Ling-Yun Dai
About
Ling-Yun Dai is a scholar working on Molecular Biology, Cancer Research and Signal Processing.
According to data from OpenAlex, Ling-Yun Dai has authored 35 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Signal Processing. Recurrent topics in Ling-Yun Dai’s work include Gene expression and cancer classification (21 papers), Bioinformatics and Genomic Networks (18 papers) and Machine Learning in Bioinformatics (9 papers). Ling-Yun Dai is often cited by papers focused on Gene expression and cancer classification (21 papers), Bioinformatics and Genomic Networks (18 papers) and Machine Learning in Bioinformatics (9 papers). Ling-Yun Dai collaborates with scholars based in China. Ling-Yun Dai's co-authors include Jin‐Xing Liu, Junliang Shang, Shasha Yuan, Rong Zhu and Juan Wang and has published in prestigious journals such as BMC Bioinformatics, BMC Genomics and Experimental Biology and Medicine.
In The Last Decade
Fields of papers citing papers by Ling-Yun Dai
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 Ling-Yun Dai. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Ling-Yun Dai may publish in the future.
Countries citing papers authored by Ling-Yun Dai
Since SpecializationCitations
This map shows the geographic impact of Ling-Yun Dai'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 Ling-Yun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling-Yun Dai more than expected).
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