The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Kai-Tai Fang sits on this spectrum.
This scientist: 228 publications — 72nd percentile
72% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Kai-Tai Fang sits on this spectrum.
This scientist: 49 D-Index — 69th percentile
69% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Kai-Tai Fang is a researcher affiliated with Beijing Normal University in China. Their work spans the fields of Computer Science and Mathematics, with a particular focus on Statistics and Probability, Analytical Chemistry, and Artificial Intelligence. Their research integrates topics such as Spectroscopy and Chemometric Analyses, Statistical Methods and Inference, Statistical Distribution Estimation and Applications, Probabilistic and Robust Engineering Design, Advanced Statistical Methods and Models, Face and Expression Recognition, and Machine Learning and Data Classification.
The scientist has produced publications in several notable venues. These include the Journal of Data Science, where they have two publications; Mathematics; Communication in Statistics - Theory and Methods; Entropy; and UNC Libraries.
Recent papers by Kai-Tai Fang cover diverse aspects of statistical and computational methods. These include:
Kai-Tai Fang has collaborated frequently with a number of coauthors. These include A. M. Elsawah, Barkahoum Laala, Gajendra K. Vishwakarma, Курт Вармуза, and Ping He.
Among the scientist's recognitions is their election as a Fellow of the American Statistical Association (ASA) in 2001.
Kai-Tai Fang;Samuel Kotz;Kai Wang Ng
Kai Tai Fang;Dennis K.J. Lin;Peter Winker;Yong Zhang
Hong-Bin Fang;Kai-Tai Fang;Samuel Kotz
Yi-zeng Liang;Kai-tai Fang;Qing-song Xu
Lixing Zhu;Kai Tai Fang
Jian-Xin Pan;Kai-Tai Fang
Xiaoqun Wang;Kai-Tai Fang
Kai-Tang Fang;T. W. Anderson
Kai-Tai Fang;Chang-Xing Ma;Peter Winker
Kai Tai Fang;Dennis K.J. Lin
Kaitai T. Fang;H. Niederreiter;F. J. Hickernell
Peter Winker;Kai-Tai Fang
Kai-Tai Fang;Min-Qian Liu;Hong Qin;Yong-Dao Zhou
Chang-Xing Ma;Kai-Tai Fang
Kai-Tai Fang;Rahul Mukerjee
T. W. Anderson;Huang Hsu;Kai-Tai Fang
Kai Tai Fang;Dennis K.J. Lin;Min Qian Liu
Kai-Tai Fang;Xuan Lu;Peter Winker
Kai-Tai Fang;Runze Li;Agus Sudjianto
Yong-Dao Zhou;Kai-Tai Fang;Kai-Tai Fang;Jian-Hui Ning
Kai-Tai Fang;Yuan Wang;Peter M. Bentler
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For students pursuing Mathematics in the USA, expanding skill sets with related online degrees can open diverse career pathways. Many mathematics graduates find success in fields like marketing, business administration, and data analytics, where analytical thinking is highly valued.
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Those focused on data-driven decision-making may consider an ms in data analytics. This degree complements mathematics by training students to interpret complex datasets, an essential skill across industries including finance, technology, and healthcare.
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