Sheng-yi Kong

8 papers and 139 indexed citations i.

About

Sheng-yi Kong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Oceanography. According to data from OpenAlex, Sheng-yi Kong has authored 8 papers receiving a total of 139 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Oceanography. Recurrent topics in Sheng-yi Kong’s work include Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Advanced Text Analysis Techniques (5 papers). Sheng-yi Kong is often cited by papers focused on Natural Language Processing Techniques (6 papers), Topic Modeling (5 papers) and Advanced Text Analysis Techniques (5 papers). Sheng-yi Kong collaborates with scholars based in Taiwan, United States and Japan. Sheng-yi Kong's co-authors include Lin-Shan Lee, Yinfei Yang, Brian Strope, Steve Yuan, Yun-Hsuan Sung, Heming Ge, Ray Kurzweil, Noah Constant, Daniel Cer and Yun-Nung Chen and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE/ACM Transactions on Audio Speech and Language Processing and NTUR (臺灣機構典藏).

In The Last Decade

Co-authorship network of co-authors of Sheng-yi Kong i

Fields of papers citing papers by Sheng-yi Kong

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

Countries citing papers authored by Sheng-yi Kong

Since Specialization
Citations

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

Rankless by CCL
2025