Hua Shi

30 papers and 385 indexed citations i.

About

Hua Shi is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Hua Shi has authored 30 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Hua Shi’s work include Machine Learning in Bioinformatics (10 papers), Genomics and Phylogenetic Studies (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Hua Shi is often cited by papers focused on Machine Learning in Bioinformatics (10 papers), Genomics and Phylogenetic Studies (5 papers) and Advanced Image and Video Retrieval Techniques (3 papers). Hua Shi collaborates with scholars based in China and Macao. Hua Shi's co-authors include Quan Zou, Ying Ju, Yijie Ding, Huihan Wang and Yun Wu and has published in prestigious journals such as Blood, Bioinformatics and Analytical Biochemistry.

In The Last Decade

Fields of papers citing papers by Hua Shi

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

Countries citing papers authored by Hua Shi

Since Specialization
Citations

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

Rankless by CCL
2025