Xiaodan Li
About
Xiaodan Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems.
According to data from OpenAlex, Xiaodan Li has authored 26 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Xiaodan Li’s work include Adversarial Robustness in Machine Learning (8 papers), Digital Media Forensic Detection (5 papers) and Software Engineering Research (4 papers). Xiaodan Li is often cited by papers focused on Adversarial Robustness in Machine Learning (8 papers), Digital Media Forensic Detection (5 papers) and Software Engineering Research (4 papers). Xiaodan Li collaborates with scholars based in China, United States and Australia. Xiaodan Li's co-authors include Yuan He, Hui Xue, Yuefeng Chen and Yao Zhu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Expert Systems with Applications.
In The Last Decade
Fields of papers citing papers by Xiaodan Li
Since SpecializationEngineeringComputer 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 Li. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xiaodan Li may publish in the future.
Countries citing papers authored by Xiaodan Li
Since SpecializationCitations
This map shows the geographic impact of Xiaodan Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Li more than expected).
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