Yuekai Liu

805 total citations · 2 hit papers
16 papers, 550 citations indexed

About

Yuekai Liu is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, Yuekai Liu has authored 16 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 6 papers in Electrical and Electronic Engineering and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in Yuekai Liu's work include Advanced machining processes and optimization (5 papers), Industrial Vision Systems and Defect Detection (5 papers) and Advanced Machining and Optimization Techniques (3 papers). Yuekai Liu is often cited by papers focused on Advanced machining processes and optimization (5 papers), Industrial Vision Systems and Defect Detection (5 papers) and Advanced Machining and Optimization Techniques (3 papers). Yuekai Liu collaborates with scholars based in China, Germany and Macao. Yuekai Liu's co-authors include Liang Guo, Hongli Gao, Zhichao You, Fulei Chu, Tianyang Wang, Shilin Sun, Qi Li, Wenxin Wu, Zhiqiang Chen and Bin Zhang and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, Construction and Building Materials and Expert Systems with Applications.

In The Last Decade

Yuekai Liu

15 papers receiving 530 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.

YOLO-SLAM: A semantic SLAM system towards dynamic environment with geometric constraint

2022 141 citations Wenxin Wu, Liang Guo et al. Neural Computing and Applications profile →
Short-term multi-step wind power forecasting based on spatio-temporal correlations and transformer neural networks

2023 128 citations Shilin Sun, Yuekai Liu et al. Energy Conversion and Management profile →

Peers

Countries citing papers authored by Yuekai Liu

Since Specialization

Citations

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

Fields of papers citing papers by Yuekai Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuekai Liu

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

#	Work	Indexed citations
1	Deterioration patterns and damage models of bond–slip performance at the CFRP–concrete interface under wind–sand erosion conditions 2025 ·Construction and Building Materials ·(unknown), Wenliang Li, Benli Liu, (unknown), Haitao Zhao, Yuekai Liu	0
2	Exploring the abrasion resistance and mechanisms of aeolian sand concrete subjected to wind-driven gravel in Gobi high-energy area 2025 ·Construction and Building Materials ·Qing Yang Steve Wu, Kai Zhang, (unknown), (unknown), Yuekai Liu, Guangyu Yan, (unknown)	1
3	Deep expert network: A unified method toward knowledge-informed fault diagnosis via fully interpretable neuro-symbolic AI 2024 ·Journal of Manufacturing Systems ·Qi Li, Yuekai Liu, (unknown), Zhaoye Qin, Fulei Chu	15
4	Physics-Informed Scaling Evolutionary Transformer for In-Situ Tool Condition Monitoring 2023 ·IEEE/ASME Transactions on Mechatronics ·Yuekai Liu, Tianyang Wang, Shilin Sun, Qi Li, Fulei Chu	4
5	Short-term multi-step wind power forecasting based on spatio-temporal correlations and transformer neural networks breakdown → 2023 ·Energy Conversion and Management ·Shilin Sun, Yuekai Liu, Qi Li, Tianyang Wang, Fulei Chu	128
6	Hybrid machine condition monitoring based on interpretable dual tree methods using Wasserstein metrics 2023 ·Expert Systems with Applications ·Yuekai Liu, Tianyang Wang, Fulei Chu	14
7	Matching contrastive learning: An effective and intelligent method for wind turbine fault diagnosis with imbalanced SCADA data 2023 ·Expert Systems with Applications ·Shilin Sun, (unknown), Yuekai Liu, Tianyang Wang, Fulei Chu	38
8	Knowledge Embedded Lightweight Vision Transformer for Machine Condition Monitoring 2023 ·Measurement ·Yuekai Liu, Tianyang Wang, Fulei Chu	3
9	Wideband Continuous-Time MASH Delta-Sigma Modulators: A Tutorial Review 2022 ·IEEE Transactions on Circuits & Systems II Express Briefs ·Liang Qi, Yuekai Liu, Sai‐Weng Sin, Xinpeng Xing, Guoxing Wang, Maurits Ortmanns, Rui P. Martins	13
10	YOLO-SLAM: A semantic SLAM system towards dynamic environment with geometric constraint breakdown → 2022 ·Neural Computing and Applications ·Wenxin Wu, Liang Guo, Hongli Gao, Zhichao You, Yuekai Liu, Zhiqiang Chen	141
11	Automatically Designing Network-Based Deep Transfer Learning Architectures Based on Genetic Algorithm for In-Situ Tool Condition Monitoring 2021 ·IEEE Transactions on Industrial Electronics ·Yuekai Liu, Yaoxiang Yu, Liang Guo, Hongli Gao, (unknown)	19
12	Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review 2021 ·Mechanical Systems and Signal Processing ·Yuekai Liu, Liang Guo, Hongli Gao, Zhichao You, Yunguang Ye, Bin Zhang	123
13	Study on the deformation mechanism of abutment slope and its influence on the dam during the impoundment of high arch dam 2020 ·IOP Conference Series Earth and Environmental Science ·(unknown), (unknown), Yuekai Liu, Xue Li, Li Cheng, Qiang Yang	1
14	A Data-Flow Oriented Deep Ensemble Learning Method for Real-Time Surface Defect Inspection 2020 ·IEEE Transactions on Instrumentation and Measurement ·Yuekai Liu, Hongli Gao, Liang Guo, (unknown), (unknown), Zhichao You	32
15	Dynamic Prediction of Rock Mass Classification in the Tunnel Construction Process based on Random Forest Algorithm and TBM in situ Operation Parameters 2020 ·IOP Conference Series Earth and Environmental Science ·Shaokang Hou, Yuekai Liu, (unknown), (unknown)	17
16	Obstacle Detection for Power Transmission Line Based on Deep Learning 2019 ·Yun Wang, Hongli Gao, Yuekai Liu, Liang Guo, Caijiang Lu, Lei Li, (unknown), (unknown)	1

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.

Explore authors with similar magnitude of impact