Melody Moh

About

Melody Moh is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Melody Moh has authored 30 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Computer Networks and Communications and 10 papers in Information Systems. Recurrent topics in Melody Moh’s work include Anomaly Detection Techniques and Applications (4 papers), Spam and Phishing Detection (4 papers) and Mobile Ad Hoc Networks (3 papers). Melody Moh is often cited by papers focused on Anomaly Detection Techniques and Applications (4 papers), Spam and Phishing Detection (4 papers) and Mobile Ad Hoc Networks (3 papers). Melody Moh collaborates with scholars based in United States, India and Spain. Melody Moh's co-authors include Teng-Sheng Moh, Yang Peng, Takeo Hamada, Ching-Fong Su, Liang Wu, Rashmi Agrawal, Yan Zhu, David Lin, Anusha Sridharan and Imrich Chlamtac and has published in prestigious journals such as Computer Communications, IEEE Vehicular Technology Magazine and International Journal of Sensor Networks.

In The Last Decade

Co-authorship network of co-authors of Melody Moh i

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Fields of papers citing papers by Melody Moh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Melody Moh

Since Specialization

Citations

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