Kejia Yang

940 citations
11 papers · 809 indexed · h-index 9
Topics
Polymer Science and PVC (3 papers)Additive Manufacturing and 3D Printing Technologies (2 papers)Photopolymerization techniques and applications (2 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Kejia Yang

11 papers receiving 794 citations

Peers

Kejia Yang
Comparison fields: 5 of 76
  • Biomedical Engineering 467
  • Polymers and Plastics 322
  • Automotive Engineering 259
  • Electrical and Electronic Engineering 173
  • Mechanical Engineering 132
Replace Antonia Georgopoulou with:
Antonia Georgopoulou Switzerland
Quanyi Mu China
Giovanni Postiglione Italy
Siew Ting Melissa Tan United States
James O. Hardin United States
Erika Fantino Italy
Cesar Parra‐Cabrera Belgium
Ellen Roels Belgium
Matt Zarek Israel
Kejia Yang relative to Antonia Georgopoulou Switzerland Antonia Georgopoulou's profile →
Citations per field
00.5×10×15×20×24.8×
Antonia Georgopoulou · 1×
Citations per year

Countries citing papers authored by Kejia Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kejia Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejia Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Kejia Yang. A scholar is included among the top collaborators of Kejia Yang 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 Kejia Yang. Kejia Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 13
2 152
3 17
4 18
5 39
6 2
7 317
8 214
9 22
10 7
11 8

About Kejia Yang

Kejia Yang is a scholar working on Polymers and Plastics, Bioengineering and Automotive Engineering, having authored 11 papers that have together received 809 indexed citations. Recurring topics across this work include Polymer Science and PVC (3 papers), Additive Manufacturing and 3D Printing Technologies (2 papers) and Photopolymerization techniques and applications (2 papers). The work is most often cited by research in Polymers and Plastics (322 citations), Automotive Engineering (259 citations) and Biomedical Engineering (467 citations). Kejia Yang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Walter Voit, Matthew Di Prima, Benjamin Lund, Kunihiko Mabuchi, Tsuyoshi Sekitani, Masaki Sekino, Tomohiro Murakawa, Martin Kaltenbrunner, Tomoyuki Yokota and Jonathan T. Reeder. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Functional Materials and Molecular and Cellular Biology.

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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