Shiwei Wang

101 total papers · 1.0k total citations
70 papers, 717 citations indexed

About

Shiwei Wang is a scholar working on Epidemiology, Dermatology and Neurology. According to data from OpenAlex, Shiwei Wang has authored 70 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 9 papers in Dermatology and 9 papers in Neurology. Recurrent topics in Shiwei Wang's work include Facial Rejuvenation and Surgery Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced Fiber Laser Technologies (7 papers). Shiwei Wang is often cited by papers focused on Facial Rejuvenation and Surgery Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced Fiber Laser Technologies (7 papers). Shiwei Wang collaborates with scholars based in China, United States and Australia. Shiwei Wang's co-authors include Bing Zhou, Mei-Yao Lin, Zu‐Hang Sheng, Yuxiang Xie, Kevin D. Foust, W. W. Lin, Yung‐Chih Chen, Yulong Tang, Jianqiu Xu and Jianlong Yang and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Shiwei Wang

61 papers receiving 690 citations

Author Peers

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

Author						Papers	Cites
Shiwei Wang	135	117	107	100	94	70	717
Yi‐Che Lee	90 0.7×	128 1.1×	55 0.5×	70 0.7×	58 0.6×	53	656
Chien-Ting Liu	168 1.2×	157 1.3×	81 0.8×	72 0.7×	38 0.4×	61	910
Shuna Li	211 1.6×	115 1.0×	71 0.7×	81 0.8×	21 0.2×	87	905
Rui Liu	86 0.6×	211 1.8×	108 1.0×	107 1.1×	50 0.5×	60	792
Ming‐Wen Chang	191 1.4×	80 0.7×	47 0.4×	27 0.3×	66 0.7×	50	666
Takao Satoh	94 0.7×	97 0.8×	39 0.4×	107 1.1×	106 1.1×	61	816
Xiaoyan Liu	152 1.1×	142 1.2×	20 0.2×	71 0.7×	41 0.4×	64	908
Н. Н. Петрищев	73 0.5×	112 1.0×	71 0.7×	23 0.2×	25 0.3×	84	645
Weifeng Zhang	199 1.5×	26 0.2×	96 0.9×	81 0.8×	118 1.3×	62	867
Yuying Wang	102 0.8×	185 1.6×	24 0.2×	105 1.1×	106 1.1×	56	710

Countries citing papers authored by Shiwei Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shiwei Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shiwei Wang

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