Jin Xu

108 total papers · 1.5k total citations
63 papers, 1.1k citations indexed

About

Jin Xu is a scholar working on Molecular Biology, Surgery and Civil and Structural Engineering. According to data from OpenAlex, Jin Xu has authored 63 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Surgery and 7 papers in Civil and Structural Engineering. Recurrent topics in Jin Xu's work include Multimodal Machine Learning Applications (5 papers), Structural Behavior of Reinforced Concrete (4 papers) and Gene Regulatory Network Analysis (4 papers). Jin Xu is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Structural Behavior of Reinforced Concrete (4 papers) and Gene Regulatory Network Analysis (4 papers). Jin Xu collaborates with scholars based in China, United States and South Korea. Jin Xu's co-authors include Albert Y. S. Lam, Victor O. K. Li, Pei-Ning Guo, Chung‐Kuan Cheng, Ying Zheng, Jun Xue, Ryan J. Nagao, Jonathan Himmelfarb, Fengying Zhang and Wuyi Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Bioinformatics.

In The Last Decade

Jin Xu

57 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Jin Xu 316 158 140 105 88 63 1.1k
Yinghui Huang 368 1.2× 77 0.5× 55 0.4× 118 1.1× 44 0.5× 57 1.1k
Junhang Zhang 217 0.7× 88 0.6× 150 1.1× 75 0.7× 40 0.5× 57 1.1k
Imran Ali Chaudhry 303 1.0× 44 0.3× 103 0.7× 57 0.5× 47 0.5× 63 1.5k
Zhao-Xu Yang 402 1.3× 193 1.2× 42 0.3× 60 0.6× 100 1.1× 82 1.3k
Xinyi Zhang 426 1.3× 69 0.4× 114 0.8× 191 1.8× 26 0.3× 108 1.4k
Jingyu Hu 251 0.8× 60 0.4× 99 0.7× 94 0.9× 101 1.1× 89 1.3k
Yishan Chen 348 1.1× 122 0.8× 297 2.1× 47 0.4× 49 0.6× 67 1.4k
Konstantin Miller 679 2.1× 240 1.5× 156 1.1× 59 0.6× 104 1.2× 56 1.5k
Jungwoon Lee 812 2.6× 121 0.8× 92 0.7× 107 1.0× 47 0.5× 49 1.3k
Mingxin Liu 221 0.7× 59 0.4× 37 0.3× 47 0.4× 52 0.6× 83 1.1k

Countries citing papers authored by Jin Xu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Xu

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