Yujing Liu

212 total papers · 13.8k total citations
173 papers, 11.4k citations indexed

About

Yujing Liu is a scholar working on Materials Chemistry, Mechanical Engineering and Biomedical Engineering. According to data from OpenAlex, Yujing Liu has authored 173 papers receiving a total of 11.4k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Materials Chemistry, 90 papers in Mechanical Engineering and 24 papers in Biomedical Engineering. Recurrent topics in Yujing Liu's work include Titanium Alloys Microstructure and Properties (49 papers), Additive Manufacturing Materials and Processes (43 papers) and High Entropy Alloys Studies (24 papers). Yujing Liu is often cited by papers focused on Titanium Alloys Microstructure and Properties (49 papers), Additive Manufacturing Materials and Processes (43 papers) and High Entropy Alloys Studies (24 papers). Yujing Liu collaborates with scholars based in China, Australia and United States. Yujing Liu's co-authors include Lai‐Chang Zhang, T.B. Sercombe, Yulin Hao, Shun‐Xing Liang, Richard L. Proia, Yue Jiang, Jincheng Wang, Liang‐Yu Chen, Guoxin Sui and Yide Mi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Yujing Liu

159 papers receiving 11.2k citations

Hit Papers

Edg-1, the G protein–coup... 2000 2026 2008 2017 2000 2015 2016 2021 2017 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Yujing Liu 5.7k 4.8k 2.2k 1.8k 1.6k 173 11.4k
Brian Derby 3.3k 0.6× 4.0k 0.8× 3.7k 1.7× 704 0.4× 7.8k 4.9× 298 16.0k
Abdolreza Simchi 6.2k 1.1× 5.3k 1.1× 1.6k 0.7× 696 0.4× 3.9k 2.4× 330 14.7k
Xiaohua Liu 1.2k 0.2× 2.0k 0.4× 1.1k 0.5× 932 0.5× 5.8k 3.6× 198 12.4k
Diego Mantovani 2.6k 0.4× 4.5k 0.9× 440 0.2× 1.1k 0.6× 4.6k 2.9× 344 13.0k
Shuping Peng 1.8k 0.3× 2.2k 0.5× 1.5k 0.7× 2.3k 1.3× 6.4k 4.0× 257 11.6k
Jie Huang 1000 0.2× 2.5k 0.5× 642 0.3× 1.0k 0.6× 4.5k 2.8× 397 9.4k
Salvador Pané 4.3k 0.8× 2.8k 0.6× 298 0.1× 661 0.4× 7.5k 4.7× 295 13.0k
Kaushik Chatterjee 1.5k 0.3× 2.2k 0.5× 868 0.4× 740 0.4× 3.9k 2.4× 235 7.5k
Kan Yue 429 0.1× 2.7k 0.6× 1.6k 0.7× 1.0k 0.6× 6.0k 3.7× 112 11.7k
Atsushi Ueda 1.9k 0.3× 3.5k 0.7× 2.2k 1.0× 917 0.5× 414 0.3× 207 11.5k

Countries citing papers authored by Yujing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yujing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujing Liu

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