Kang-Yu Ni

17 papers and 204 indexed citations i.

About

Kang-Yu Ni is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Kang-Yu Ni has authored 17 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Mechanics and 4 papers in Biomedical Engineering. Recurrent topics in Kang-Yu Ni’s work include Sparse and Compressive Sensing Techniques (7 papers), Medical Image Segmentation Techniques (3 papers) and Image and Signal Denoising Methods (2 papers). Kang-Yu Ni is often cited by papers focused on Sparse and Compressive Sensing Techniques (7 papers), Medical Image Segmentation Techniques (3 papers) and Image and Signal Denoising Methods (2 papers). Kang-Yu Ni collaborates with scholars based in United States, South Korea and China. Kang-Yu Ni's co-authors include Tony F. Chan, Selim Esedoḡlu, Xavier Bresson, Byung‐Woo Hong, Stefano Soatto, Svetlana Roudenko, P. Mahanti, Douglas Cochran, Tsai-Ching Lu and Shankar Rao and has published in prestigious journals such as International Journal of Computer Vision, Computer Vision and Image Understanding and Lecture notes in computer science.

In The Last Decade

Co-authorship network of co-authors of Kang-Yu Ni i

Fields of papers citing papers by Kang-Yu Ni

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

Countries citing papers authored by Kang-Yu Ni

Since Specialization
Citations

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

Rankless by CCL
2025