.. (2021). Semantic Coding and Model Reconstruction of Multifunction Radar Pulse Train. SHILAP Revista de lepidopterología. 2 indexed citations
9.
Liu, Zhangmeng, et al.. (2021). Automatic pulse repetition pattern reconstruction of conventional radars. IET Radar Sonar & Navigation. 15(5). 500–509. 10 indexed citations
10.
Liu, Zhangmeng. (2020). Recognition of Multifunction Radars Via Hierarchically Mining and Exploiting Pulse Group Patterns. IEEE Transactions on Aerospace and Electronic Systems. 56(6). 4659–4672. 37 indexed citations
11.
Liu, Zhangmeng, et al.. (2020). Joint TDOA and FDOA Estimation for Interleaved Pulse Trains From Multiple Pulse Radiation Sources. IEEE Transactions on Aerospace and Electronic Systems. 56(5). 4099–4111. 9 indexed citations
12.
Li, Xueqiong, Zhangmeng Liu, & Zhitao Huang. (2020). Denoising of Radar Pulse Streams With Autoencoders. IEEE Communications Letters. 24(4). 797–801. 19 indexed citations
13.
Li, Xueqiong, et al.. (2020). Radar Emitter Classification With Attention-Based Multi-RNNs. IEEE Communications Letters. 24(9). 2000–2004. 52 indexed citations
14.
Huang, Zhitao, et al.. (2019). Toward Wide-Frequency-Range Direction Finding With Support Vector Regression. IEEE Communications Letters. 23(6). 1029–1032. 11 indexed citations
15.
Liu, Zhangmeng, et al.. (2019). Direct Position Determination in Asynchronous Sensor Networks. IEEE Transactions on Vehicular Technology. 68(9). 8790–8803. 32 indexed citations
16.
Liu, Zhangmeng. (2019). Online Pulse Deinterleaving With Finite Automata. IEEE Transactions on Aerospace and Electronic Systems. 56(2). 1139–1147. 37 indexed citations
17.
Liu, Zhangmeng, et al.. (2019). Direct Position Determination for Wideband Sources Using Fast Approximation. IEEE Transactions on Vehicular Technology. 68(8). 8216–8221. 20 indexed citations
18.
Liu, Zhangmeng & Philip S. Yu. (2018). Classification, Denoising, and Deinterleaving of Pulse Streams With Recurrent Neural Networks. IEEE Transactions on Aerospace and Electronic Systems. 55(4). 1624–1639. 123 indexed citations
19.
Liu, Zhangmeng, Chenwei Zhang, & Philip S. Yu. (2018). Direction-of-Arrival Estimation Based on Deep Neural Networks With Robustness to Array Imperfections. IEEE Transactions on Antennas and Propagation. 66(12). 7315–7327. 377 indexed citations breakdown →
20.
Liu, Zhangmeng, et al.. (2014). Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian Learning. International Journal of Antennas and Propagation. 2014. 1–8. 8 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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