Ying Nian Wu

4 papers and 261 indexed citations i.

Ying Nian Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability. According to data from OpenAlex, Ying Nian Wu has authored 4 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Statistics and Probability. Recurrent topics in Ying Nian Wu’s work include Statistical Methods and Inference (1 paper), Soil Geostatistics and Mapping (1 paper) and Bayesian Methods and Mixture Models (1 paper). Ying Nian Wu is often cited by papers focused on Statistical Methods and Inference (1 paper), Soil Geostatistics and Mapping (1 paper) and Bayesian Methods and Mixture Models (1 paper). Ying Nian Wu collaborates with scholars based in United States and China. Ying Nian Wu's co-authors include Song‐Chun Zhu, Yinhui Deng, Lilla Boroczky and Donald B. Rubin and has published in prestigious journals such as Biometrika and Stat.