Tin Kam Ho

About

Tin Kam Ho is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Tin Kam Ho has authored 58 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Tin Kam Ho’s work include Machine Learning and Data Classification (12 papers), Neural Networks and Applications (6 papers) and Machine Learning and Algorithms (5 papers). Tin Kam Ho is often cited by papers focused on Machine Learning and Data Classification (12 papers), Neural Networks and Applications (6 papers) and Machine Learning and Algorithms (5 papers). Tin Kam Ho collaborates with scholars based in United States, Germany and United Kingdom. Tin Kam Ho's co-authors include Sargur N. Srihari, J.J. Hull, Mitra Basu, Jiangang Hao, Piotr Mirowski, Chun-Nam Yu, Henry S. Baird, Michael B. MacDonald, Ana Carolina Lorena and Marcílio C. P. de Souto and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Smart Grid and ACM Computing Surveys.

In The Last Decade

Co-authorship network of co-authors of Tin Kam Ho i

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Fields of papers citing papers by Tin Kam Ho

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tin Kam Ho. 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 Tin Kam Ho. The network helps show where Tin Kam Ho may publish in the future.

Countries citing papers authored by Tin Kam Ho

Since Specialization

Citations

This map shows the geographic impact of Tin Kam Ho'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 Tin Kam Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tin Kam Ho 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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