Xiaoyuan Ji

81 total papers · 890 total citations
64 papers, 651 citations indexed

About

Xiaoyuan Ji is a scholar working on Mechanical Engineering, Materials Chemistry and Aerospace Engineering. According to data from OpenAlex, Xiaoyuan Ji has authored 64 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Mechanical Engineering, 23 papers in Materials Chemistry and 18 papers in Aerospace Engineering. Recurrent topics in Xiaoyuan Ji's work include Aluminum Alloy Microstructure Properties (17 papers), Aluminum Alloys Composites Properties (11 papers) and Additive Manufacturing Materials and Processes (9 papers). Xiaoyuan Ji is often cited by papers focused on Aluminum Alloy Microstructure Properties (17 papers), Aluminum Alloys Composites Properties (11 papers) and Additive Manufacturing Materials and Processes (9 papers). Xiaoyuan Ji collaborates with scholars based in China, Egypt and United Kingdom. Xiaoyuan Ji's co-authors include Jianxin Zhou, Yajun Yin, Xu Shen, Taher A. Shehabeldeen, Yajun Yin, Xu Shen, Ye Hu, Bo Wu, Zhipeng Zhang and Ammar H. Elsheikh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Science and Engineering A and IEEE Access.

In The Last Decade

Xiaoyuan Ji

58 papers receiving 627 citations

Author Peers

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

Author Last Decade Papers Cites
Xiaoyuan Ji 357 140 108 98 93 64 651
Xu Shen 303 0.8× 108 0.8× 54 0.5× 113 1.2× 64 0.7× 39 641
Aditya Balu 258 0.7× 120 0.9× 109 1.0× 63 0.6× 41 0.4× 49 662
Vilas M. Nandedkar 300 0.8× 63 0.5× 57 0.5× 89 0.9× 39 0.4× 45 607
Phong Nguyen 146 0.4× 56 0.4× 61 0.6× 93 0.9× 48 0.5× 34 591
Weigang Li 366 1.0× 223 1.6× 46 0.4× 83 0.8× 32 0.3× 88 756
Yongjun Wang 271 0.8× 51 0.4× 26 0.2× 127 1.3× 100 1.1× 62 605
Jundong Zhang 120 0.3× 61 0.4× 33 0.3× 77 0.8× 41 0.4× 76 647
Surya R. Kalidindi 316 0.9× 415 3.0× 66 0.6× 27 0.3× 43 0.5× 40 754
Yi Ren 144 0.4× 109 0.8× 47 0.4× 74 0.8× 17 0.2× 44 633
Fang Bai 260 0.7× 208 1.5× 17 0.2× 54 0.6× 55 0.6× 67 764

Countries citing papers authored by Xiaoyuan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyuan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoyuan Ji

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