Guoling Shen

454 citations
11 papers · 336 · h-index 8

Impact in

Papers in

Guoling Shen

11 papers receiving 310 citations

Peers

Guoling Shen
Comparison fields: 5 of 57
  • Computer Graphics and Computer-Aided Design 56
  • Ecology 150
  • Geochemistry and Petrology 21
  • Computational Mechanics 74
  • Oceanography 43
Replace Jordan Bell with:
Jordan Bell United States
Nagwa El-Ashmawy Egypt
K. Tempfli Hong Kong
Matthew B.J. Purss Australia
Guillaume Cordonnier France
Laércio Massaru Namikawa Brazil
Salvatore Gabriele Italy
Carine Lucas France
Amin Niayifar Switzerland
Guoling Shen relative to Jordan Bell United States Jordan Bell's profile →
Citations per field
00.5×10×15×20×24.7×
Jordan Bell · 1×
Citations per year

Countries citing papers authored by Guoling Shen

Since Specialization
Citations

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

Fields of papers citing papers by Guoling Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Guoling Shen, 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 Guoling Shen Line = papers co-authored together Guoling Shen links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1987152
2 202063
3 199744
4 200118
5 200013
6 202111
7 199811
8 20239
9 20017
10 20005
11 20013

About Guoling Shen

Guoling Shen is a scholar working on Computational Mechanics, Ecology, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 336 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (5 papers), Remote Sensing in Agriculture (3 papers), Computational Geometry and Mesh Generation (3 papers), Numerical Methods and Algorithms (3 papers), Robotic Path Planning Algorithms (2 papers), Remote Sensing and Land Use (2 papers), Model Reduction and Neural Networks (2 papers) and Computer Graphics and Visualization Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (56 citations), Ecology (150 citations), Geochemistry and Petrology (21 citations), Computational Mechanics (74 citations) and Oceanography (43 citations). Guoling Shen has collaborated with scholars based in United States and China. Frequent co-authors include David W. Lea, E. A. Boyle, Nicholas M. Patrikalakis, Takis Sakkalis, Takashi Maekawa, Yonglin Shen, Han Zhai, Tianqi Li, Changmin Jiang and Xinkai Liu. Their work appears in journals such as Computer-Aided Design, Graphical Models, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Nature and ISPRS Journal of Photogrammetry and Remote Sensing.

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.

Explore authors with similar magnitude of impact