Min Liao

96 total papers · 857 total citations
50 papers, 544 citations indexed

About

Min Liao is a scholar working on Mechanics of Materials, Mechanical Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Min Liao has authored 50 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Mechanics of Materials, 21 papers in Mechanical Engineering and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in Min Liao's work include Fatigue and fracture mechanics (17 papers), Non-Destructive Testing Techniques (8 papers) and Probabilistic and Robust Engineering Design (8 papers). Min Liao is often cited by papers focused on Fatigue and fracture mechanics (17 papers), Non-Destructive Testing Techniques (8 papers) and Probabilistic and Robust Engineering Design (8 papers). Min Liao collaborates with scholars based in China, Canada and Germany. Min Liao's co-authors include Meimei Zhao, Tingting Liu, Ke‐Wu Zeng, Zhuo Yang, Yichi Zhang, Yao Lu, Pengfei Tu, Zheng Liu, Teng Wang and G. Renaud and has published in prestigious journals such as ACS Nano, International Journal of Molecular Sciences and British Journal of Pharmacology.

In The Last Decade

Min Liao

45 papers receiving 523 citations

Hit Papers

Carbon Quantum Dots-Based... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Min Liao 179 142 142 115 74 50 544
Ran Ma 163 0.9× 266 1.9× 156 1.1× 81 0.7× 31 0.4× 36 524
Xingchen Liu 116 0.6× 83 0.6× 106 0.7× 32 0.3× 27 0.4× 30 551
Massimiliano Palmieri 35 0.2× 246 1.7× 177 1.2× 74 0.6× 81 1.1× 40 544
Gyeongho Kim 105 0.6× 27 0.2× 140 1.0× 102 0.9× 23 0.3× 44 595
Zhengmao Yang 130 0.7× 234 1.6× 228 1.6× 44 0.4× 29 0.4× 49 508
Manfred Zehn 53 0.3× 153 1.1× 182 1.3× 110 1.0× 20 0.3× 44 535
Ting Jiang 84 0.5× 100 0.7× 193 1.4× 97 0.8× 5 0.1× 53 549
Ning Guo 49 0.3× 115 0.8× 103 0.7× 62 0.5× 34 0.5× 53 449
Hao Lü 126 0.7× 240 1.7× 303 2.1× 42 0.4× 121 1.6× 54 565
Tao Wu 78 0.4× 255 1.8× 202 1.4× 146 1.3× 13 0.2× 49 597

Countries citing papers authored by Min Liao

Since Specialization
Citations

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

Fields of papers citing papers by Min Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Min Liao. A scholar is included among the top collaborators of Min Liao 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 Min Liao. Min Liao 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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