Prof Dr. Guohui Li, chaotic signal processing, Best Researcher Award

Education:

Bachelor’s Degree in Electronic Information Engineering, Chongqing University of Technology, Chongqing, China (2001).

Master’s Degree in Circuit and System, University of Electronic Science and Technology of China, Chengdu, China (2004).

Doctoral Degree in Acoustics, Northwestern Polytechnical University, Xi’an, China (2015).

Research Focus:

Dr. Li’s primary research interests encompass:

Underwater Acoustic Signal Processing

Chaotic Signal Processing

Professional Journey:

He currently serves as a professor at the School of Electronic Engineering, Xi’an University of Posts and Telecommunications. Dr. Li’s professional journey includes contributions to electronic engineering and substantial expertise in acoustics.

Publications Top Noted & Contributions:

Dr. Li has likely made significant contributions to the academic and research community, particularly in the areas of underwater acoustic signal processing and chaotic signal processing. Unfortunately, specific publications and contributions are not provided in the available information.

Title: A New Underwater Acoustic Signal Denoising Method Based on Modified Uniform Phase Empirical Mode Decomposition, Hierarchical Amplitude-Aware Permutation Entropy, and Optimized Improved Wavelet Threshold Denoising
Journal: Ocean Engineering, 2024, 293, 116629
Authors: Li, G., Han, Y., Yang, H.
Abstract: This article presents a novel denoising method for underwater acoustic signals. It combines modified uniform phase empirical mode decomposition, hierarchical amplitude-aware permutation entropy, and optimized improved wavelet threshold denoising.

Title: Detection Method of Ship-Radiated Noise Based on Fractional-Order Dual Coupling Oscillator
Journal: Nonlinear Dynamics, 2024, 112(3), pp. 2091–2118
Authors: Li, G., Xie, R., Yang, H.
Abstract: This publication introduces a ship-radiated noise detection method utilizing fractional-order dual coupling oscillators. The approach is presented in the context of nonlinear dynamics.

Title: A New Denoising Method Based on Decomposition Mixing of Hydro-Acoustic Signal
Journal: Ocean Engineering, 2024, 292, 116311
Authors: Li, G., Yan, H., Yang, H.
Abstract: Describing a new denoising method for hydro-acoustic signals, this article proposes a technique based on the decomposition mixing approach.

Title: A Multi-Factor Forecasting Model for Carbon Emissions Based on Decomposition and Swarm Intelligence Optimization
Journal: Measurement: Journal of the International Measurement Confederation, 2023, 222, 113554
Authors: Yang, H., Wang, M., Li, G.
Abstract: This research introduces a multi-factor forecasting model for carbon emissions that integrates decomposition techniques and swarm intelligence optimization.

Title: A Hybrid Forecasting Model of Carbon Emissions with Optimized VMD and Error Correction
Journal: Alexandria Engineering Journal, 2023, 81, pp. 210–233
Authors: Li, G., Wu, H., Yang, H.
Abstract: This article presents a hybrid forecasting model for carbon emissions, incorporating optimized variational mode decomposition (VMD) and error correction techniques.

Author Metrics:

• Citations: 836
• Documents: 74
• h-index: 17

Metrics Overview:

• Citations: Dr. Li has received a total of 836 citations across 74 documents, indicating the impact and visibility of his research in the academic community.
• h-index: The h-index, calculated at 17, suggests that there are 17 documents by Dr. Li that have each been cited at least 17 times. This metric reflects both the productivity and impact of an author’s work.

Research Metrics:

• Dr. Guohui Li’s research spans a variety of topics, including underwater acoustic signal processing, ship-radiated noise detection, hydro-acoustic signal denoising, and forecasting models for carbon emissions.

Research Timeline:

Bachelor’s Degree (2001)

Master’s Degree (2004)

Doctoral Degree (2015)

Current: Professor at Xi’an University of Posts and Telecommunications