Te‐Yu Chen

15 papers and 368 indexed citations i.

About

Te‐Yu Chen is a scholar working on Control and Systems Engineering, Organic Chemistry and Artificial Intelligence. According to data from OpenAlex, Te‐Yu Chen has authored 15 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 4 papers in Organic Chemistry and 3 papers in Artificial Intelligence. Recurrent topics in Te‐Yu Chen’s work include Adaptive Control of Nonlinear Systems (4 papers), Catalytic C–H Functionalization Methods (3 papers) and Neural Networks and Applications (2 papers). Te‐Yu Chen is often cited by papers focused on Adaptive Control of Nonlinear Systems (4 papers), Catalytic C–H Functionalization Methods (3 papers) and Neural Networks and Applications (2 papers). Te‐Yu Chen collaborates with scholars based in Taiwan, United States and China. Te‐Yu Chen's co-authors include Michael J. Krische, Chih‐Min Lin, Joyce C. Leung, Jason R. Zbieg, Laina M. Geary, Cheng‐Chi Lee, Nancy E. Lewin, Noémi Kedei, P. A. Crowell and Peter M. Blumberg and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of the Acoustical Society of America and Organic Letters.

In The Last Decade

Co-authorship network of co-authors of Te‐Yu Chen i

Fields of papers citing papers by Te‐Yu Chen

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

Countries citing papers authored by Te‐Yu Chen

Since Specialization
Citations

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

Rankless by CCL
2025