See-Kiong Ng

About

See-Kiong Ng is a scholar working on Molecular Biology, Artificial Intelligence and Information Systems. According to data from OpenAlex, See-Kiong Ng has authored 78 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 31 papers in Artificial Intelligence and 15 papers in Information Systems. Recurrent topics in See-Kiong Ng’s work include Bioinformatics and Genomic Networks (24 papers), Topic Modeling (13 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 (13 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, Chris Soon Heng Tan, Wing‐Kin Sung, Min Wu and Chee-Keong Kwoh and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Fields of papers citing papers by See-Kiong Ng

Since Specialization

EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by See-Kiong Ng. Nodes represent fields, and links connect fields that are likely to share authors. 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).

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