Daniel Kang

30 papers and 600 indexed citations i.

About

Daniel Kang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Daniel Kang has authored 30 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Daniel Kang’s work include Advanced Image and Video Retrieval Techniques (8 papers), Human Pose and Action Recognition (5 papers) and Adaptation to Concept Drift in Data Streams (4 papers). Daniel Kang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (8 papers), Human Pose and Action Recognition (5 papers) and Adaptation to Concept Drift in Data Streams (4 papers). Daniel Kang collaborates with scholars based in United States, Saudi Arabia and China. Daniel Kang's co-authors include Matei Zaharia, Peter Bailis, John Emmons, Firas Abuzaid, Tatsunori Hashimoto, David K. Gifford, Sachin Katti, Haoyang Zeng, Apoorva Sharma and Sandeep Chinchali and has published in prestigious journals such as Bioinformatics, PLoS ONE and Genome Research.

In The Last Decade

Co-authorship network of co-authors of Daniel Kang i

Fields of papers citing papers by Daniel Kang

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

Countries citing papers authored by Daniel Kang

Since Specialization
Citations

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

Rankless by CCL
2025