Ga Wu

10 papers and 28 indexed citations i.

About

Ga Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Ga Wu has authored 10 papers receiving a total of 28 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Management Science and Operations Research. Recurrent topics in Ga Wu’s work include Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Techniques in Reservoir Management (2 papers). Ga Wu is often cited by papers focused on Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Techniques in Reservoir Management (2 papers). Ga Wu collaborates with scholars based in Canada, Australia and United States. Ga Wu's co-authors include Scott Sanner, Masoud Hashemi, Mohamed Reda Bouadjenek, Zheda Mai, Yi Sui, Justin Domke and Kai Luo and has published in prestigious journals such as Machine Learning, Journal of Artificial Intelligence Research and ACM Transactions on the Web.

In The Last Decade

Co-authorship network of co-authors of Ga Wu i

Fields of papers citing papers by Ga Wu

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

Countries citing papers authored by Ga Wu

Since Specialization
Citations

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

Rankless by CCL
2025