Shikai Jing

84 total papers · 502 total citations
49 papers, 362 citations indexed

About

Shikai Jing is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Shikai Jing has authored 49 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Industrial and Manufacturing Engineering, 15 papers in Mechanical Engineering and 13 papers in Civil and Structural Engineering. Recurrent topics in Shikai Jing's work include Manufacturing Process and Optimization (15 papers), Topology Optimization in Engineering (13 papers) and Additive Manufacturing and 3D Printing Technologies (12 papers). Shikai Jing is often cited by papers focused on Manufacturing Process and Optimization (15 papers), Topology Optimization in Engineering (13 papers) and Additive Manufacturing and 3D Printing Technologies (12 papers). Shikai Jing collaborates with scholars based in China and United States. Shikai Jing's co-authors include Rujie He, Jihong Liu, Jingtao Zhou, Xuejian Bai, Lu Zhang, Wenqing Wang, Zhaoliang Qu, Qiaoyu Meng, Xueqin Zhang and Keqiang Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Polymer and Composite Structures.

In The Last Decade

Shikai Jing

44 papers receiving 352 citations

Author Peers

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

Author Last Decade Papers Cites
Shikai Jing 160 129 65 61 59 49 362
Tao Li 159 1.0× 109 0.8× 20 0.3× 55 0.9× 43 0.7× 29 399
Yu Zhang 69 0.4× 88 0.7× 32 0.5× 11 0.2× 47 0.8× 31 320
Alessia Teresa Silvestri 204 1.3× 264 2.0× 10 0.2× 53 0.9× 48 0.8× 41 393
Chao Chen 48 0.3× 99 0.8× 79 1.2× 9 0.1× 32 0.5× 25 302
B. Latha Shankar 28 0.2× 93 0.7× 24 0.4× 85 1.4× 34 0.6× 20 320
B. B. Kotturshettar 47 0.3× 89 0.7× 11 0.2× 31 0.5× 26 0.4× 50 334
A. Johnson Santhosh 48 0.3× 143 1.1× 7 0.1× 43 0.7× 17 0.3× 49 295
Sanjeev Kumar 130 0.8× 125 1.0× 8 0.1× 46 0.8× 32 0.5× 31 403
Vanya Arun 54 0.3× 89 0.7× 16 0.2× 23 0.4× 14 0.2× 28 371
N.M. Sivaram 48 0.3× 121 0.9× 14 0.2× 23 0.4× 14 0.2× 41 393

Countries citing papers authored by Shikai Jing

Since Specialization
Citations

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

Fields of papers citing papers by Shikai Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikai Jing

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