Laizhao Hu

414 total citations
28 papers, 208 citations indexed

About

Laizhao Hu is a scholar working on Artificial Intelligence, Signal Processing and Aerospace Engineering. According to data from OpenAlex, Laizhao Hu has authored 28 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 6 papers in Signal Processing and 5 papers in Aerospace Engineering. Recurrent topics in Laizhao Hu's work include Wireless Signal Modulation Classification (18 papers), Blind Source Separation Techniques (6 papers) and Neural Networks and Applications (5 papers). Laizhao Hu is often cited by papers focused on Wireless Signal Modulation Classification (18 papers), Blind Source Separation Techniques (6 papers) and Neural Networks and Applications (5 papers). Laizhao Hu collaborates with scholars based in China and United States. Laizhao Hu's co-authors include Gexiang Zhang, Weidong Jin, Ming Zhu, Daniel J. Costello, Ming Zhu and Haina Rong and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Communications and Kongzhi yu juece.

In The Last Decade

Laizhao Hu

28 papers receiving 189 citations

Peers

Laizhao Hu
Héctor Palacios Spain
Richard Washington United States
Janusz Kusyk United States
Nathan Krislock Canada
Abolfazl Hashemi United States
Mark A. Peot United States
Telikepalli Kavitha India
Peizhong Lu China
Khawla A. Alnajjar United Arab Emirates
George F. Elmasry United States
Héctor Palacios Spain
Laizhao Hu
Citations per year, relative to Laizhao Hu Laizhao Hu (= 1×) peers Héctor Palacios

Countries citing papers authored by Laizhao Hu

Since Specialization
Citations

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

Fields of papers citing papers by Laizhao Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laizhao Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Laizhao Hu. A scholar is included among the top collaborators of Laizhao Hu 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 Laizhao Hu. Laizhao Hu 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.
Hu, Laizhao. (2009). Classification of radar emitter signals using the characteristics derived from instantaneous frequencies. Ha'erbin gongye daxue xuebao. 2 indexed citations
2.
Hu, Laizhao, et al.. (2008). A DOA-Based Separability Test and Confidence Evaluation Approach for Deinterleaving Pulse Sequence. 27. 954–957. 1 indexed citations
3.
Hu, Laizhao, et al.. (2008). Radar emitter signal recognition based on atomic decomposition. 23. 633–636. 1 indexed citations
4.
Hu, Laizhao. (2007). Feature extraction of radar emitter signals based on timefrequency atoms. Chinese Journal of Radio Science. 2 indexed citations
5.
Hu, Laizhao. (2007). Kernelized Xie-Beni index and its performance. Kongzhi yu juece. 1 indexed citations
6.
Hu, Laizhao, et al.. (2007). Cascade Feature Extraction for Radar Emitter Signals Based on Atomic Decomposition. 2 indexed citations
7.
Zhu, Ming, et al.. (2007). A Novel Feature Extraction Approach for Radar Emitter Signals. 1785–1789. 5 indexed citations
8.
Hu, Laizhao. (2007). Automatic Classification of Radar Emitter Signals Based on Cascade Feature Extractions. 2 indexed citations
9.
10.
Zhang, Gexiang, Weidong Jin, & Laizhao Hu. (2005). Application of wavelet packet transform to signal recognition. 1. 542–547. 4 indexed citations
11.
Zhang, Gexiang, Weidong Jin, & Laizhao Hu. (2005). Radar emitter signal recognition based on support vector machines. 2. 826–831. 15 indexed citations
12.
Zhang, Gexiang, Laizhao Hu, & Weidong Jin. (2005). A novel approach for radar emitter signal recognition. 2. 817–820. 4 indexed citations
13.
Zhang, Gexiang, et al.. (2004). A novel genetic algorithm and its application to digital filter design. 2. 1600–1605. 16 indexed citations
14.
Zhang, Gexiang, Laizhao Hu, & Weidong Jin. (2003). Complexity feature extraction of radar emitter signals. 495–498. 13 indexed citations
15.
Zhang, Gexiang, Weidong Jin, & Laizhao Hu. (2003). Fractal feature extraction of radar emitter signals. 161–164. 3 indexed citations
16.
Zhang, Gexiang, Weidong Jin, & Laizhao Hu. (2003). Quantum evolutionary algorithm for multi-objective optimization problems. 703–708. 18 indexed citations
17.
Hu, Laizhao. (2002). An engineering method of single channel for dual amplitude and phase comparison. 476–479. 1 indexed citations
18.
Hu, Laizhao, et al.. (2002). A new transform method for pulse train parameter estimation. 2. 1562–1565. 3 indexed citations
19.
Costello, Daniel J., et al.. (1988). Capacity and cutoff rate calculations for a concatenated coding system. IEEE Transactions on Information Theory. 34(2). 212–222. 12 indexed citations
20.
Hu, Laizhao. (1985). The Performance of Concatenated Coding Systems. PhDT. 1 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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