Kang Yang

44 total papers · 494 total citations
24 papers, 359 citations indexed

About

Kang Yang is a scholar working on Civil and Structural Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Kang Yang has authored 24 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Civil and Structural Engineering, 7 papers in Mechanical Engineering and 3 papers in Mechanics of Materials. Recurrent topics in Kang Yang's work include Structural Health Monitoring Techniques (13 papers), Infrastructure Maintenance and Monitoring (10 papers) and Concrete Corrosion and Durability (6 papers). Kang Yang is often cited by papers focused on Structural Health Monitoring Techniques (13 papers), Infrastructure Maintenance and Monitoring (10 papers) and Concrete Corrosion and Durability (6 papers). Kang Yang collaborates with scholars based in China, Japan and United States. Kang Yang's co-authors include Youliang Ding, Huachen Jiang, Hanwei Zhao, Songtao Xue, Chunfeng Wan, Aiqun Li, Bin Ding, Juan Guan, Peng Sun and Fei Pan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Functional Materials and Mechanical Systems and Signal Processing.

In The Last Decade

Kang Yang

22 papers receiving 355 citations

Author Peers

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

Author Last Decade Papers Cites
Kang Yang 260 113 40 33 27 24 359
Vahid Yaghoubi 120 0.5× 77 0.7× 51 1.3× 60 1.8× 12 0.4× 26 297
Jale Tezcan 176 0.7× 77 0.7× 68 1.7× 25 0.8× 20 0.7× 25 328
F.A. DiazDelaO 205 0.8× 54 0.5× 93 2.3× 20 0.6× 29 1.1× 29 387
Azadeh Noori Hoshyar 139 0.5× 60 0.5× 51 1.3× 19 0.6× 33 1.2× 20 306
Said Quqa 317 1.2× 56 0.5× 58 1.4× 37 1.1× 18 0.7× 38 380
Bin Ma 149 0.6× 61 0.5× 49 1.2× 36 1.1× 13 0.5× 39 367
Erica Magagnini 256 1.0× 81 0.7× 95 2.4× 18 0.5× 22 0.8× 34 384
Kazuo Yonekura 109 0.4× 100 0.9× 47 1.2× 31 0.9× 40 1.5× 35 390
Gang S. Chen 251 1.0× 99 0.9× 63 1.6× 37 1.1× 24 0.9× 28 306
Zhili He 181 0.7× 85 0.8× 29 0.7× 14 0.4× 37 1.4× 14 315

Countries citing papers authored by Kang Yang

Since Specialization
Citations

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

Fields of papers citing papers by Kang Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Yang

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