Yuekai Liu

20 total papers · 784 total citations
15 papers, 527 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 15 papers receiving a total of 527 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 Industrial Vision Systems and Defect Detection (5 papers), Advanced machining processes and optimization (5 papers) and Advanced Machining and Optimization Techniques (3 papers). Yuekai Liu is often cited by papers focused on Industrial Vision Systems and Defect Detection (5 papers), Advanced machining processes and optimization (5 papers) and Advanced Machining and Optimization Techniques (3 papers). Yuekai Liu collaborates with scholars based in China, Germany and United States. 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 Yunguang Ye 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 509 citations

Hit Papers

YOLO-SLAM: A semantic SLA... 2022 2026 2023 2024 2022 2023 40 80 120

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yuekai Liu 178 152 152 146 96 15 527
Anupam Keshari 69 0.4× 160 1.1× 117 0.8× 151 1.0× 70 0.7× 14 449
Arcangelo Distante 77 0.4× 227 1.5× 117 0.8× 100 0.7× 52 0.5× 42 473
Kai Wang 131 0.7× 172 1.1× 48 0.3× 148 1.0× 74 0.8× 32 563
Chun-Chi Lai 111 0.6× 155 1.0× 60 0.4× 117 0.8× 109 1.1× 32 481
Fei Fan 50 0.3× 84 0.6× 175 1.2× 147 1.0× 55 0.6× 27 455
Isaac Segovia Ramírez 115 0.6× 57 0.4× 111 0.7× 64 0.4× 101 1.1× 36 524
Van Nhan Nguyen 72 0.4× 241 1.6× 195 1.3× 130 0.9× 51 0.5× 7 563
Wei Li 135 0.8× 185 1.2× 31 0.2× 98 0.7× 85 0.9× 30 558
Luofeng Xie 53 0.3× 92 0.6× 228 1.5× 38 0.3× 49 0.5× 32 477
Hao Dong 80 0.4× 157 1.0× 103 0.7× 24 0.2× 84 0.9× 23 608

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

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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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