Te-Lin Wu

9 papers and 37 indexed citations i.

About

Te-Lin Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Pharmacology. According to data from OpenAlex, Te-Lin Wu has authored 9 papers receiving a total of 37 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Pharmacology. Recurrent topics in Te-Lin Wu’s work include Multimodal Machine Learning Applications (4 papers), Topic Modeling (3 papers) and Ginger and Zingiberaceae research (3 papers). Te-Lin Wu is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Topic Modeling (3 papers) and Ginger and Zingiberaceae research (3 papers). Te-Lin Wu collaborates with scholars based in United States, United Kingdom and Japan. Te-Lin Wu's co-authors include Nanyun Peng, Marjorie Freedman, Ralph Weischedel and Zhongyi Chen and has published in prestigious journals such as Journal of Systematics and Evolution and Novon A Journal for Botanical Nomenclature.

In The Last Decade

Fields of papers citing papers by Te-Lin 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 Te-Lin Wu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Te-Lin Wu may publish in the future.

Countries citing papers authored by Te-Lin Wu

Since Specialization
Citations

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

Rankless by CCL
2025