Xingjun Pi
About
Xingjun Pi is a scholar working on Molecular Biology, Genetics and Artificial Intelligence.
According to data from OpenAlex, Xingjun Pi has authored 4 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Artificial Intelligence. Recurrent topics in Xingjun Pi’s work include Biomedical Text Mining and Ontologies (3 papers), Topic Modeling (1 paper) and Renal and related cancers (1 paper). Xingjun Pi is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Topic Modeling (1 paper) and Renal and related cancers (1 paper). Xingjun Pi collaborates with scholars based in United Kingdom, Australia and United States. Xingjun Pi's co-authors include Johanna McEntyre, Şenay Kafkas, Jee-Hyub Kim, Oliver Kilian and Simon D Harding and has published in prestigious journals such as Nucleic Acids Research and Journal of Biomedical Semantics.
In The Last Decade
Fields of papers citing papers by Xingjun Pi
Since SpecializationEngineeringComputer 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 Xingjun Pi. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Xingjun Pi may publish in the future.
Countries citing papers authored by Xingjun Pi
Since SpecializationCitations
This map shows the geographic impact of Xingjun Pi'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 Xingjun Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingjun Pi more than expected).
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