Wei Liao

32 total papers · 903 total citations
20 papers, 711 citations indexed

About

Wei Liao is a scholar working on Mechanical Engineering, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Wei Liao has authored 20 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Mechanical Engineering, 10 papers in Biomedical Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Wei Liao's work include Advanced Materials and Mechanics (7 papers), Advanced Sensor and Energy Harvesting Materials (6 papers) and Nanowire Synthesis and Applications (3 papers). Wei Liao is often cited by papers focused on Advanced Materials and Mechanics (7 papers), Advanced Sensor and Energy Harvesting Materials (6 papers) and Nanowire Synthesis and Applications (3 papers). Wei Liao collaborates with scholars based in China, United States and Canada. Wei Liao's co-authors include Zhongqiang Yang, Jiahao Sun, Yunpeng Wang, Yunpeng Wang, Rajib Nandi, Zhonghui Zhang, Xiuxiu Yang, Claire Xi Zhang, Haiyu Li and Xiaofang Zhao and has published in prestigious journals such as Advanced Materials, Chemical Communications and The Journal of Physical Chemistry C.

In The Last Decade

Wei Liao

19 papers receiving 704 citations

Author Peers

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

Author						Papers	Cites
Wei Liao	480	435	169	107	82	20	711
Yuchong Gao	512 1.1×	471 1.1×	184 1.1×	52 0.5×	156 1.9×	16	850
Xiaoxing Xia	297 0.6×	278 0.6×	111 0.7×	188 1.8×	69 0.8×	17	874
Alexa S. Kuenstler	453 0.9×	340 0.8×	151 0.9×	43 0.4×	139 1.7×	21	776
Hongying Luo	312 0.7×	384 0.9×	69 0.4×	115 1.1×	84 1.0×	19	660
Jisoo Jeon	418 0.9×	469 1.1×	109 0.6×	73 0.7×	142 1.7×	36	757
Jun Wu	574 1.2×	411 0.9×	55 0.3×	29 0.3×	107 1.3×	23	791
Congran Jin	261 0.5×	645 1.5×	118 0.7×	209 2.0×	178 2.2×	27	845
Haibo Li	296 0.6×	476 1.1×	43 0.3×	126 1.2×	107 1.3×	13	668
Xiaoyue Ni	322 0.7×	368 0.8×	43 0.3×	55 0.5×	94 1.1×	23	721
Xinchen Ni	314 0.7×	281 0.6×	110 0.7×	121 1.1×	136 1.7×	24	758

Countries citing papers authored by Wei Liao

Since Specialization

Citations

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

Fields of papers citing papers by Wei Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Liao

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