Peng Hu

72 papers and 2.0k indexed citations i.

About

Peng Hu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Peng Hu has authored 72 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Computer Vision and Pattern Recognition, 41 papers in Artificial Intelligence and 4 papers in Media Technology. Recurrent topics in Peng Hu’s work include Advanced Image and Video Retrieval Techniques (33 papers), Domain Adaptation and Few-Shot Learning (18 papers) and Multimodal Machine Learning Applications (15 papers). Peng Hu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (33 papers), Domain Adaptation and Few-Shot Learning (18 papers) and Multimodal Machine Learning Applications (15 papers). Peng Hu collaborates with scholars based in China, Singapore and United Kingdom. Peng Hu's co-authors include Dezhong Peng, Xi Peng, Liangli Zhen, Yunfan Li, Xu Wang, Joey Tianyi Zhou, Zitao Liu, Jiancheng Lv, Mouxing Yang and Jie Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Peng Hu i

Fields of papers citing papers by Peng Hu

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

Countries citing papers authored by Peng Hu

Since Specialization
Citations

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

Rankless by CCL
2025