Hua Tang

About

Hua Tang is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Hua Tang has authored 56 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 5 papers in Cancer Research and 5 papers in Computational Theory and Mathematics. Recurrent topics in Hua Tang’s work include Machine Learning in Bioinformatics (39 papers), RNA and protein synthesis mechanisms (19 papers) and Genomics and Phylogenetic Studies (17 papers). Hua Tang is often cited by papers focused on Machine Learning in Bioinformatics (39 papers), RNA and protein synthesis mechanisms (19 papers) and Genomics and Phylogenetic Studies (17 papers). Hua Tang collaborates with scholars based in China, United States and Saudi Arabia. Hua Tang's co-authors include Hao Lin, Wei Chen, Hui Ding and Ya-Wei Zhao and has published in prestigious journals such as Bioinformatics, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Fields of papers citing papers by Hua Tang

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

Countries citing papers authored by Hua Tang

Since Specialization

Citations

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

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