Kai Ming Ting

78 papers and 3.3k indexed citations i.

About

Kai Ming Ting is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kai Ming Ting has authored 78 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Artificial Intelligence, 23 papers in Signal Processing and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kai Ming Ting’s work include Anomaly Detection Techniques and Applications (32 papers), Machine Learning and Data Classification (19 papers) and Advanced Clustering Algorithms Research (13 papers). Kai Ming Ting is often cited by papers focused on Anomaly Detection Techniques and Applications (32 papers), Machine Learning and Data Classification (19 papers) and Advanced Clustering Algorithms Research (13 papers). Kai Ming Ting collaborates with scholars based in Australia, China and Japan. Kai Ming Ting's co-authors include Zhi‐Hua Zhou, Fei Tony Liu, Ian H. Witten, Ye Zhu, Dengsheng Zhang, Zhouyu Fu, Guojun Lu, Geoffrey I. Webb, Swee Chuan Tan and Mark Carman and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Kai Ming Ting i

Fields of papers citing papers by Kai Ming Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Ming Ting. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kai Ming Ting. The network helps show where Kai Ming Ting may publish in the future.

Countries citing papers authored by Kai Ming Ting

Since Specialization
Citations

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

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025