Kaixuan Liang

1.6k total citations · 1 hit paper
30 papers, 1.3k citations indexed

About

Kaixuan Liang is a scholar working on Control and Systems Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Kaixuan Liang has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Control and Systems Engineering, 18 papers in Mechanical Engineering and 12 papers in Civil and Structural Engineering. Recurrent topics in Kaixuan Liang's work include Machine Fault Diagnosis Techniques (21 papers), Gear and Bearing Dynamics Analysis (14 papers) and Structural Health Monitoring Techniques (9 papers). Kaixuan Liang is often cited by papers focused on Machine Fault Diagnosis Techniques (21 papers), Gear and Bearing Dynamics Analysis (14 papers) and Structural Health Monitoring Techniques (9 papers). Kaixuan Liang collaborates with scholars based in China. Kaixuan Liang's co-authors include Jing Lin, Ming Zhao, Jinyang Jiao, Chuancang Ding, Yonghao Miao, Zhiqiang Zhang, Dongwei Wang, Chang Yan, Min Zhang and Baoxiang Wang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Renewable Energy and Frontiers in Microbiology.

In The Last Decade

Kaixuan Liang

27 papers receiving 1.2k citations

Hit Papers

align trajectories

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.

A comprehensive review on convolutional neural network in machine fault diagnosis

2020 417 citations Jinyang Jiao, Ming Zhao et al. Neurocomputing profile →

Peers

Countries citing papers authored by Kaixuan Liang

Since Specialization

Citations

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

Fields of papers citing papers by Kaixuan Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaixuan Liang

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Torsion design and analysis of space frame based on deformation matching 2025 ·International Journal of Solids and Structures ·Kaixuan Liang, (unknown), (unknown), (unknown)	0
2	Spatial variations in the microbiota: comparative analysis of microbial composition and predicted functions across different intestinal segments and feces in donkeys 2025 ·Frontiers in Microbiology ·(unknown), (unknown), Kaixuan Liang, (unknown), Qiyue Zhang, Wenqiang Li, (unknown), (unknown), Haihua Zhang, Qiugang Ma, Ru Jia, (unknown)	5
3	The performance analysis of shear walls with opening based on quantitative identification method of vibration modes 2025 ·Alexandria Engineering Journal ·(unknown), (unknown), Kaixuan Liang, Dongwei Wang	10
4	Quantitative analysis of deformation performance for skew slab based on deformation energy decomposition method of triangular prism element 2024 ·Structures ·Kaixuan Liang, (unknown), Dongwei Wang	20
5	A complete orthogonal decomposition method for the comprehensive deformation energy of discrete elastomers 2024 ·Acta Mechanica Sinica ·Kaixuan Liang, (unknown), Dongwei Wang, (unknown)	0
6	Comparative analysis of mechanical properties for wood frame and reinforced concrete frame based on deformation energy decomposition method 2023 ·BioResources ·(unknown), Kaixuan Liang, Shuxiao Wang	1
7	Identification of Relatively Weak Areas of Planar Structures Based on Modal Strain Energy Decomposition Method 2022 ·Materials ·Dongwei Wang, Kaixuan Liang, (unknown)	1
8	Cycle-consistent Adversarial Adaptation Network and its application to machine fault diagnosis 2021 ·Neural Networks ·Jinyang Jiao, Jing Lin, Ming Zhao, Kaixuan Liang, Chuancang Ding	33
9	Toothwise Health Monitoring of Planetary Gearbox Under Time-Varying Speed Condition Based on Rotating Encoder Signal 2021 ·IEEE Transactions on Industrial Electronics ·Kaixuan Liang, Ming Zhao, Jing Lin, Jinyang Jiao, Chuancang Ding	18
10	Tacholess skidding evaluation and fault feature enhancement base on a two-step speed estimation method for rolling bearings 2021 ·Mechanical Systems and Signal Processing ·Chang Yan, Jing Lin, Kaixuan Liang, Zhipeng Ma, Zhiqiang Zhang	14
11	A comprehensive review on convolutional neural network in machine fault diagnosis breakdown → 2020 ·Neurocomputing ·Jinyang Jiao, Ming Zhao, Jing Lin, Kaixuan Liang	417
12	Maximum average kurtosis deconvolution and its application for the impulsive fault feature enhancement of rotating machinery 2020 ·Mechanical Systems and Signal Processing ·Kaixuan Liang, Ming Zhao, Jing Lin, Jinyang Jiao, Chuancang Ding	70
13	Fault signature enhancement and skidding evaluation of rolling bearing based on estimating the phase of the impulse envelope signal 2020 ·Journal of Sound and Vibration ·Chang Yan, Ming Zhao, Jing Lin, Kaixuan Liang, Zhiqiang Zhang	22
14	Double-level adversarial domain adaptation network for intelligent fault diagnosis 2020 ·Knowledge-Based Systems ·Jinyang Jiao, Jing Lin, Ming Zhao, Kaixuan Liang	111
15	A Novel Cyclostationarity-based Blind Demodulation Method for the Diagnosis of Bearing 2020 ·Kaixuan Liang, Chuancang Ding, Jinyang Jiao, Yonghao Miao, Ming Zhao, Jing Lin	0
16	A Novel Indicator to Improve Fast Kurtogram for the Health Monitoring of Rolling Bearing 2020 ·IEEE Sensors Journal ·Kaixuan Liang, Ming Zhao, Jing Lin, Chuancang Ding, Jinyang Jiao, Zhiqiang Zhang	48
17	An encoder information-based anomaly detection method for planetary gearbox diagnosis 2019 ·Measurement Science and Technology ·Kaixuan Liang, Ming Zhao, Jing Lin, Jinyang Jiao, Chuancang Ding	12
18	An information-based K-singular-value decomposition method for rolling element bearing diagnosis 2019 ·ISA Transactions ·Kaixuan Liang, Ming Zhao, Jing Lin, Jinyang Jiao	25
19	Application of an improved MCKDA for fault detection of wind turbine gear based on encoder signal 2019 ·Renewable Energy ·Yonghao Miao, Ming Zhao, Kaixuan Liang, Jing Lin	71
20	Sparsity-Based Algorithm for Condition Assessment of Rotating Machinery Using Internal Encoder Data 2019 ·IEEE Transactions on Industrial Electronics ·Chuancang Ding, Ming Zhao, Jing Lin, Jinyang Jiao, Kaixuan Liang	31

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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