Kun Dai

316 papers and 17.4k indexed citations i.

About

Kun Dai is a scholar working on Biomedical Engineering, Polymers and Plastics and Mechanical Engineering. According to data from OpenAlex, Kun Dai has authored 316 papers receiving a total of 17.4k indexed citations (citations by other indexed papers that have themselves been cited), including 171 papers in Biomedical Engineering, 159 papers in Polymers and Plastics and 62 papers in Mechanical Engineering. Recurrent topics in Kun Dai’s work include Advanced Sensor and Energy Harvesting Materials (151 papers), Conducting polymers and applications (104 papers) and Polymer crystallization and properties (48 papers). Kun Dai is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (151 papers), Conducting polymers and applications (104 papers) and Polymer crystallization and properties (48 papers). Kun Dai collaborates with scholars based in China, United States and Australia. Kun Dai's co-authors include Chuntai Liu, Guoqiang Zheng, Changyu Shen, Leon L. Shaw, Zhanhu Guo, Changyu Shen, Zhong‐Ming Li, Hu Liu, Jiang Guo and Ding‐Xiang Yan and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Kun Dai i

Fields of papers citing papers by Kun Dai

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

Countries citing papers authored by Kun Dai

Since Specialization
Citations

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

Rankless by CCL
2025