Ka-Ho Chow

24 papers and 224 indexed citations i.

About

Ka-Ho Chow is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ka-Ho Chow has authored 24 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Signal Processing. Recurrent topics in Ka-Ho Chow’s work include Adversarial Robustness in Machine Learning (11 papers), Privacy-Preserving Technologies in Data (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Ka-Ho Chow is often cited by papers focused on Adversarial Robustness in Machine Learning (11 papers), Privacy-Preserving Technologies in Data (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Ka-Ho Chow collaborates with scholars based in United States, Hong Kong and China. Ka-Ho Chow's co-authors include Ling Liu, Wenqi Wei, Yanzhao Wu, Lucas C. K. Hui, J. Alexander Bae, Stacey Truex, Margaret L. Loper, Arun Iyengar, Calton Pu and Qi Zhang and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Information Forensics and Security and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Co-authorship network of co-authors of Ka-Ho Chow i

Fields of papers citing papers by Ka-Ho Chow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka-Ho Chow. 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 Ka-Ho Chow. The network helps show where Ka-Ho Chow may publish in the future.

Countries citing papers authored by Ka-Ho Chow

Since Specialization
Citations

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