Hang Dong

About

Hang Dong is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Hang Dong has authored 71 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 21 papers in Artificial Intelligence and 8 papers in Cancer Research. Recurrent topics in Hang Dong’s work include Topic Modeling (16 papers), Biomedical Text Mining and Ontologies (10 papers) and Natural Language Processing Techniques (8 papers). Hang Dong is often cited by papers focused on Topic Modeling (16 papers), Biomedical Text Mining and Ontologies (10 papers) and Natural Language Processing Techniques (8 papers). Hang Dong collaborates with scholars based in China, United Kingdom and United States. Hang Dong's co-authors include Honghan Wu, Víctor Suárez-Paniagua, Beatrice Alex, William Whiteley and Yingjie Zhang and has published in prestigious journals such as Angewandte Chemie International Edition, JNCI Journal of the National Cancer Institute and Scientific Reports.

In The Last Decade

Fields of papers citing papers by Hang Dong

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

Countries citing papers authored by Hang Dong

Since Specialization

Citations

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

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