Shin-Ting Wu

67 total papers · 407 total citations
45 papers, 257 citations indexed

About

Shin-Ting Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Shin-Ting Wu has authored 45 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 13 papers in Computer Graphics and Computer-Aided Design and 12 papers in Computational Mechanics. Recurrent topics in Shin-Ting Wu's work include Computer Graphics and Visualization Techniques (12 papers), 3D Shape Modeling and Analysis (7 papers) and Advanced Numerical Analysis Techniques (6 papers). Shin-Ting Wu is often cited by papers focused on Computer Graphics and Visualization Techniques (12 papers), 3D Shape Modeling and Analysis (7 papers) and Advanced Numerical Analysis Techniques (6 papers). Shin-Ting Wu collaborates with scholars based in Brazil, Germany and Taiwan. Shin-Ting Wu's co-authors include Sergio L. Novi, Rickson C. Mesquita, Clarissa Lin Yasuda, Dani Tost, Fernando Cendes, Sueli I. R. Costa, Ana Carolina Coan, Marcus A. M. de Aguiar, Lia Toledo Moreira Mota and Chih‐Hsing Hung and has published in prestigious journals such as Food and Chemical Toxicology, Frontiers in Neuroscience and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Shin-Ting Wu

42 papers receiving 241 citations

Author Peers

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

Author						Papers	Cites
Shin-Ting Wu	79	67	46	46	42	45	257
Hiroyuki Kubo	200 2.5×	24 0.4×	40 0.9×	58 1.3×	26 0.6×	59	312
Cheng Wan	60 0.8×	28 0.4×	14 0.3×	21 0.5×	21 0.5×	47	274
Huafeng Wang	106 1.3×	78 1.2×	32 0.7×	6 0.1×	23 0.5×	36	258
Kevin Desai	115 1.5×	20 0.3×	14 0.3×	11 0.2×	16 0.4×	28	266
Seong Jae Hwang	97 1.2×	73 1.1×	16 0.3×	10 0.2×	24 0.6×	32	295
Yipeng Qin	137 1.7×	6 0.1×	19 0.4×	51 1.1×	65 1.5×	33	257
Shuchang Xu	92 1.2×	20 0.3×	68 1.5×	9 0.2×	8 0.2×	41	254
Xu Chen	171 2.2×	23 0.3×	57 1.2×	17 0.4×	15 0.4×	38	291
Chenwei Tang	105 1.3×	34 0.5×	16 0.3×	17 0.4×	12 0.3×	30	236
Anastassia Angelopoulou	108 1.4×	22 0.3×	34 0.7×	4 0.1×	15 0.4×	32	299

Countries citing papers authored by Shin-Ting Wu

Since Specialization

Citations

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

Fields of papers citing papers by Shin-Ting Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shin-Ting Wu. 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 Shin-Ting Wu. The network helps show where Shin-Ting Wu may publish in the future.

Co-authorship network of co-authors of Shin-Ting Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shin-Ting Wu. A scholar is included among the top collaborators of Shin-Ting Wu 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 Shin-Ting Wu. Shin-Ting Wu 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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