Xiaodan Song

13 papers and 225 indexed citations i.

About

Xiaodan Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Xiaodan Song has authored 13 papers receiving a total of 225 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Xiaodan Song’s work include Image Retrieval and Classification Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Video Analysis and Summarization (3 papers). Xiaodan Song is often cited by papers focused on Image Retrieval and Classification Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Video Analysis and Summarization (3 papers). Xiaodan Song collaborates with scholars based in United States, China and Canada. Xiaodan Song's co-authors include Koji Hino, Yün Chi, Ming–Ting Sun, Ching‐Yung Lin and Belle L. Tseng and has published in prestigious journals such as Strategic Management Journal, Journal of Marketing Research and Journal of Product Innovation Management.

In The Last Decade

Fields of papers citing papers by Xiaodan Song

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

Countries citing papers authored by Xiaodan Song

Since Specialization
Citations

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

Rankless by CCL
2025