Ho Bae

13 papers and 193 indexed citations i.

About

Ho Bae is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Ho Bae has authored 13 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Ho Bae’s work include Adversarial Robustness in Machine Learning (4 papers), Advanced Malware Detection Techniques (3 papers) and Advanced Steganography and Watermarking Techniques (3 papers). Ho Bae is often cited by papers focused on Adversarial Robustness in Machine Learning (4 papers), Advanced Malware Detection Techniques (3 papers) and Advanced Steganography and Watermarking Techniques (3 papers). Ho Bae collaborates with scholars based in South Korea. Ho Bae's co-authors include Sungroh Yoon, Sunyoung Kwon, Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Chang‐Ho Yun, Jaekoo Lee, Uiwon Hwang, Yo-Han Kim and Yunheung Paek and has published in prestigious journals such as BMC Bioinformatics, Sensors and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Ho Bae i

Fields of papers citing papers by Ho Bae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ho Bae

Since Specialization
Citations

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