Guojin Wang

3.0k citations
182 papers · 2.3k · h-index 25

Impact in

Papers in

Guojin Wang

171 papers receiving 2.2k citations

Peers

Guojin Wang
Comparison fields: 5 of 138
  • Computer Graphics and Computer-Aided Design 687
  • Computational Mechanics 1.2k
  • Hematology 212
  • Numerical Analysis 107
  • Computer Vision and Pattern Recognition 408
Replace Michael J. Wilson with:
Michael J. Wilson United Kingdom
Sung Ha Kang United States
Ovidiu Daescu United States
Jianjun Qian China
Sergei Zuyev United Kingdom
Vincent Y. F. Tan Singapore
Fang Li China
Tom Haber Belgium
Philippe Pébaÿ United States
Francesco Rossi Italy
Guojin Wang relative to Michael J. Wilson United Kingdom Michael J. Wilson's profile →
Citations per field
00.5×6.2×
Michael J. Wilson · 1×
Citations per year

Countries citing papers authored by Guojin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guojin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guojin Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Guojin Wang Line = papers co-authored together Guojin Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 182 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993195
2 2009119
3 2005108
4 200385
5 200679
6 201578
7 200258
8 200357
9 200751
10 200746
11 201644
12 200237
13 201734
14 201434
15 199534
16 201131
17 200731
18 200529
19 199729
20 201126

About Guojin Wang

Guojin Wang is a scholar working on Computational Mechanics, Computer Graphics and Computer-Aided Design, Hematology, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 182 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (95 papers), Computer Graphics and Visualization Techniques (38 papers), 3D Shape Modeling and Analysis (34 papers), Computational Geometry and Mesh Generation (23 papers), Iterative Methods for Nonlinear Equations (14 papers), Manufacturing Process and Optimization (11 papers), Advanced Measurement and Metrology Techniques (10 papers) and Tribology and Lubrication Engineering (10 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (687 citations), Computational Mechanics (1.2k citations), Hematology (212 citations), Numerical Analysis (107 citations) and Computer Vision and Pattern Recognition (408 citations). Guojin Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shiqing Xin, Thomas W. Sederberg, Hongwei Lin, Chiew‐Lan Tai, Ligang Liu, Jia Song, Hujun Bao, Zhongping Ji, Rong Fu and Kai Tang. Their work appears in journals such as Computer Aided Geometric Design, Computer-Aided Design, Journal of Zhejiang University. Science A, Journal of Computational and Applied Mathematics and Progress in Natural Science Materials International.

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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