WU Tie-jun
About
WU Tie-jun is a scholar working on Control and Systems Engineering, Artificial Intelligence and Statistical and Nonlinear Physics.
According to data from OpenAlex, WU Tie-jun has authored 86 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Control and Systems Engineering, 18 papers in Artificial Intelligence and 16 papers in Statistical and Nonlinear Physics. Recurrent topics in WU Tie-jun’s work include Complex Network Analysis Techniques (16 papers), Opinion Dynamics and Social Influence (11 papers) and Iterative Learning Control Systems (9 papers). WU Tie-jun is often cited by papers focused on Complex Network Analysis Techniques (16 papers), Opinion Dynamics and Social Influence (11 papers) and Iterative Learning Control Systems (9 papers). WU Tie-jun collaborates with scholars based in China, Hong Kong and United States. WU Tie-jun's co-authors include Jia Shi, Furong Gao, Qi Xuan, Yanjun Li, Fang Du, Qi Xuan, Yanjun Li, David J. Hill, Junfeng Chen and Weiqiang Xu and has published in prestigious journals such as Construction and Building Materials, Industrial & Engineering Chemistry Research and Sensors.
In The Last Decade
Co-authorship network of co-authors of WU Tie-jun i
Fields of papers citing papers by WU Tie-jun
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 WU Tie-jun. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where WU Tie-jun may publish in the future.
Countries citing papers authored by WU Tie-jun
Since SpecializationCitations
This map shows the geographic impact of WU Tie-jun'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 WU Tie-jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites WU Tie-jun more than expected).
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