Ling‐Yun Wu

82 papers and 3.2k indexed citations i.

About

Ling‐Yun Wu is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Ling‐Yun Wu has authored 82 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 10 papers in Artificial Intelligence and 6 papers in Genetics. Recurrent topics in Ling‐Yun Wu’s work include Bioinformatics and Genomic Networks (19 papers), Machine Learning in Bioinformatics (18 papers) and Genomics and Phylogenetic Studies (16 papers). Ling‐Yun Wu is often cited by papers focused on Bioinformatics and Genomic Networks (19 papers), Machine Learning in Bioinformatics (18 papers) and Genomics and Phylogenetic Studies (16 papers). Ling‐Yun Wu collaborates with scholars based in China, United States and Japan. Ling‐Yun Wu's co-authors include Yu Xia, Luonan Chen, Xiang‐Sun Zhang and Yong Wang and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Bioinformatics.

In The Last Decade

Fields of papers citing papers by Ling‐Yun Wu

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

Countries citing papers authored by Ling‐Yun Wu

Since Specialization
Citations

This map shows the geographic impact of Ling‐Yun Wu'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 Wu 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 Wu more than expected).

Rankless by CCL
2025