Yinghui Wang

30 total papers · 443 total citations
21 papers, 311 citations indexed

About

Yinghui Wang is a scholar working on Computer Vision and Pattern Recognition, Geology and Computational Mechanics. According to data from OpenAlex, Yinghui Wang has authored 21 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Geology and 5 papers in Computational Mechanics. Recurrent topics in Yinghui Wang's work include 3D Surveying and Cultural Heritage (7 papers), Remote Sensing and LiDAR Applications (5 papers) and 3D Shape Modeling and Analysis (4 papers). Yinghui Wang is often cited by papers focused on 3D Surveying and Cultural Heritage (7 papers), Remote Sensing and LiDAR Applications (5 papers) and 3D Shape Modeling and Analysis (4 papers). Yinghui Wang collaborates with scholars based in China, United States and Malaysia. Yinghui Wang's co-authors include Xiaojuan Ning, Yufeng Guo, Xuezhong Zhou, Li P, Baoyan Liu, Shibo Chen, Z Gao, Xiufeng Yan, Hua Zhang and Ge Tian and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Access.

In The Last Decade

Yinghui Wang

20 papers receiving 300 citations

Author Peers

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

Author Last Decade Papers Cites
Yinghui Wang 100 94 69 65 57 21 311
Arnout Van Messem 18 0.2× 35 0.4× 37 0.5× 48 0.7× 26 0.5× 22 230
Hsueh‐Ting Chu 18 0.2× 53 0.6× 51 0.7× 18 0.3× 4 0.1× 31 276
Anant Ram 3 0.0× 14 0.1× 58 0.8× 122 1.9× 12 0.2× 19 282
Choo Jun Tan 7 0.1× 22 0.2× 70 1.0× 232 3.6× 4 0.1× 24 364
Guang‐Hui Fu 5 0.1× 58 0.6× 25 0.4× 122 1.9× 14 0.2× 25 360
Mohamed Abd Elfattah 5 0.1× 11 0.1× 81 1.2× 130 2.0× 5 0.1× 25 297
Fadzil Ahmad 4 0.0× 62 0.7× 59 0.9× 189 2.9× 9 0.2× 27 350
Huirui Han 5 0.1× 25 0.3× 90 1.3× 114 1.8× 5 0.1× 15 264
Nesma Settouti 8 0.1× 25 0.3× 82 1.2× 177 2.7× 3 0.1× 38 340
Jiayuan Wang 28 0.3× 8 0.1× 75 1.1× 143 2.2× 6 0.1× 29 321

Countries citing papers authored by Yinghui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yinghui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinghui Wang

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