Victor S. Sheng
About
Victor S. Sheng has authored 221 papers that have received a total of 5.1k indexed citations.
This includes 140 papers in Artificial Intelligence, 62 papers in Computer Vision and Pattern Recognition and 55 papers in Information Systems. The topics of these papers are Recommender Systems and Techniques (32 papers), Anomaly Detection Techniques and Applications (24 papers) and Machine Learning and Data Classification (23 papers). Victor S. Sheng is often cited by papers focused on Recommender Systems and Techniques (32 papers), Anomaly Detection Techniques and Applications (24 papers) and Machine Learning and Data Classification (23 papers) and collaborates with scholars based in United States, China and Australia. Victor S. Sheng's co-authors include Pengpeng Zhao, Zhiming Cui and Wei Fang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing
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