Weijia Yang

32 total papers · 875 total citations
17 papers, 657 citations indexed

About

Weijia Yang is a scholar working on Computational Mechanics, Biomedical Engineering and Ophthalmology. According to data from OpenAlex, Weijia Yang has authored 17 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mechanics, 13 papers in Biomedical Engineering and 7 papers in Ophthalmology. Recurrent topics in Weijia Yang's work include Laser Material Processing Techniques (16 papers), Nonlinear Optical Materials Studies (8 papers) and Ocular and Laser Science Research (7 papers). Weijia Yang is often cited by papers focused on Laser Material Processing Techniques (16 papers), Nonlinear Optical Materials Studies (8 papers) and Ocular and Laser Science Research (7 papers). Weijia Yang collaborates with scholars based in United Kingdom, Japan and France. Weijia Yang's co-authors include Peter G. Kazansky, Yuri Svirko, Daniel W. Hewak, Mark Hughes, Alan Arai, Erica Bricchi, James M. Bovatsek, Yasuhiko Shimotsuma, Kazuyuki Hirao and Kiyotaka Miura and has published in prestigious journals such as Applied Physics Letters, Nature Photonics and Optics Express.

In The Last Decade

Weijia Yang

17 papers receiving 617 citations

Author Peers

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

Author						Papers	Cites
Weijia Yang	511	325	274	183	111	17	657
Erica Bricchi	650 1.3×	425 1.3×	289 1.1×	141 0.8×	105 0.9×	20	752
Masashi Masuda	614 1.2×	494 1.5×	144 0.5×	226 1.2×	97 0.9×	19	765
Jean-Philippe Bérubé	317 0.6×	248 0.8×	269 1.0×	298 1.6×	42 0.4×	29	628
Mike C. Nostrand	347 0.7×	205 0.6×	205 0.7×	264 1.4×	83 0.7×	32	662
A. Saliminia	277 0.5×	177 0.5×	383 1.4×	412 2.3×	50 0.5×	27	778
H. Varel	607 1.2×	273 0.8×	120 0.4×	93 0.5×	188 1.7×	13	691
N. Bloembergen	404 0.8×	149 0.5×	168 0.6×	436 2.4×	37 0.3×	14	780
Marcus V. Monticelli	420 0.8×	278 0.9×	49 0.2×	118 0.6×	85 0.8×	14	581
Jiangxin Song	263 0.5×	358 1.1×	249 0.9×	287 1.6×	49 0.4×	12	650
Can Kerse	318 0.6×	193 0.6×	380 1.4×	342 1.9×	79 0.7×	8	699

Countries citing papers authored by Weijia Yang

Since Specialization

Citations

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

Fields of papers citing papers by Weijia Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijia Yang

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