See-Kiong Ng

84 papers and 1.9k indexed citations i.

About

See-Kiong Ng is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, See-Kiong Ng has authored 84 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 33 papers in Molecular Biology and 17 papers in Information Systems. Recurrent topics in See-Kiong Ng’s work include Bioinformatics and Genomic Networks (24 papers), Topic Modeling (14 papers) and Metabolic Engineering and Synthetic Biology (11 papers). See-Kiong Ng is often cited by papers focused on Bioinformatics and Genomic Networks (24 papers), Topic Modeling (14 papers) and Metabolic Engineering and Synthetic Biology (11 papers). See-Kiong Ng collaborates with scholars based in Singapore, China and United States. See-Kiong Ng's co-authors include Xiaoli Li, Min Wu, Chee-Keong Kwoh, Chris Soon Heng Tan, Chee Keong Kwoh, Peng Yang, Zhuo Zhang, Marie Wong, Wei Li and Bo Zhang and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of See-Kiong Ng i

Fields of papers citing papers by See-Kiong Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by See-Kiong Ng. 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 See-Kiong Ng. The network helps show where See-Kiong Ng may publish in the future.

Countries citing papers authored by See-Kiong Ng

Since Specialization
Citations

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