Fang Wu

57 papers and 2.1k indexed citations i.

About

Fang Wu is a scholar working on Materials Chemistry, Management Science and Operations Research and Statistical and Nonlinear Physics. According to data from OpenAlex, Fang Wu has authored 57 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 12 papers in Management Science and Operations Research and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Fang Wu’s work include Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (8 papers) and Corrosion Behavior and Inhibition (7 papers). Fang Wu is often cited by papers focused on Complex Network Analysis Techniques (9 papers), Opinion Dynamics and Social Influence (8 papers) and Corrosion Behavior and Inhibition (7 papers). Fang Wu collaborates with scholars based in United States, China and United Kingdom. Fang Wu's co-authors include Bernardo A. Huberman, Daniel M. Romero, Lada A. Adamic, Joshua R. Tyler, Shengming Xu, Samuel Schacher, Linyan Li, Yuqing Wen, Bernardo A. Huberman and Wei Shang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Co-authorship network of co-authors of Fang Wu i

Fields of papers citing papers by Fang 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 Fang Wu. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Fang Wu may publish in the future.

Countries citing papers authored by Fang Wu

Since Specialization
Citations

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

Rankless by CCL
2025