Ming-Wei Shih

2 papers and 132 indexed citations i.

About

Ming-Wei Shih is a scholar working on Artificial Intelligence, Signal Processing and Materials Chemistry. According to data from OpenAlex, Ming-Wei Shih has authored 2 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Signal Processing and 1 paper in Materials Chemistry. Recurrent topics in Ming-Wei Shih’s work include Advanced Malware Detection Techniques (2 papers), Security and Verification in Computing (2 papers) and Digital and Cyber Forensics (1 paper). Ming-Wei Shih is often cited by papers focused on Advanced Malware Detection Techniques (2 papers), Security and Verification in Computing (2 papers) and Digital and Cyber Forensics (1 paper). Ming-Wei Shih collaborates with scholars based in United States and United Kingdom. Ming-Wei Shih's co-authors include Taesoo Kim, Kangjie Lu, Ji Yang, Chenxiong Qian and Sangho Lee and has published in prestigious journals such as ACM Computing Surveys.

In The Last Decade

Fields of papers citing papers by Ming-Wei Shih

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 Ming-Wei Shih. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ming-Wei Shih may publish in the future.

Countries citing papers authored by Ming-Wei Shih

Since Specialization
Citations

This map shows the geographic impact of Ming-Wei Shih'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 Ming-Wei Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Wei Shih more than expected).

Rankless by CCL
2025