Guangrun Wang

33 papers and 1.5k indexed citations i.

About

Guangrun Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Guangrun Wang has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 8 papers in Biomedical Engineering. Recurrent topics in Guangrun Wang’s work include Domain Adaptation and Few-Shot Learning (12 papers), Human Pose and Action Recognition (10 papers) and Advanced Neural Network Applications (9 papers). Guangrun Wang is often cited by papers focused on Domain Adaptation and Few-Shot Learning (12 papers), Human Pose and Action Recognition (10 papers) and Advanced Neural Network Applications (9 papers). Guangrun Wang collaborates with scholars based in China, United Kingdom and Australia. Guangrun Wang's co-authors include Liang Lin, Shengyong Ding, Hongyang Chao, Xiaodan Liang, Xiaojun Chang, Baoxiang Peng, Dezheng Wang, Qing Shu, Jinfu Wang and Ya Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Fuel and Industrial & Engineering Chemistry Research.

In The Last Decade

Co-authorship network of co-authors of Guangrun Wang i

Fields of papers citing papers by Guangrun Wang

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 Guangrun Wang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Guangrun Wang may publish in the future.

Countries citing papers authored by Guangrun Wang

Since Specialization
Citations

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

Rankless by CCL
2025