Ying Jun Wang

87 total papers · 518 total citations
39 papers, 424 citations indexed

About

Ying Jun Wang is a scholar working on Biomedical Engineering, Biomaterials and Oral Surgery. According to data from OpenAlex, Ying Jun Wang has authored 39 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 16 papers in Biomaterials and 9 papers in Oral Surgery. Recurrent topics in Ying Jun Wang's work include Bone Tissue Engineering Materials (27 papers), Dental Implant Techniques and Outcomes (9 papers) and Calcium Carbonate Crystallization and Inhibition (6 papers). Ying Jun Wang is often cited by papers focused on Bone Tissue Engineering Materials (27 papers), Dental Implant Techniques and Outcomes (9 papers) and Calcium Carbonate Crystallization and Inhibition (6 papers). Ying Jun Wang collaborates with scholars based in China, Singapore and United States. Ying Jun Wang's co-authors include Kun Wei, Shu Hua Zhang, Jingdi Chen, Xuetao Shi, Xiaofeng Chen, Ling Yu, Yang Xu, Shu Rui Ng, Hua Dong and Chang Ming Li and has published in prestigious journals such as Biomaterials, Lab on a Chip and Nanotechnology.

In The Last Decade

Ying Jun Wang

38 papers receiving 409 citations

Author Peers

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

Author						Papers	Cites
Ying Jun Wang	319	173	59	46	44	39	424
Monika Biernat	260 0.8×	157 0.9×	46 0.8×	40 0.9×	53 1.2×	34	434
Haohao Ren	200 0.6×	135 0.8×	91 1.5×	20 0.4×	28 0.6×	50	446
Benedetta Ghezzi	231 0.7×	98 0.6×	50 0.8×	44 1.0×	43 1.0×	31	394
Jérémy Soulié	237 0.7×	94 0.5×	134 2.3×	37 0.8×	74 1.7×	38	493
Lijuan Zhang	345 1.1×	103 0.6×	68 1.2×	33 0.7×	55 1.3×	24	445
Cenk Aktas	235 0.7×	82 0.5×	84 1.4×	81 1.8×	90 2.0×	32	471
Yonghao Wu	250 0.8×	70 0.4×	86 1.5×	50 1.1×	48 1.1×	19	431
Natalia Mihăilescu	292 0.9×	117 0.7×	128 2.2×	65 1.4×	58 1.3×	28	495
G. Bocelli	218 0.7×	98 0.6×	167 2.8×	41 0.9×	55 1.3×	41	448
Susumu Sakai	217 0.7×	65 0.4×	92 1.6×	26 0.6×	69 1.6×	30	380

Countries citing papers authored by Ying Jun Wang

Since Specialization

Citations

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

Fields of papers citing papers by Ying Jun Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying Jun Wang. 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 Ying Jun Wang. The network helps show where Ying Jun Wang may publish in the future.

Co-authorship network of co-authors of Ying Jun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Jun Wang. A scholar is included among the top collaborators of Ying Jun Wang 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 Ying Jun Wang. Ying Jun Wang 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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