Peng Yao

16 papers and 444 indexed citations i.

About

Peng Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Peng Yao has authored 16 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Peng Yao’s work include Multimodal Machine Learning Applications (4 papers), Electrocatalysts for Energy Conversion (4 papers) and Fuel Cells and Related Materials (3 papers). Peng Yao is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Electrocatalysts for Energy Conversion (4 papers) and Fuel Cells and Related Materials (3 papers). Peng Yao collaborates with scholars based in China, United States and Russia. Peng Yao's co-authors include Jing Liu, Longteng Guo, Hanqing Lu, Xinxin Zhu, Shichen Lu, Shuwei Shen, Ronald X. Xu, Pengfei Shao, Fan Zhang and Benjamin H. Kaffenberger and has published in prestigious journals such as The Journal of Physical Chemistry C, Neuroscience and Small.

In The Last Decade

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

Fields of papers citing papers by Peng Yao

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

Countries citing papers authored by Peng Yao

Since Specialization
Citations

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

Rankless by CCL
2025