Mingfu Xue

37 papers and 367 indexed citations i.

Mingfu Xue is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Mingfu Xue has authored 37 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 16 papers in Computer Vision and Pattern Recognition and 10 papers in Hardware and Architecture. Recurrent topics in Mingfu Xue’s work include Adversarial Robustness in Machine Learning (21 papers), Physical Unclonable Functions (PUFs) and Hardware Security (10 papers) and Advanced Malware Detection Techniques (6 papers). Mingfu Xue is often cited by papers focused on Adversarial Robustness in Machine Learning (21 papers), Physical Unclonable Functions (PUFs) and Hardware Security (10 papers) and Advanced Malware Detection Techniques (6 papers). Mingfu Xue collaborates with scholars based in China, Australia and United States. Mingfu Xue's co-authors include Weiqiang Liu, Jian Wang, Yushu Zhang, Shichang Sun, Weiqiang Liu, Weiqiang Liu, Máire O’Neill, Chongyan Gu, Jian Wang and Yinghao Wu and has published in prestigious journals such as PLoS ONE, IEEE Access and Information Sciences.