Hua Shen

35 papers and 257 indexed citations i.

About

Hua Shen is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Hua Shen has authored 35 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Artificial Intelligence and 6 papers in Cancer Research. Recurrent topics in Hua Shen’s work include MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers) and Topic Modeling (3 papers). Hua Shen is often cited by papers focused on MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers) and Topic Modeling (3 papers). Hua Shen collaborates with scholars based in China, United States and Canada. Hua Shen's co-authors include Ting-Hao Huang, Tongshuang Wu, Yongqian Shu, Wengeng Huang and Chuchu Shao and has published in prestigious journals such as Cancer Research, Scientific Reports and Remote Sensing.

In The Last Decade

Fields of papers citing papers by Hua Shen

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

Countries citing papers authored by Hua Shen

Since Specialization
Citations

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

Rankless by CCL
2025