Yan‐Pei Cao

45 papers and 638 indexed citations i.

About

Yan‐Pei Cao is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Yan‐Pei Cao has authored 45 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 28 papers in Computational Mechanics and 27 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Yan‐Pei Cao’s work include 3D Shape Modeling and Analysis (28 papers), Computer Graphics and Visualization Techniques (27 papers) and Advanced Vision and Imaging (23 papers). Yan‐Pei Cao is often cited by papers focused on 3D Shape Modeling and Analysis (28 papers), Computer Graphics and Visualization Techniques (27 papers) and Advanced Vision and Imaging (23 papers). Yan‐Pei Cao collaborates with scholars based in China, Hong Kong and United States. Yan‐Pei Cao's co-authors include Shi‐Min Hu, Ying Shan, Xin Wen, Yu-Shen Liu and Pengfei Wan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.

In The Last Decade

Fields of papers citing papers by Yan‐Pei Cao

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Yan‐Pei Cao. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Yan‐Pei Cao may publish in the future.

Countries citing papers authored by Yan‐Pei Cao

Since Specialization
Citations

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

Rankless by CCL
2025