Guoping Wang

6.3k citations
213 papers · 4.0k · h-index 35

Impact in

Papers in

    • Plant Virus Research Studies 42
    • Plant-Microbe Interactions and Immunity 14
    • 3D Shape Modeling and Analysis 35
    • Advanced Numerical Analysis Techniques 25

Guoping Wang

202 papers receiving 3.9k citations

Peers

Guoping Wang
Comparison fields: 5 of 181
  • Endocrinology 678
  • Computer Graphics and Computer-Aided Design 351
  • Computer Vision and Pattern Recognition 1.0k
  • Human-Computer Interaction 249
  • Geology 208
Replace Qixing Huang with:
Qixing Huang United States
Sebastian Scherer United States
David Kim United States
Tamy Boubekeur France
Jing Wu China
Tianwei Lin China
Yuanming Hu United States
Wanlong Li China
Kun Zhou China
Yoshihiro Kawahara Japan
Guoping Wang relative to Qixing Huang United States Qixing Huang's profile →
Citations per field
00.5×10×20×33.9×
Qixing Huang · 1×
Citations per year

Countries citing papers authored by Guoping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guoping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Guoping 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 Guoping Wang Line = papers co-authored together Guoping Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 213 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019141
2 2002128
3 2020128
4 2021125
5 2012120
6 2014110
7 201496
8 202087
9 201785
10 201979
11 202072
12 202072
13 201168
14 200161
15 201660
16 201660
17 202259
18 201459
19 201957
20 201956

About Guoping Wang

Guoping Wang is a scholar working on Plant Science, Computational Mechanics, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Endocrinology, having authored 213 papers that have together received 4.0k indexed citations. Recurring topics across this work include Plant Virus Research Studies (42 papers), 3D Shape Modeling and Analysis (35 papers), Plant and Fungal Interactions Research (33 papers), Computer Graphics and Visualization Techniques (33 papers), Advanced Numerical Analysis Techniques (25 papers), Advanced Vision and Imaging (22 papers), Plant-Microbe Interactions and Immunity (14 papers) and Plant Pathogens and Fungal Diseases (13 papers). The work is most often cited by research in Endocrinology (678 citations), Computer Graphics and Computer-Aided Design (351 citations), Computer Vision and Pattern Recognition (1.0k citations), Human-Computer Interaction (249 citations) and Geology (208 citations). Guoping Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ní Hóng, Yisong Chen, Sheng Li, Zizhuang Wei, Wénxìng Xú, Lifeng Zhai, Zhiming Hu, Liping Wang, Yaw L. Siow and O Karmin. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, ACM Transactions on Graphics, Viruses, Archives of Virology and Computer Graphics Forum.

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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