Peiliang Wu

30 papers and 612 indexed citations i.

About

Peiliang Wu is a scholar working on Artificial Intelligence, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Peiliang Wu has authored 30 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Peiliang Wu’s work include COVID-19 diagnosis using AI (7 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Machine Learning and ELM (4 papers). Peiliang Wu is often cited by papers focused on COVID-19 diagnosis using AI (7 papers), Pulmonary Hypertension Research and Treatments (4 papers) and Machine Learning and ELM (4 papers). Peiliang Wu collaborates with scholars based in China, Iran and Taiwan. Peiliang Wu's co-authors include Liangxing Wang, Mayun Chen, Xiaoying Huang, Huiling Chen, Ali Asghar Heidari, Hua Ye, Yanfan Chen, Dan Yao, Xiaoying Huang and Ali Chen and has published in prestigious journals such as Life Sciences, IEEE Access and Investigative Ophthalmology & Visual Science.

In The Last Decade

Co-authorship network of co-authors of Peiliang Wu i

Fields of papers citing papers by Peiliang Wu

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

Countries citing papers authored by Peiliang Wu

Since Specialization
Citations

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

Rankless by CCL
2025