Teng-Sheng Moh

44 papers and 397 indexed citations i.

About

Teng-Sheng Moh is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Teng-Sheng Moh has authored 44 papers receiving a total of 397 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Information Systems and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Teng-Sheng Moh’s work include Advanced Text Analysis Techniques (6 papers), Sentiment Analysis and Opinion Mining (5 papers) and Spam and Phishing Detection (5 papers). Teng-Sheng Moh is often cited by papers focused on Advanced Text Analysis Techniques (6 papers), Sentiment Analysis and Opinion Mining (5 papers) and Spam and Phishing Detection (5 papers). Teng-Sheng Moh collaborates with scholars based in United States, Singapore and Nigeria. Teng-Sheng Moh's co-authors include Melody Moh, Yang Peng, Liang Wu, Natalia Khuri, Ching-Fong Su, Takeo Hamada, Rahul S. Dalal, Zhang Zhang, Charles U. Martel and Andrew Jong and has published in prestigious journals such as IEEE Transactions on Computers, IEEE Vehicular Technology Magazine and International Journal of Cloud Applications and Computing.

In The Last Decade

Co-authorship network of co-authors of Teng-Sheng Moh i

Fields of papers citing papers by Teng-Sheng Moh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Teng-Sheng Moh

Since Specialization
Citations

This map shows the geographic impact of Teng-Sheng 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 Teng-Sheng Moh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Teng-Sheng 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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2025